Datasets:

h1alexbel

/

sr-filtered

like 1

cloudnative-pg/cloudnative-pg

Welcome to the CloudNativePG project! CloudNativePG is a comprehensive open source platform designed to seamlessly manage PostgreSQL databases within Kubernetes environments, covering the entire operational lifecycle from initial deployment to ongoing maintenance. The main component is the CloudNativePG operator. CloudNativePG was originally built and sponsored by EDB . Table of content Code of conduct Governance policies Contributing Adopters License Getting Started The best way to get started is with the "Quickstart" section in the documentation. Scope The goal of CloudNativePG is to increase the adoption of PostgreSQL, one of the most loved DBMS in traditional VM and bare metal environments, inside Kubernetes, thus making the database an integral part of the development process and GitOps CI/CD automated pipelines. In scope CloudNativePG has been designed by Postgres experts with Kubernetes administrators in mind. Put simply, it leverages Kubernetes by extending its controller and by defining, in a programmatic way, all the actions that a good DBA would normally do when managing a highly available PostgreSQL database cluster. Since the inception, our philosophy has been to adopt a Kubernetes native approach to PostgreSQL cluster management, making incremental decisions that would answer the fundamental question: "What would a Kubernetes user expect from a Postgres operator?". The most important decision we made is to have the status of a PostgreSQL cluster directly available in the Cluster resource, so to inspect it through the Kubernetes API. We've fully embraced the operator pattern and eventual consistency, two of the core principles upon which Kubernetes is built for managing complex applications. As a result, the operator is responsible for managing the status of the Cluster resource, keeping it up to date with the information that each PostgreSQL instance manager regularly reports back through the API server. Changes to the cluster status might trigger, for example, actions like: a PostgreSQL failover where, after an unexpected failure of a cluster's primary instance, the operator itself elects the new primary, updates the status, and directly coordinates the operation through the reconciliation loop, by relying on the instance managers scaling up or down the number of read-only replicas, based on a positive or negative variation in the number of desired instances in the cluster, so that the operator creates or removes the required resources to run PostgreSQL, such as persistent volumes, persistent volume claims, pods, secrets, config maps, and then coordinates cloning and streaming replication tasks updates of the endpoints of the PostgreSQL services that applications rely on to interact with the database, as Kubernetes represents the single source of truth and authority updates of container images in a rolling fashion, following a change in the image name, by first updating the pods where replicas are running, and then the primary, issuing a switchover first The latter example is based on another pillar of CloudNativePG: immutable application containers - as explained in the blog article "Why EDB Chose Immutable Application Containers" . The above list can be extended. However, the gist is that CloudNativePG exclusively relies on the Kubernetes API server and the instance manager to coordinate the complex operations that need to take place in a business continuity PostgreSQL cluster, without requiring any assistance from an intermediate management tool responsible for high availability and failover management like similar open source operators. CloudNativePG also manages additional resources to help the Cluster resource manage PostgreSQL - currently Backup , ClusterImageCatalog , ImageCatalog , Pooler , and ScheduledBackup . Fully embracing Kubernetes means adopting a hands-off approach during temporary failures of the Kubernetes API server. In such instances, the operator refrains from taking action, deferring decisions until the API server is operational again. Meanwhile, Postgres instances persist, maintaining operations based on the latest known state of the cluster. Out of scope CloudNativePG is exclusively focused on the PostgreSQL database management system maintained by the PostgreSQL Global Development Group (PGDG). We are not currently considering adding to CloudNativePG extensions or capabilities that are included in forks of the PostgreSQL database management system, unless in the form of extensible or pluggable frameworks. CloudNativePG doesn't intend to pursue database independence (e.g. control a MariaDB cluster). Communications Slack Channel Github Discussions Twitter Resources Roadmap Website FAQ Blog Adopters A list of publicly known users of the CloudNativePG operator is in ADOPTERS.md . Help us grow our community and CloudNativePG by adding yourself and your organization to this list! CloudNativePG at KubeCon March 21 2024, KubeCon Europe 2024 in Paris: "Scaling Heights: Mastering Postgres Database Vertical Scalability with Kubernetes Storage Magic" (Gari Singh, Google & Gabriele Bartolini, EDB) March 19 2024, Data on Kubernetes Day at KubeCon Europe 2024 in Paris: "From Zero to Hero: Scaling Postgres in Kubernetes Using the Power of CloudNativePG" (Gabriele Bartolini, EDB) 7 November 2023, KubeCon North America 2023 in Chicago: "Disaster Recovery with Very Large Postgres Databases (in Kubernetes)" (Michelle Au, Google & Gabriele Bartolini, EDB) 27 October 2022, KubeCon North America 2022 in Detroit: "Data On Kubernetes, Deploying And Running PostgreSQL And Patterns For Databases In a Kubernetes Cluster" (Chris Milsted, Ondat & Gabriele Bartolini, EDB) Useful links Data on Kubernetes (DoK) Community "How to migrate your PostgreSQL database in Kubernetes with ~0 downtime from anywhere" by Gabriele Bartolini (March 2024) "Maximizing Microservice Databases with Kubernetes, Postgres, and CloudNativePG" by Gabriele Bartolini (February 2024) "Recommended Architectures for PostgreSQL in Kubernetes" by Gabriele Bartolini (September 2023) "The Current State of Major PostgreSQL Upgrades with CloudNativePG" by Gabriele Bartolini (August 2023) "The Rise of the Kubernetes Native Database" by Jeff Carpenter (December 2022) "Why Run Postgres in Kubernetes?" by Gabriele Bartolini (May 2022) "Shift-Left Security: The Path To PostgreSQL On Kubernetes" by Gabriele Bartolini (April 2021) "Local Persistent Volumes and PostgreSQL usage in Kubernetes" by Gabriele Bartolini (June 2020) Star History Trademarks Postgres, PostgreSQL and the Slonik Logo are trademarks or registered trademarks of the PostgreSQL Community Association of Canada, and used with their permission.

CloudNativePG is a comprehensive platform designed to seamlessly manage PostgreSQL databases within Kubernetes environments, covering the entire operational lifecycle from initial deployment to ongoing maintenance

postgres,postgresql,kubernetes,k8s,database,sql,operator,database-management,high-availability,self-healing

DGP-Studio/Snap.Hutao

胡桃工具箱是一款以 MIT 协议开源的原神工具箱，专为现代化 Windows 平台设计，旨在改善桌面端玩家的游戏体验。通过将既有的官方资源与开发团队设计的全新功能相结合，提供了一套完整且实用的工具集，且无需依赖任何移动设备。它不对游戏客户端进行任何破坏性修改以确保工具箱的安全性 Snap Hutao is an open-source Genshin Impact toolkit under MIT license, designed for modern Windows platform to improve the gaming experience for desktop players. By combining existing official resources with new features designed by the development team, it provides a complete and useful set of tools without the need to rely on mobile devices. Snap Hutao does not take any destructive modification to the game client to ensure the security of the toolkit. 安装 / Installation 你可以按照 快速开始 文档中提供的流程安装并设置 Snap Hutao。 You can follow the instructions in the Quick Start document to install and set up Snap Hutao. 本地化翻译 / Localization Snap Hutao 使用 Crowdin 作为客户端文本翻译平台，在该平台上你可以为你熟悉的语言提交翻译文本。我们感谢每一个为 Snap Hutao 做出贡献的社区成员，并且欢迎更多的朋友能参与到这个项目中。 Snap Hutao uses Crowdin as a client text translation platform where you can submit translated text for languages you are familiar with. We are grateful to every community member who has contributed to Snap Hutao and welcome more friends to participate in this project. 社区 / Community 贡献 / Contribute 向我们提交 PR / Make Pull Requests 为我们更新文档 / Enhance our Document 特别感谢 / Special Thanks HolographicHat UIGF organization 特定的原神项目 / Specific Genshin-related Projects Scighost/Starward 使用的技术栈 / Tech Stack CommunityToolkit/dotnet CommunityToolkit/Labs-Windows CommunityToolkit/Windows dotnet/efcore dotnet/runtime DotNetAnalyzers/StyleCopAnalyzers microsoft/vs-validation microsoft/WindowsAppSDK microsoft/microsoft-ui-xaml quartznet/quartznet 支撑项目 / Supporter Project Snap.Hutao.Server Snap.Metadata 赞助商 / Sponsorship Snap Hutao is currently using sponsored software from the following service providers. | | | | | :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | | | | | | | | | Netlify provides document and home page hosting service for Snap Hutao Crowdin provides its SaaS platform to help Snap Hutao's localization Jihu GitLab (极狐) provides Git repository and CI/CD SaaS service for Snap Hutao in China Free code signing provided by SignPath.io , certificate by SignPath Foundation 1Password provides Snap Hutao development team with their amazing password management software DigitalOcean provides reliable cloud database for Snap Hutao database backup Ducalis.io provides Snap Hutao project with a complete decision-making toolkit for project management Jetbrains provides powerful IDE for Snap Hutao infrastructure services coding 开发 / Development

实用的开源多功能原神工具箱 🧰 / Multifunctional Open-source Genshin Impact Toolkit 🧰

genshin-impact,yuanshen,genshin,hoyoverse,hutao,mihoyo,dotnet,windows,snap-hutao,winui3

huggingface/deep-rl-class

The Hugging Face Deep Reinforcement Learning Course 🤗 (v2.0) If you like the course, don't hesitate to ⭐ star this repository. This helps us 🤗 . This repository contains the Deep Reinforcement Learning Course mdx files and notebooks. The website is here : https://huggingface.co/deep-rl-course/unit0/introduction?fw=pt The syllabus 📚: https://simoninithomas.github.io/deep-rl-course The course 📚: https://huggingface.co/deep-rl-course/unit0/introduction?fw=pt Sign up here ➡️➡️➡️ http://eepurl.com/ic5ZUD Citing the project To cite this repository in publications: bibtex @misc{deep-rl-course, author = {Simonini, Thomas and Sanseviero, Omar}, title = {The Hugging Face Deep Reinforcement Learning Class}, year = {2023}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/huggingface/deep-rl-class}}, }

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

deep-reinforcement-learning,reinforcement-learning,reinforcement-learning-excercises,deep-learning

microsoft/Microsoft-3D-Movie-Maker

Microsoft 3D Movie Maker Released in 1995, this is the original source code to the Microsoft 3D Movie Maker project, now released under the MIT license as open source. Building instructions This project is unlikely to build successfully under modern hardware/software, but you can get started with compilation and get partial completed binaries. Here's what will get you going. Thanks to Mac Sample for their work on getting this far! Make sure this repo is checked out to a folder with a short name, ideally right on the root of a drive (i.e. C:\3d). You will need Visual C++ 2.0's dev tools (located under MSVC20\BIN on its installer disk) on your path. Modern compilers dislike some of the pre C++98 conventions. From the root of this repo, run setvars.bat you can change the values in this script to change what your build will target. Locate and place font files (see FONTS.md ) Run nmake and you'll begin building 3d Movie Maker. Contributing The source files in this repo are for historical reference and will be kept static, and this repository will be archived. Feel free to fork this repo and experiment. Code cleanup This code was restored from the Microsoft corporate archives and cleared for release. Developer names and aliases were removed, with the exception of current employees who worked on the original release who consented to keeping their names in place The archive consisted of several CDs, some of which were for alternate builds or products, and have been excluded The code does not build with today's engineering tools, and is released as-is. Trademarks This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines . Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies. This repo includes a build from 1995 of BRender from Argonaut software. Approval to open source BRender as MIT was given in an email from Jez San, former CEO of Argonaut. Other versions of BRender exist at https://github.com/foone/BRender-v1.3.2 and https://github.com/foone/BRender-1997 Thanks to Jez and the whole BRender team for their hard work on this amazing engine. A full historical list of BRender contributors is available at https://github.com/foone/BRender-v1.3.2/blob/main/README.md This repo does NOT include the SoftImage SDK "./DKIT" from 1992. Jez also offered this interesting BRender anecdote in an email: When Sam Littlewood designed BRender, he didn’t write the code. And then document it. The way most things were built at the time. First, he wrote the manual. The full documentation That served as the spec. Then the coding started.

This is the source code for the original Microsoft 3D Movie Maker released in 1995. This is not supported software.

[]

cirruslabs/tart

Tart is a virtualization toolset to build, run and manage macOS and Linux virtual machines (VMs) on Apple Silicon. Built by CI engineers for your automation needs. Here are some highlights of Tart: Tart uses Apple's own Virtualization.Framework for near-native performance . Push/Pull virtual machines from any OCI-compatible container registry. Use Tart Packer Plugin to automate VM creation. Easily integrates with any CI system. Tart powers Cirrus Runners service — a drop-in replacement for the standard GitHub-hosted runners, offering 2-3 times better performance for a fraction of the price. Many companies are using Tart in their internal setups. Here are a few of them: Note: If your company or project is using Tart please consider adding yourself to the list above . Usage Try running a Tart VM on your Apple Silicon device running macOS 13.0 (Ventura) or later (will download a 25 GB image): bash brew install cirruslabs/cli/tart tart clone ghcr.io/cirruslabs/macos-sonoma-base:latest sonoma-base tart run sonoma-base Please check the official documentation for more information and/or feel free to use discussions for remaining questions.

macOS and Linux VMs on Apple Silicon to use in CI and other automations

automation,macos,tart,virtualization,virtualization-framework,apple-silicon,ci

Giskard-AI/giskard

The Evaluation & Testing framework for LLMs & ML models Control risks of performance, bias and security issues in AI models [](https://github.com/Giskard-AI/giskard/releases) [](https://github.com/Giskard-AI/giskard/blob/main/LICENSE) [](https://github.com/Giskard-AI/giskard/actions/workflows/build-python.yml?query=branch%3Amain) [](https://sonarcloud.io/summary/new_code?id=giskard) [](https://gisk.ar/discord) Docs • Blog • Website • Discord Install Giskard 🐢 Install the latest version of Giskard from PyPi using pip: sh pip install "giskard[llm]" -U We officially support Python 3.9, 3.10 and 3.11. Try in Colab 📙 Open Colab notebook Giskard is an open-source Python library that automatically detects performance, bias & security issues in AI applications . The library covers LLM-based applications such as RAG agents, all the way to traditional ML models for tabular data. Scan: Automatically assess your LLM-based agents for performance, bias & security issues ⤵️ Issues detected include: - Hallucinations - Harmful content generation - Prompt injection - Robustness issues - Sensitive information disclosure - Stereotypes & discrimination - many more... RAG Evaluation Toolkit (RAGET): Automatically generate evaluation datasets & evaluate RAG application answers ⤵️ If you're testing a RAG application, you can get an even more in-depth assessment using RAGET , Giskard's RAG Evaluation Toolkit. RAGET can generate automatically a list of question , reference_answer and reference_context from the knowledge base of the RAG. You can then use this generated test set to evaluate your RAG agent. RAGET computes scores for each component of the RAG agent . The scores are computed by aggregating the correctness of the agent’s answers on different question types. Here is the list of components evaluated with RAGET : Generator : the LLM used inside the RAG to generate the answers Retriever : fetch relevant documents from the knowledge base according to a user query Rewriter : rewrite the user query to make it more relevant to the knowledge base or to account for chat history Router : filter the query of the user based on his intentions Knowledge Base : the set of documents given to the RAG to generate the answers Giskard works with any model, in any environment and integrates seamlessly with your favorite tools ⤵️ Contents 🤸‍♀️ Quickstart 1 . 🏗️ Build a LLM agent 2 . 🔎 Scan your model for issues 3 . 🪄 Automatically generate an evaluation dataset for your RAG applications 👋 Community 🤸‍♀️ Quickstart 1. 🏗️ Build a LLM agent Let's build an agent that answers questions about climate change, based on the 2023 Climate Change Synthesis Report by the IPCC. Before starting let's install the required libraries: sh pip install langchain tiktoken "pypdf<=3.17.0" ```python from langchain import OpenAI, FAISS, PromptTemplate from langchain.embeddings import OpenAIEmbeddings from langchain.document_loaders import PyPDFLoader from langchain.chains import RetrievalQA from langchain.text_splitter import RecursiveCharacterTextSplitter Prepare vector store (FAISS) with IPPC report text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=100, add_start_index=True) loader = PyPDFLoader("https://www.ipcc.ch/report/ar6/syr/downloads/report/IPCC_AR6_SYR_LongerReport.pdf") db = FAISS.from_documents(loader.load_and_split(text_splitter), OpenAIEmbeddings()) Prepare QA chain PROMPT_TEMPLATE = """You are the Climate Assistant, a helpful AI assistant made by Giskard. Your task is to answer common questions on climate change. You will be given a question and relevant excerpts from the IPCC Climate Change Synthesis Report (2023). Please provide short and clear answers based on the provided context. Be polite and helpful. Context: {context} Question: {question} Your answer: """ llm = OpenAI(model="gpt-3.5-turbo-instruct", temperature=0) prompt = PromptTemplate(template=PROMPT_TEMPLATE, input_variables=["question", "context"]) climate_qa_chain = RetrievalQA.from_llm(llm=llm, retriever=db.as_retriever(), prompt=prompt) ``` 2. 🔎 Scan your model for issues Next, wrap your agent to prepare it for Giskard's scan: ```python import giskard import pandas as pd def model_predict(df: pd.DataFrame): """Wraps the LLM call in a simple Python function. The function takes a pandas.DataFrame containing the input variables needed by your model, and must return a list of the outputs (one for each row). """ return [climate_qa_chain.run({"query": question}) for question in df["question"]] Don’t forget to fill the name and description : they are used by Giskard to generate domain-specific tests. giskard_model = giskard.Model( model=model_predict, model_type="text_generation", name="Climate Change Question Answering", description="This model answers any question about climate change based on IPCC reports", feature_names=["question"], ) ``` ✨✨✨Then run Giskard's magical scan✨✨✨ python scan_results = giskard.scan(giskard_model) Once the scan completes, you can display the results directly in your notebook: ```python display(scan_results) Or save it to a file scan_results.to_html("scan_results.html") ``` If you're facing issues, check out our docs for more information. 3. 🪄 Automatically generate an evaluation dataset for your RAG applications If the scan found issues in your model, you can automatically extract an evaluation dataset based on the issues found: python test_suite = scan_results.generate_test_suite("My first test suite") By default, RAGET automatically generates 6 different question types (these can be selected if needed, see advanced question generation). The total number of questions is divided equally between each question type. To make the question generation more relevant and accurate, you can also provide a description of your agent. ```python from giskard.rag import generate_testset, KnowledgeBase Load your data and initialize the KnowledgeBase df = pd.read_csv("path/to/your/knowledge_base.csv") knowledge_base = KnowledgeBase.from_pandas(df, columns=["column_1", "column_2"]) Generate a testset with 10 questions & answers for each question types (this will take a while) testset = generate_testset( knowledge_base, num_questions=60, language='en', # optional, we'll auto detect if not provided agent_description="A customer support chatbot for company X", # helps generating better questions ) ``` Depending on how many questions you generate, this can take a while. Once you’re done, you can save this generated test set for future use: ```python Save the generated testset testset.save("my_testset.jsonl") ``` You can easily load it back ```python from giskard.rag import QATestset loaded_testset = QATestset.load("my_testset.jsonl") Convert it to a pandas dataframe df = loaded_testset.to_pandas() ``` Here’s an example of a generated question: | question | reference_context | reference_answer | metadata | |----------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------|-------------------------------------------------------| | For which countries can I track my shipping? | Document 1: We offer free shipping on all orders over $50. For orders below $50, we charge a flat rate of $5.99. We offer shipping services to customers residing in all 50 states of the US, in addition to providing delivery options to Canada and Mexico. Document 2: Once your purchase has been successfully confirmed and shipped, you will receive a confirmation email containing your tracking number. You can simply click on the link provided in the email or visit our website’s order tracking page. | We ship to all 50 states in the US, as well as to Canada and Mexico. We offer tracking for all our shippings. | {"question_type": "simple", "seed_document_id": 1, "topic": "Shipping policy"} | Each row of the test set contains 5 columns: question : the generated question reference_context : the context that can be used to answer the question reference_answer : the answer to the question (generated with GPT-4) conversation_history : not shown in the table above, contain the history of the conversation with the agent as a list, only relevant for conversational question, otherwise it contains an empty list. metadata : a dictionary with various metadata about the question, this includes the question_type, seed_document_id the id of the document used to generate the question and the topic of the question 👋 Community We welcome contributions from the AI community! Read this guide to get started, and join our thriving community on Discord . 🌟 Leave us a star , it helps the project to get discovered by others and keeps us motivated to build awesome open-source tools! 🌟 ❤️ If you find our work useful, please consider sponsoring us on GitHub. With a monthly sponsoring, you can get a sponsor badge, display your company in this readme, and get your bug reports prioritized. We also offer one-time sponsoring if you want us to get involved in a consulting project, run a workshop, or give a talk at your company.

🐢 Open-Source Evaluation & Testing for LLMs and ML models

mlops,ml-validation,ml-testing,ai-testing,ai-safety,ml-safety,llmops,ethical-artificial-intelligence,responsible-ai,fairness-ai

VonHeikemen/lsp-zero.nvim

LSP Zero Collection of functions that will help you setup Neovim's LSP client, so you can get IDE-like features with minimum effort. Out of the box it will help you integrate nvim-cmp (an autocompletion plugin) and nvim-lspconfig (a collection of configurations for various language servers). So a minimal config can look like this. lua require('lsp-zero') require('lspconfig').intelephense.setup({}) With this code when intelephense (a language server for PHP) is active you'll get all the features Neovim offers by default plus autocompletion. See demo in asciinema . How to get started If you are new to Neovim and you don't have a configuration file ( init.lua ) follow this step by step tutorial . If you know how to configure Neovim go to the Getting started page in the documentation. Also consider nvim-lspconfig works fine without lsp-zero. And you can setup nvim-cmp by yourself. I wrote a blog post that shows how to do it: You might not need lsp-zero . Documentation You can browse the documentation at lsp-zero.netlify.app/v3.x Installation and basic usage LSP configuration Autocompletion Frequent Questions Expand: More Documentation Links * Integrations * [Integrate with mason.nvim](https://lsp-zero.netlify.app/v3.x/guide/integrate-with-mason-nvim.html) * [Enable folds with nvim-ufo](https://lsp-zero.netlify.app/v3.x/guide/quick-recipes.html#enable-folds-with-nvim-ufo) * [Setup copilot.lua + nvim-cmp](https://lsp-zero.netlify.app/v3.x/guide/setup-copilot-lua-plus-nvim-cmp.html) * [Setup with nvim-jdtls](https://lsp-zero.netlify.app/v3.x/guide/setup-with-nvim-jdtls.html) * [Setup lsp-inlayhints.nvim](https://lsp-zero.netlify.app/v3.x/guide/quick-recipes.html#enable-inlay-hints-with-lsp-inlayhints-nvim) * [Setup with nvim-navic](https://lsp-zero.netlify.app/v3.x/guide/quick-recipes.html#setup-with-nvim-navic) * [Setup with rustaceanvim](https://lsp-zero.netlify.app/v3.x/guide/quick-recipes.html#setup-with-rustaceanvim) * [Setup with flutter-tools](https://lsp-zero.netlify.app/v3.x/guide/quick-recipes.html#setup-with-flutter-tools) * [Setup with nvim-metals](https://lsp-zero.netlify.app/v3.x/guide/quick-recipes.html#setup-with-nvim-metals) * [Setup with haskell-tools](https://lsp-zero.netlify.app/v3.x/guide/quick-recipes.html#setup-with-haskell-tools) * Guides * [What to do when the language server doesn't start?](https://lsp-zero.netlify.app/v3.x/guide/what-to-do-when-lsp-doesnt-start.html) * [Lazy loading with lazy.nvim](https://lsp-zero.netlify.app/v3.x/guide/lazy-loading-with-lazy-nvim.html) * [lua_ls for Neovim](https://lsp-zero.netlify.app/v3.x/guide/neovim-lua-ls.html) * [Configure Volar 2.0 (with typescript support)](https://lsp-zero.netlify.app/v3.x/guide/configure-volar-v2.html) * [Migrate from v2.x to v3.x](https://lsp-zero.netlify.app/v3.x/guide/migrate-from-v2-branch.html) * [Migrate from v1.x to v3.x](https://lsp-zero.netlify.app/v3.x/guide/migrate-from-v1-branch.html) * API * [Commands](https://lsp-zero.netlify.app/v3.x/reference/commands.html) * [Variables](https://lsp-zero.netlify.app/v3.x/reference/variables.html) * [Lua API](https://lsp-zero.netlify.app/v3.x/guide/what-to-do-when-lsp-doesnt-start.html) * Blog posts * [You might not need lsp-zero](https://lsp-zero.netlify.app/v3.x/blog/you-might-not-need-lsp-zero.html) * [lsp-zero under the hood](https://lsp-zero.netlify.app/v3.x/blog/under-the-hood.html) * [require lsp-zero](https://lsp-zero.netlify.app/v3.x/blog/what-require-lsp-zero-does.html) * [ThePrimeagen 0 to LSP config](https://lsp-zero.netlify.app/v3.x/blog/theprimeagens-config-from-2022.html) If you need any help Feel free to open a new discussion in this repository. Or join the chat #lsp-zero-nvim:matrix.org . If you have problems with a language server read this guide: What to do when the language server doesn't start? If you want to migrate from a previous version to the v3.x branch, follow one of these guides: Migrate from v2.x to v3.x Migrate from v1.x to v3.x When asking for help for a specific language One thing you should know when asking for help online: asking the question "how to configure [random language] with lsp-zero?" is not going to give you the results you want. You probably want to ask "how to configure the language server for [random language] using nvim-lspconfig ?" That will give you better results because nvim-lspconfig is the plugin that configures the language servers. Quickstart (for the impatient) If you are not that impatient, I recommend reading the Getting started page. But for those of you that just want to copy/paste, here are some templates you can use. Lua template configuration Vimscript template configuration ThePrimeagen's "0 to LSP" config updated Support If you find this tool useful and want to support my efforts, buy me a coffee ☕ .

A starting point to setup some lsp related features in neovim.

neovim,nvim,lsp,language-server-protocol

Librum-Reader/Librum

Librum Librum is an application designed to make reading enjoyable and straightforward for everyone. It's not just an e-book reader. With Librum, you can manage your own online library and access it from any device anytime, anywhere. It has features like note-taking, AI tooling, and highlighting, while offering customization to make it as personal as you want! Librum also provides free access to over 70,000 books and personal reading statistics while being free and completely open source. Join us on Discord Preview Setup and manage your own online library A simple and modern interface Add your books to collections, tag them, and sort them in any way you want Customize Librum to make it personal to you Where can I get Librum? Simply go to https://librumreader.com to download Librum. If you want to build Librum from source, follow the instructions here . Contact For questions, you can reach us under: help@librumreader.com For business related contact, reach out to us here: contact@librumreader.com Donations Donations make it possible for us to cover our server costs and allow us to make investments into new areas of development. If you would like to support us, check out: https://librumreader.com/contribute/donate or become a Github sponsor! As a team of opensource developers we rely on donations to continue working on projects like Librum. Your help is greatly appreciated. Translations Librum is currently available in: - English - German - Russian - Ukrainian - Indonesian - Italian - Korean - Portuguese - Mandarin If you want to translate Librum to another language, follow the steps below: - Download this file - Rename the file to contain your language's suffix, e.g. "librum_ru.ts" for Russian or "librum_de.ts" for German - Download the translation software (Qt Linguist) either for Windows from here or using the Qt Installer - Now start Qt Linguist, open the downloaded file, set the target language to the language you want to translate to and start translating. (Check out this guide for a quick overview of Qt Linguist) Once you are done, create a pull request or open up an issue with your new translation file! If you run into any problems, need guidance or have questions, feel free to reach out to us at: contact@librumreader.com Notes: - Make sure that your translations are approximately the same length as the original text - Please carefully check for spelling mistakes (including punctuation and capitalization) Documentation For documentation go to Librum's GitHub-wiki Contributing If you'd like to contribute, check out: https://librumreader.com/contribute If you are interested in contributing, feel free to contact us on either: 1. Discord (m_david#0631) 2. Email (contact@librumreader.com) We are following a pull request workflow where every contribution is sent as a pull request and merged into the dev/develop branch for testing. Please make sure to run clang format, keep to the conventions used throughout the application and ensure that all tests pass, before submitting any pull request. Self-hosting To self-host Librum you need to run Librum-Server locally (instructions can be found here ) and tell the client to use your self-hosted server by: - (Linux) Editing ~/.config/Librum-Reader/Librum.conf and setting selfHosted=true and serverHost to your server's url (e.g. serverHost=https://127.0.0.1:5001 ) - (Windows) Opening the registry editor (Press Win + R and search for regedit ), navigating to HKEY_CURRENT_USER\Software\Librum-Reader\Librum and setting selfHosted=true and serverHost to your server's url Make sure to run the application before following the steps above, to generate the required files. Details Supported platforms Part of Librum's aim is to work on any platform. No matter where you are or which device you use, you can always continue your book with Librum, as it is cross platform . We support: - Windows - GNU/Linux - MacOS - IOS (Coming Soon) - Android (Coming Soon) Supported formats Librum is the best choice for all kinds of books, since Librum supports all major book formats including: - PDF - EPUB - CBZ (Comic books) - FB2 - TIFF - Mobi - XPS - Images And many more! Features Librum's objective is to make your reading more productive ; to that end, we provide you with a variety of features that you can access via a simple and straightforward interface. These features include: - A modern e-reader - A personalized and customizable online library - Book meta-data editing - A free in-app bookstore with more than 70,000 books - Book syncing across all of your devices - Highlighting - Bookmarking - Text search - Unlimited customization - Fine-grained organization through Librum's folder system - Note-taking (Coming Soon) - TTS (Coming Soon) - Personalized reading statistics (Coming Soon) Want a new feature? Feel free to leave a feature request ticket! Build Guide Follow this guide to build Librum from source. For GNU/Linux Prerequisites cmake (https://cmake.org/download) make (http://ftp.gnu.org/gnu/make) g++ (https://gcc.gnu.org) python3-venv (on ubuntu use sudo apt install python3-venv ) Qt 6.5 (https://www.qt.io/download-open-source) Installation The installation is straight forward, just follow the steps below: Clone the repository. sh git clone https://github.com/Librum-Reader/Librum.git --recursive Step into the cloned project folder. sh cd Librum Create the build folder and step into it. sh mkdir build-Release cd build-Release Run cmake. sh cmake -DCMAKE_INSTALL_PREFIX=/usr -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTS=Off -DCMAKE_PREFIX_PATH=<path/to/Qt> .. Set CMAKE_PREFIX_PATH to your Qt installation path. Installing Qt via the online installer usually installs it to /home/<name>/Qt/<version>/gcc_64 Build the project sh cmake --build . -j $(nproc) Install Librum sh cmake --install . Troubleshooting Here are solutions to some common errors. If your error is not listed here, please open an issue. Error: Failed to find required Qt component "Quick". Solution: Install the libGL mesa dev package, on ubuntu its sudo apt install libgl1-mesa-dev and on fedora its sudo dnf install mesa-libGL-devel . Error: Could not load the qt platform plugin "xcb" even though it was found Solution: Install the libxcb-cursor-dev, on ubuntu its sudo apt install libxcb-cursor-dev For Windows Prerequisites cmake (https://cmake.org/download) Visual Studio 19 (https://visualstudio.microsoft.com/de/vs/older-downloads) Python (https://www.python.org/downloads) Qt 6.5 (https://www.qt.io/download-open-source) Installation To build Librum on windows, run the following commands in the Powershell: Clone the repository. sh git clone https://github.com/Librum-Reader/Librum.git --recursive Step into the cloned project folder. sh cd Librum Create the build folder and step into it. sh mkdir build cd build Run cmake. sh cmake -DBUILD_TESTS=Off -DCMAKE_PREFIX_PATH=<path/to/qt> .. Set CMAKE_PREFIX_PATH to your Qt installation path. Installing Qt via the online installer usually installs it to <Drive>\\Qt\\<version>\\msvc2019_64 Build the project sh cmake --build . --config Release Run the app sh ./librum Additional Info Here are some things to keep in mind during the build process. Make sure to add cmake and the Qt binaries to the PATH environment variable You need Visual Studio 2019, newer versions will not work For the Qt installation, you only need to choose "MSVC 2019 64-bit", you can untick everything else to reduce the download size For MacOS Prerequisites cmake (https://cmake.org/download) make (http://ftp.gnu.org/gnu/make) g++ (https://gcc.gnu.org) python3 (https://www.python.org/downloads) Qt 6.5 (https://www.qt.io/download-open-source) Installation The installation is straight forward, just follow the steps below: Clone the repository. sh git clone https://github.com/Librum-Reader/Librum.git --recursive Step into the cloned project folder. sh cd Librum Create the build folder and step into it. sh mkdir build-Release cd build-Release Run cmake. sh cmake -DCMAKE_INSTALL_PREFIX=/usr/local -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTS=Off -DCMAKE_PREFIX_PATH=<path/to/Qt> .. Set CMAKE_PREFIX_PATH to your Qt installation path. Installing Qt via the online installer usually installs it to /Users/<name>/Qt/<version>/macos Build the project sh cmake --build . -j $(nproc) Install Librum sh cmake --install Note: Make sure to add /usr/local/lib to your DYLIB path, for MacOS to find the installed libraries by exporting DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:/usr/local/lib .

The Librum client application

cmake,cpp,qml,qt,ebook-reader,ebooks,library-management,reader,linux,qt6

open-duelyst/duelyst

OpenDuelyst This is the source code for Duelyst, a digital collectible card game and turn-based strategy hybrid developed by Counterplay Games and released in 2016. Running the Game Locally If you'd like to run the game locally or contribute to OpenDuelyst, check out our Documentation , especially the Roadmap and Contributor Guide . You can also join the OpenDuelyst developer Discord server here . This Discord server is focused on the development of OpenDuelyst, and has channels for frontend, backend, and infrastructure discussions, but it is open for anyone to join. Downloading the Desktop Clients Desktop clients for Windows, Mac, and Linux can be downloaded on the Releases page. They can be used against your local environment. Playing on Android or iOS We have basic support for playing on mobile web currently. To hide the status/navigation bar in Chrome or Safari, open the game and select "Add to Home Screen". When you open the game from the home screen, the status bar will be hidden. Filing Issues and Reporting Bugs If you encounter a bug and would like to report it, first check the Open Issues to see if the bug has already been reported. If not, feel free to create a new issue with the bug label. If you would like to request a technical feature or enhancement to the code, you can create a new issue with the enhancement label. Since OpenDuelyst is currently focused on recreating the game as it last existed in v1.96.17, please avoid creating feature requests related to balance changes. Localization The game currently includes English and German localization. If you'd like to contribute translations for another language, take a look at the app/localization/locales directory. You can copy the en folder and start updating strings for the new language, then submit a Pull Request with your contribution. There are about 4,500 localized strings, so this can also be done a little bit at a time. Once the translations are in, we can help get the language included in the game. License OpenDuelyst is licensed under the Creative Commons Zero v1.0 Universal license. You can see a copy of the license here .

Duelyst is a digital collectible card game and turn-based strategy hybrid, developed by Counterplay Games.

[]

sofn-xyz/mailing

packages/cli/README.md

Build, test, send emails with React

[]

alibaba/fastjson2

📖 English Documentation | 📖 中文文档 本项目的Issues会被同步沉淀至 阿里云开发者社区 FASTJSON v2 FASTJSON 2 是一个性能极致并且简单易用的Java JSON库。 FASTJSON 2 是 FASTJSON 项目的重要升级，和FASTJSON 1相比，性能有非常大的提升，解决了autoType功能因为兼容和白名单的安全性问题。 性能极致，性能远超过其他流行JSON库，包括jackson/gson/org.json，性能数据: https://github.com/alibaba/fastjson2/wiki/fastjson_benchmark 支持JDK新特性，包括 JDK 11 / JDK 17 ，针对 compact string 优化，支持Record，支持 GraalVM Native-Image 完善的 JSONPath 支持，支持 SQL:2016 的JSONPath语法 支持 Android 8+ ，客户端和服务器一套API 支持 Kotlin https://alibaba.github.io/fastjson2/kotlin_cn 支持 JSON Schema https://alibaba.github.io/fastjson2/json_schema_cn 新增加支持二进制格式JSONB https://alibaba.github.io/fastjson2/jsonb_format_cn 1. 使用准备 1.1 添加依赖 在 fastjson v2 中， groupId 和 1.x 不一样，是 com.alibaba.fastjson2 ： Maven : xml <dependency> <groupId>com.alibaba.fastjson2</groupId> <artifactId>fastjson2</artifactId> <version>2.0.51</version> </dependency> Gradle : groovy dependencies { implementation 'com.alibaba.fastjson2:fastjson2:2.0.51' } 可以在 maven.org 查看最新可用的版本。 1.2 其他模块 Fastjson v1 兼容模块 如果原来使用 fastjson 1.2.x 版本，可以使用兼容包，兼容包不能保证100%兼容，请仔细测试验证，发现问题请及时反馈。 Maven : xml <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>2.0.51</version> </dependency> Gradle : groovy dependencies { implementation 'com.alibaba:fastjson:2.0.51' } Fastjson Kotlin 集成模块 如果项目使用 Kotlin ，可以使用 fastjson-kotlin 模块，使用方式上采用 kotlin 的特性。 Maven : xml <dependency> <groupId>com.alibaba.fastjson2</groupId> <artifactId>fastjson2-kotlin</artifactId> <version>2.0.51</version> </dependency> 酌情添加标准库(kotlin-stdlib)、反射库(kotlin-reflect)， 其中若使用数据类(data class)、通过构造函数传入参数则添加反射库。 ```xml org.jetbrains.kotlin kotlin-stdlib ${kotlin-version} org.jetbrains.kotlin kotlin-reflect ${kotlin-version} ``` Kotlin Gradle : kotlin dependencies { implementation("com.alibaba.fastjson2:fastjson2-kotlin:2.0.51") } kotlin dependencies { implementation("org.jetbrains.kotlin:kotlin-stdlib:$kotlin_version") implementation("org.jetbrains.kotlin:kotlin-reflect:$kotlin_version") } Fastjson Extension 扩展模块 如果项目使用 SpringFramework 等框架，可以使用 fastjson-extension 模块，使用方式参考 SpringFramework Support 。 Maven : xml <dependency> <groupId>com.alibaba.fastjson2</groupId> <artifactId>fastjson2-extension-spring5</artifactId> <version>2.0.51</version> </dependency> xml <dependency> <groupId>com.alibaba.fastjson2</groupId> <artifactId>fastjson2-extension-spring6</artifactId> <version>2.0.51</version> </dependency> Gradle : groovy dependencies { implementation 'com.alibaba.fastjson2:fastjson2-extension-spring5:2.0.51' } groovy dependencies { implementation 'com.alibaba.fastjson2:fastjson2-extension-spring6:2.0.51' } 2. 简单使用 在 fastjson v2 中， package 和 1.x 不一样，是 com.alibaba.fastjson2 。如果你之前用的是 fastjson1 ，大多数情况直接更包名就即可。 2.1 将 JSON 解析为 JSONObject Java : ```java String text = "..."; JSONObject data = JSON.parseObject(text); byte[] bytes = ...; JSONObject data = JSON.parseObject(bytes); ``` Kotlin : ```kotlin import com.alibaba.fastjson2.* val text = ... // String val data = text.parseObject() val bytes = ... // ByteArray val data = bytes.parseObject() // JSONObject ``` 2.2 将 JSON 解析为 JSONArray Java : java String text = "..."; JSONArray data = JSON.parseArray(text); Kotlin : ```kotlin import com.alibaba.fastjson2.* val text = ... // String val data = text.parseArray() // JSONArray ``` 2.3 将 JSON 解析为 Java 对象 Java : java String text = "..."; User data = JSON.parseObject(text, User.class); Kotlin : ```kotlin import com.alibaba.fastjson2.* val text = ... // String val data = text.to () // User val data = text.parseObject () // User ``` 2.4 将 Java 对象序列化为 JSON Java : java Object data = "..."; String text = JSON.toJSONString(data); byte[] text = JSON.toJSONBytes(data); Kotlin : ```kotlin import com.alibaba.fastjson2.* val data = ... // Any val text = text.toJSONString() // String val bytes = text.toJSONByteArray() // ByteArray ``` 2.5 使用 JSONObject 、 JSONArray 2.5.1 获取简单属性 ```java String text = "{\"id\": 2,\"name\": \"fastjson2\"}"; JSONObject obj = JSON.parseObject(text); int id = obj.getIntValue("id"); String name = obj.getString("name"); ``` ```java String text = "[2, \"fastjson2\"]"; JSONArray array = JSON.parseArray(text); int id = array.getIntValue(0); String name = array.getString(1); ``` 2.5.2 读取 JavaBean Java : ```java JSONArray array = ... JSONObject obj = ... User user = array.getObject(0, User.class); User user = obj.getObject("key", User.class); ``` Kotlin : ```kotlin val array = ... // JSONArray val obj = ... // JSONObject val user = array.to (0) val user = obj.to ("key") ``` 2.5.3 转为 JavaBean Java : ```java JSONArray array = ... JSONObject obj = ... User user = obj.toJavaObject(User.class); List users = array.toJavaList(User.class); ``` Kotlin : ```kotlin val array = ... // JSONArray val obj = ... // JSONObject val user = obj.to () // User val users = array.toList () // List ``` 2.6 将 JavaBean 对象序列化为 JSON Java : ```java class User { public int id; public String name; } User user = new User(); user.id = 2; user.name = "FastJson2"; String text = JSON.toJSONString(user); byte[] bytes = JSON.toJSONBytes(user); ``` Kotlin : ```kotlin class User( var id: Int, var name: String ) val user = User() user.id = 2 user.name = "FastJson2" val text = user.toJSONString() // String val bytes = user.toJSONByteArray() // ByteArray ``` 序列化结果: json { "id" : 2, "name" : "FastJson2" } 3. 进阶使用 3.1 使用 JSONB 3.1.1 将 JavaBean 对象序列化 JSONB java User user = ...; byte[] bytes = JSONB.toBytes(user); byte[] bytes = JSONB.toBytes(user, JSONWriter.Feature.BeanToArray); 3.1.2 将 JSONB 数据解析为 JavaBean java byte[] bytes = ... User user = JSONB.parseObject(bytes, User.class); User user = JSONB.parseObject(bytes, User.class, JSONReader.Feature.SupportBeanArrayMapping); 3.2 使用 JSONPath 3.2.1 使用 JSONPath 读取部分数据 ```java String text = ...; JSONPath path = JSONPath.of("$.id"); // 缓存起来重复使用能提升性能 JSONReader parser = JSONReader.of(text); Object result = path.extract(parser); ``` 3.2.2 使用 JSONPath 读取部分 byte[] 的数据 ```java byte[] bytes = ...; JSONPath path = JSONPath.of("$.id"); // 缓存起来重复使用能提升性能 JSONReader parser = JSONReader.of(bytes); Object result = path.extract(parser); ``` 3.2.3 使用 JSONPath 读取部分 byte[] 的数据 ```java byte[] bytes = ...; JSONPath path = JSONPath.of("$.id"); // 缓存起来重复使用能提升性能 JSONReader parser = JSONReader.ofJSONB(bytes); // 注意这里使用ofJSONB方法 Object result = path.extract(parser); ``` Star History

🚄 FASTJSON2 is a Java JSON library with excellent performance.

json,fastjson,json-parser,jsonb,java-json,json-serialization,json-path,high-performance,fastjson2,android

warp-tech/warpgate

Warpgate is a smart SSH, HTTPS and MySQL bastion host for Linux that doesn't need special client apps. Set it up in your DMZ, add user accounts and easily assign them to specific hosts and URLs within the network. Warpgate will record every session for you to view (live) and replay later through a built-in admin web UI. Not a jump host - forwards your connections straight to the target instead. Native 2FA and SSO support (TOTP & OpenID Connect) Single binary with no dependencies. Written in 100% safe Rust. Getting started & downloads See the Getting started wiki page (or Getting started on Docker ). Release / beta binaries Nightly builds Project Status The project is currently in alpha stage and is gathering community feedback. See the official roadmap for the upcoming features. In particular, we're working on: Requesting admin approvals for sessions Support for tunneling PostgreSQL connections, and much more. How it works Warpgate is a service that you deploy on the bastion/DMZ host, which will accept SSH, HTTPS and MySQL connections and provide an (optional) web admin UI. Run warpgate setup to interactively generate a config file, including port bindings. See Getting started for details. It receives connections with specifically formatted credentials, authenticates the user locally, connects to the target itself, and then connects both parties together while (optionally) recording the session. When connecting through HTTPS, Warpgate presents a selection of available targets, and will then proxy all traffic in a session to the selected target. You can switch between targets at any time. You manage the target and user lists and assign them to each other through the admin UI, and the session history is stored in an SQLite database (default: in /var/lib/warpgate ). You can also use the admin web interface to view the live session list, review session recordings, logs and more. Contributing / building from source You'll need Rust, NodeJS and Yarn Clone the repo Just is used to run tasks - install it: cargo install just Install the admin UI deps: just yarn Build the frontend: just yarn build Build Warpgate: cargo build (optionally --release ) The binary is in target/{debug|release} . Tech stack Rust 🦀 HTTP: poem-web Database: SQLite via sea-orm + sqlx SSH: russh Typescript Svelte Bootstrap Backend API Warpgate admin and user facing APIs use autogenerated OpenAPI schemas and SDKs. To update the SDKs after changing the query/response structures, run just openapi-all . Contributors ✨ Thanks goes to these wonderful people ( emoji key ): Eugeny 💻 Spencer Heywood 💻 Andreas Piening 💻 Niklas 💻 Nooblord 💻 Shea Smith 💻 This project follows the all-contributors specification. Contributions of any kind welcome!

Smart SSH, HTTPS and MySQL bastion that requires no additional client-side software

bastion,bastion-host,infrastructure,ssh,ssh-server,proxy,rust,https,https-proxy,mysql

ydb-platform/ydb

YDB Website | Documentation | Official Repository | Blog | YouTube | Discord | Telegram | LinkedIn | X YDB is an open source Distributed SQL Database that combines high availability and scalability with strict consistency and ACID transactions. Main YDB Advantages YDB was designed from scratch to respond to the growing demand for scalable interactive web services. Scalability, strict consistency, and effective cross-row transactions were a must for such an OLTP-like workload. YDB was built by people with strong backgrounds in databases and distributed systems who have experience developing a NoSQL database and the MapReduce system for one of the largest search engines in the world. Basic YDB features: Both row-oriented and column-oriented tables for transactional and analytical workloads. Also, persistent queues (topics) for moving data around. Fault-tolerant configuration that survives disk, node, rack, or even datacenter outages. Automatic disaster recovery with minimum latency disruptions for applications. Independent horizontal scalability of storage and compute layers. ACID transactions across multiple nodes and tables with strict consistency. Rich SQL dialect (YQL) for data manipulation and schema definition. PostgreSQL-compatible mode for table operations and Kafka-compatible mode for topics. YDB clusters can be deployed with Ansible , Kubernetes , or manually . Fault-tolerant Configurations YDB can be deployed in three availability zones (datacenters). A cluster remains available for both reads and writes during a complete outage of a single zone. Availability zones and regions are covered in more detail in documentation . Horizontal Scalability Unlike traditional relational databases, YDB scales out , providing developers with the capability to simply extend clusters with computation or storage resources to handle increasing load. YDB has disaggregated storage and compute layers, which allow you to scale storage and compute resources independently. Current production installations have over 10000 nodes, store petabytes of data, and handle millions of distributed transactions per second. Automatic Disaster Recovery YDB's built-in automatic recovery support allows it to seamlessly survive hardware failures. After unpredictable disk, node, rack, or even datacenter failure, YDB remains fully available for reads and writes and automatically restores required data redundancy. Multitenant and Serverless Database YDB supports multitenant and serverless setups. A user can run a YDB cluster and create several databases that share one pool of storage and have different compute nodes. Alternatively, a user can run several serverless databases that share one pool of compute resources to utilize them effectively. Supported Platforms Minimal system requirements YDB runs on x86 64-bit platforms with at least 8 GB of RAM. Operating Systems In most production environments, YDB runs on 64-bit x86 machines working under Ubuntu Linux. For development purposes, it is regularly tested that YDB can be compiled and run under the latest versions of MacOS and Microsoft Windows. Getting Started If you want to experiment with YDB, start with the Quick Start guide . It will yield a single-node cluster suitable for functional testing, app development, and similar tasks. Suppose you want to jump into more serious scenarios like testing YDB fault tolerance, running performance benchmarks, or even running production or preproduction workloads. In that case, you'll need a full-fledged multi-node YDB cluster that can be deployed with either Ansible for bare metal or virtual machines or Kubernetes for containers. How to Build from Source Code Instructions on how to build YDB server (ydbd) and client (ydb) binaries are provided in BUILD.md . Also, see documentation on Ya Make build system . How to Contribute We are glad to welcome new contributors! The contributor's guide provides more details on how to get started as a contributor. There's also a separate section of YDB documentation for contributors , mostly with more technical content. Success Stories Visit YDB website for the latest success stories and user scenarios.

YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions

database,distributed,sql,dbms,cloud-native,cpp,distributed-database,distributed-sql,distributed-sql-database

hemansnation/God-Level-AI

god level AI A collection of scientific methods, processes, algorithms, and systems to build stories & models. An in-depth learning resource for humans. Build Your Strong Machine Learning Gen AI MLOps Portfolio/Personal Brand🚀 The‌ ‌Roadmap‌ Duration:‌ ‌(11 ‌Months)‌ ‌and many more hours for practice and project building. Phase 1 Python‌ ‌Programming‌ ‌and‌ ‌Logic‌ ‌Building‌ Data‌ ‌Structure‌ ‌&‌ ‌Algorithms‌ Git & GitHub Phase 2 It contains 7 Modules Mathematics of Machine Learning‌ Machine‌ ‌Learning‌ Concepts Data Processing X Machine Learning Models Natural‌ ‌Language‌ ‌Processing‌ Computer‌ ‌Vision‌‌ GenerativeAI ML Operations ML System Design ML Interview and Projects Phase 3 Data‌ ‌Visualization‌ ‌with‌ ‌Tableau‌ Structure‌d ‌Query‌ ‌Language‌ ‌(SQL)‌ Data Engineering Data System Design Five‌ ‌Major‌ Capstone ‌Projects‌ Interview Preparations Personal Branding and portfolio Resources Dataset Collection Technology‌ ‌Stack‌ Python‌ Data‌ ‌Structures‌ NumPy‌ Pandas‌ Matplotlib‌ Seaborn‌ Scikit-Learn‌ Statsmodels‌ Natural‌ ‌Language‌ ‌Toolkit‌ ‌(‌ ‌NLTK‌ ‌)‌ PyTorch‌ OpenCV‌ Tableau‌ Structure‌ ‌Query‌ ‌Language‌ ‌(‌ ‌SQL‌ ‌)‌ PySpark‌ Azure‌ ‌Fundamentals‌ Azure‌ ‌Data‌ ‌Factory‌ Databricks‌ 5‌ ‌Major‌ ‌Projects‌ Git‌ ‌and‌ ‌GitHub‌ ‌ 1 | Python Programming and Logic Building I will prefer Python Programming Language. Python is the best for starting your programming journey. Here is the roadmap of python for logic building. Python basics, Variables, Operators, Conditional Statements List and Strings While Loop, Nested Loops, Loop Else For Loop, Break, and Continue statements Functions, Return Statement, Recursion Dictionary, Tuple, Set File Handling, Exception Handling Object-Oriented Programming Modules and Packages In-Depth Roadmap of Python 2 | Data Structure & Algorithms Data Structures Stack Queue Linked List Tree Graph Algorithms List Searching Swapping and Sorting Recursion Hashing Strings Dynamic Programming Fundamentals 3 | Git and GitHub Part 1 - YouTube Tutorial Part 1 Understanding Git Commands and How to commit your first code? How to use GitHub? How to work with a team? How to make your first open-source contribution? Part 2 - YouTube Tutorial Part 2 How to create your stunning GitHub profile? How to build your own viral repository? Building a personal landing page for your Portfolio for FREE How to grow followers on GitHub? How to work with a team? - issues, milestones, and projects Git Notes and Resources on Notion Python supports n-dimensional arrays with Numpy. For data in 2-dimensions, Pandas is the best library for analysis. You can use other tools but tools have drag-and-drop features and have limitations. Pandas can be customized as per the need as we can code depending upon the real-life problem. Numpy Vectors, Matrix Operations on Matrix Mean, Variance, and Standard Deviation Reshaping Arrays Transpose and Determinant of Matrix Diagonal Operations, Trace Add, Subtract, Multiply, Dot, and Cross Product. Pandas Series and DataFrames Slicing, Rows, and Columns Operations on DataFrame Different ways to create DataFrame Read, Write Operations with CSV files Handling Missing values, replace values, and Regular Expression GroupBy and Concatenation Matplotlib Graph Basics Format Strings in Plots Label Parameters, Legend Bar Chart, Pie Chart, Histogram, Scatter Plot 4 | Statistics Descriptive Statistics Measure of Frequency and Central Tendency Measure of Dispersion Probability Distribution Gaussian Normal Distribution Skewness and Kurtosis Regression Analysis Continuous and Discrete Functions Goodness of Fit Normality Test ANOVA Homoscedasticity Linear and Non-Linear Relationship with Regression Inferential Statistics t-Test z-Test Hypothesis Testing Type I and Type II errors t-Test and its types One way ANOVA Two way ANOVA Chi-Square Test Implementation of continuous and categorical data 5 | Machine Learning The best way to master machine learning algorithms is to work with the Scikit-Learn framework. Scikit-Learn contains predefined algorithms and you can work with them just by generating the object of the class. These are the algorithm you must know including the types of Supervised and Unsupervised Machine Learning: Linear Regression Logistic Regression Decision Tree Gradient Descent Random Forest Ridge and Lasso Regression Naive Bayes Support Vector Machine KMeans Clustering Other Concepts and Topics for ML Measuring Accuracy Bias-Variance Trade-off Applying Regularization Elastic Net Regression Predictive Analytics Exploratory Data Analysis 6 | MLOps You can master any one of the cloud services provider from AWS, GCP and Azure. You can switch easily once you understand one of them. We will focus on AWS - Amazon Web Services first Deploy ML models using Flask Amazon Lex - Natural Language Understanding AWS Polly - Voice Analysis Amazon Transcribe - Speech to Text Amazon Textract - Extract Text Amazon Rekognition - Image Applications Amazon SageMaker - Building and deploying models Working with Deep Learning on AWS 7 | Natural Language Processing If you are interested in working with Text, you should do some of the work an NLP Engineer do and understand the working of Language models. Sentiment analysis POS Tagging, Parsing, Text preprocessing Stemming and Lemmatization Sentiment classification using Naive Bayes TF-IDF, N-gram, Machine Translation, BLEU Score Text Generation, Summarization, ROUGE Score Language Modeling, Perplexity Building a text classifier Identifying the gender 8 | Computer Vision To work on image and video analytics we can master computer vision. To work on computer vision we have to understand images. PyTorch Tensors Understanding Pretrained models like AlexNet, ImageNet, ResNet. Neural Networks Building a perceptron Building a single layer neural network Building a deep neural network Recurrent neural network for sequential data analysis Convolutional Neural Networks Understanding the ConvNet topology Convolution layers Pooling layers Image Content Analysis Operating on images using OpenCV-Python Detecting edges Histogram equalization Detecting corners Detecting SIFT feature points 9 | Data Visualization with Tableau How to use it Visual Perception What is it, How it works, Why Tableau Connecting to Data Building charts Calculations Dashboards Sharing our work Advanced Charts, Calculated Fields, Calculated Aggregations Conditional Calculation, Parameterized Calculation 10 | Structured Query Language (SQL) Fundamental to SQL syntax and Installation Creating Tables, Modifiers Inserting and Retrieving Data, SELECT INSERT UPDATE DELETE Aggregating Data using Functions, Filtering and RegEX Subqueries, retrieve data based on conditions, grouping of Data. Practice Questions JOINs Advanced SQL concepts such as transactions, views, stored procedures, and functions. Database Design principles, normalization, and ER diagrams. Practice, Practice, Practice: Practice writing SQL queries on real-world datasets, and work on projects to apply your knowledge. 11 | Data Engineering BigData What is BigData? How is BigData applied within Business? PySpark Resilient Distributed Datasets Schema Lambda Expressions Transformations Actions Data Modeling Duplicate Data Descriptive Analysis on Data Visualizations ML lib ML Packages Pipelines Streaming Packaging Spark Applications 12 | Data System Design What is system design? IP and OSI Model Domain Name System (DNS) Load Balancing Clustering Caching Availability, Scalability, Storage Databases and DBMS SQL databases NoSQL databases SQL vs NoSQL databases Database Replication Indexes Normalization and Denormalization CAP theorem System Design Interview URL Shortener Whatsapp, Twitter, Netflix, Uber 13 | Five Major Projects and Git We follow project-based learning and we will work on all the projects in parallel. 14 | Interview Preperation 16 | Personal Profile & Portfolio Resources Datasets 1️⃣ Awesome Public Datasets This list of a topic-centric public data sources in high quality. 2️⃣ NLP Datasets Alphabetical list of free/public domain datasets with text data for use in NLP. 3️⃣ Awesome Dataset Tools A curated list of awesome dataset tools. 4️⃣ Awesome time series database A curated list of time series databases. 5️⃣ Awesome-Cybersecurity-Datasets A curated list of amazingly awesome Cybersecurity datasets. 6️⃣ Awesome Robotics Datasets Robotics Dataset Collections. Research Starting Point Machine Learning Introduction to Statistical Learning Deep Learning Reinforcement Learning Projects Here is the list of project ideas Data Science ML Full Stack -> Notion Template Join the WhatsApp Community Group https://chat.whatsapp.com/BSUPbYhzzM1BcJplcTTIxb Socials Join Telegram for Data Science ML AI Resources: https://t.me/+sREuRiFssMo4YWJl Connect with me on these platforms: LinkedIn: https://www.linkedin.com/in/hemansnation/ YouTube: https://www.youtube.com/@Himanshu-Ramchandani Twitter: https://twitter.com/hemansnation GitHub: https://github.com/hemansnation Instagram: https://www.instagram.com/masterdexter.ai/ AI Jobs LinkedIn Group: https://www.linkedin.com/groups/12540639/ Medium Blog: https://medium.com/@hemansnation Notes on Data, Product, and AI - Newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7014799989251956736 Any Query? Email Me Here: connect@himanshuramchandani.co

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

python,datastructures,numpy,pandas,matplotlib,scikit-learn,machine-learning,deep-learning,pytorch,data-science

BewlyBewly/BewlyBewly

BewlyBewly English | 官话 - 简体中文 | 官話 - 正體中文 | 廣東話 BewlyBewly Just make a few small changes to your Bilibili homepage. 👋 Introduction BewlyBewly is a browser extension for BiliBili that aims to enhance the user experience by redesigning the BiliBili UI. The design is inspired by YouTube, Vision OS, and iOS, resulting in a more visually appealing and user-friendly interface. This project uses the vitesse-webext template for development. Without this template, it may not be possible to develop this project. 🔨 Build (Firefox) Please make sure you have Node.js and pnpm installed locally, and it is recommended to use Visual Studio Code for development. To build the extension, run ```bash Install dependencies pnpm install pnpm build-firefox ``` Load the generated extension-firefox/ folder in the browser, The extension will then take effect on www.bilibili.com . Chrome & Edge ⬇️ Installation Online Installation [!Caution] Even in the Edge browser, we strongly recommend you install it in the Chrome web store. In terms of review speed, the Chrome web store is faster than Edge Add-ons. Additionally, the Chrome Web Store version of BewlyBewly will address and fix critical bugs more quickly. Chrome: https://chromewebstore.google.com/detail/bewlybewly/bbbiejemhfihiooipfcjmjmbfdmobobp Edge: https://chromewebstore.google.com/detail/bewlybewly/bbbiejemhfihiooipfcjmjmbfdmobobp Firefox: https://addons.mozilla.org/en-US/firefox/addon/bewlybewly/ To Firefox users [!WARNING] When using the Firefox browser, remember to enable all permissions shown in the picture below for normal use of BewlyBewly Local Installation CI : Automatically build with the latest code Releases : Stable version Edge & Chrome (RECOMMENDED) Ensure you installed extension.zip . Opening the edge://extensions page in the Edge or chrome://extensions page in Chrome, simply drag and drop the downloaded extension.zip file into the browser to complete the installation. Another installation method for Edge & Chrome #### Edge > Ensure you installed [extension.zip](https://github.com/hakadao/BewlyBewly/releases) and decompress this file. 1. Type in `edge://extensions/` in the address bar and press Enter 2. Turn on `Developer mode` then press `Load Unpacked` 3. Load the decompressed extension folder in your browser #### Chrome > > Ensure you installed [extension.zip](https://github.com/hakadao/BewlyBewly/releases) and decompress this file. 1. Type in `chrome://extensions/` in the address bar and press Enter 2. Turn on `Developer mode` then press `Load Unpacked` 3. Load the decompressed extension folder in your browser 🤝 Contribution See CONTRIBUTION.md Contributors ❤️ Credits vitesse-webext - The template used for this project UserScripts/bilibiliHome , bilibili-app-recommend - Reference source for obtaining the access key Bilibili-Evolved - Partial implementation of functionalities bilibili-API-collect

Improve your Bilibili homepage by redesigning it, adding more features, and personalizing it to match your preferences. (English | 简体中文 | 正體中文 | 廣東話)

bilibili,chrome-extension,browser-extension,dark-mode,dark-theme

keploy/keploy

⚡️ API tests faster than unit tests, from user traffic ⚡️ 🌟 The must-have tool for developers in the AI-Gen era 🌟 [](https://join.slack.com/t/keploy/shared_invite/zt-2dno1yetd-Ec3el~tTwHYIHgGI0jPe7A) [](https://www.linkedin.com/company/keploy/) [](https://www.youtube.com/channel/UC6OTg7F4o0WkmNtSoob34lg) [](https://twitter.com/Keployio) Keploy is developer-centric API testing tool that creates tests along with built-in-mocks , faster than unit tests. Keploy not only records API calls, but also records database calls and replays them during testing, making it easy to use, powerful, and extensible . 🐰 Fun fact: Keploy uses itself for testing! Check out our swanky coverage badge: 🚨 Here for Unit Test Generator (ut-gen)? Keploy's new launched world's first unit test generator(ut-gen) implementation of Meta LLM research paper , it understands code semantics and generates meaningful unit tests, aiming to: Automate unit test generation (UTG) : Quickly generate comprehensive unit tests and reduce the redundant manual effort. Improve edge cases : Extend and improve the scope of tests to cover more complex scenarios that are often missed manually. Boost test coverage : As codebase grows, ensuring exhaustive coverage should become feasible. 📜 Follow Unit Test Generator README ! ✅ 📘 Documentation! Become a Keploy pro with Keploy Documentation . 🚀 Quick Installation (API test generator) Integrate Keploy by installing the agent locally. No code-changes required. shell curl --silent -O -L https://keploy.io/install.sh && source install.sh 🎬 Recording Testcases Start your app wit Keploy to convert API calls as Tests and Mocks/Stubs. zsh keploy record -c "CMD_TO_RUN_APP" For example, if you're using a simple Python app the CMD_TO_RUN_APP would resemble to python main.py , for Golang go run main.go , for java java -jar xyz.jar , for node npm start .. zsh keploy record -c "python main.py" 🧪 Running Tests Shut down the databases, redis, kafka or any other services your application uses. Keploy doesn't need those during test. zsh keploy test -c "CMD_TO_RUN_APP" --delay 10 ✅ Test Coverage Integration To integrate with your unit-testing library and see combine test coverage, follow this test-coverage guide . If You Had Fun: Please leave a 🌟 star on this repo! It's free, and you'll bring a smile. 😄 👏 🤔 Questions? Reach out to us. We're here to help! 🌐 Language Support From Go's gopher 🐹 to Python's snake 🐍, we support: 🫰 Keploy Adopters 🧡 So you and your organisation are using Keploy? That’s great. Please add yourselves to this list, and we'll send you goodies! 💖 We are happy and proud to have you all as part of our community! 💖 🎩 How's the Magic Happen? Keploy proxy captures and replays ALL (CRUD operations, including non-idempotent APIs) of your app's network interactions. Take a journey to How Keploy Works? to discover the tricks behind the curtain! Here are Keploy's core features: 🛠 ♻️ Combined Test Coverage: Merge your Keploy Tests with your fave testing libraries(JUnit, go-test, py-test, jest) to see a combined test coverage. 🤖 EBPF Instrumentation: Keploy uses EBPF like a secret sauce to make integration code-less, language-agnostic, and oh-so-lightweight. 🌐 CI/CD Integration: Run tests with mocks anywhere you like—locally on the CLI, in your CI pipeline (Jenkins, Github Actions..) , or even across a Kubernetes cluster. 📽️ Record-Replay Complex Flows: Keploy can record and replay complex, distributed API flows as mocks and stubs. It's like having a time machine for your tests—saving you tons of time! 🎭 Multi-Purpose Mocks: You can also use keploy Mocks, as server Tests! 👨🏻‍💻 Let's Build Together! 👩🏻‍💻 Whether you're a newbie coder or a wizard 🧙‍♀️, your perspective is golden. Take a peek at our: 📜 Contribution Guidelines ❤️ Code of Conduct 🐲 Current Limitations! Unit Testing: While Keploy is designed to run alongside unit testing frameworks (Go test, JUnit..) and can add to the overall code coverage, it still generates integration tests. Production Lands : Keploy is currently focused on generating tests for developers. These tests can be captured from any environment, but we have not tested it on high volume production environments. This would need robust deduplication to avoid too many redundant tests being captured. We do have ideas on building a robust deduplication system #27 ✨ Resources! 🤔 FAQs 🕵️‍️ Why Keploy ⚙️ Installation Guide 📖 Contribution Guide

Test generation for Developers. Generate tests and stubs for your application that actually work!

testing,test-automation,golang,productivity,api,api-testing,unit-testing,unit-testing-framework,go,testing-tools

NVIDIA/warp

NVIDIA Warp Warp is a Python framework for writing high-performance simulation and graphics code. Warp takes regular Python functions and JIT compiles them to efficient kernel code that can run on the CPU or GPU. Warp is designed for spatial computing and comes with a rich set of primitives that make it easy to write programs for physics simulation, perception, robotics, and geometry processing. In addition, Warp kernels are differentiable and can be used as part of machine-learning pipelines with frameworks such as PyTorch and JAX. Please refer to the project Documentation for API and language reference and CHANGELOG.md for release history. A selection of physical simulations computed with Warp Installing Python version 3.9 or newer is recommended. Warp can run on x86-64 and ARMv8 CPUs on Windows, Linux, and macOS. GPU support requires a CUDA-capable NVIDIA GPU and driver (minimum GeForce GTX 9xx). The easiest way to install Warp is from PyPI : pip install warp-lang You can also use pip install warp-lang[extras] to install additional dependencies for running examples and USD-related features. The binaries hosted on PyPI are currently built with the CUDA 11.8 runtime. We provide binaries built with the CUDA 12.5 runtime on the GitHub Releases page. Copy the URL of the appropriate wheel file ( warp-lang-{ver}+cu12-py3-none-{platform}.whl ) and pass it to the pip install command, e.g. pip install https://github.com/NVIDIA/warp/releases/download/v1.2.0/warp_lang-1.2.0+cu12-py3-none-manylinux2014_x86_64.whl The --force-reinstall option may need to be used to overwrite a previous installation. Getting Started An example first program that computes the lengths of random 3D vectors is given below: ```python import warp as wp import numpy as np num_points = 1024 @wp.kernel def length(points: wp.array(dtype=wp.vec3), lengths: wp.array(dtype=float)): # thread index tid = wp.tid() # compute distance of each point from origin lengths[tid] = wp.length(points[tid]) allocate an array of 3d points points = wp.array(np.random.rand(num_points, 3), dtype=wp.vec3) lengths = wp.zeros(num_points, dtype=float) launch kernel wp.launch(kernel=length, dim=len(points), inputs=[points, lengths]) print(lengths) ``` Running Examples The warp/examples directory contains a number of scripts categorized under different subdirectories that show how to implement different simulation methods using the Warp API. Most examples will generate USD files containing time-sampled animations (stored in the current working directory). Before running examples, users should ensure that the usd-core , matplotlib , and pyglet packages are installed using: pip install usd-core matplotlib pyglet Examples can be run from the command-line as follows: python -m warp.examples.<example_subdir>.<example> To browse the example source code, you can open the directory where the files are located like this: python -m warp.examples.browse Most examples can be run on either the CPU or a CUDA-capable device, but a handful require a CUDA-capable device. These are marked at the top of the example script. USD files can be viewed or rendered inside NVIDIA Omniverse , Pixar's UsdView, and Blender. Note that Preview in macOS is not recommended as it has limited support for time-sampled animations. Built-in unit tests can be run from the command-line as follows: python -m warp.tests examples/core dem fluid graph capture marching cubes mesh nvdb raycast raymarch sph torch wave examples/fem apic fluid convection diffusion diffusion 3d diffusion mixed elasticity navier stokes stokes transfer stokes examples/optim bounce cloth throw diffray drone inverse kinematics spring cage trajectory walker examples/sim cartpole cloth granular granular collision sdf jacobian ik quadruped rigid chain rigid contact rigid force rigid gyroscopic rigid soft contact soft body Building For developers who want to build the library themselves, the following tools are required: Microsoft Visual Studio 2019 upwards (Windows) GCC 9.4 upwards (Linux) CUDA Toolkit 11.5 or higher Git LFS installed After cloning the repository, users should run: python build_lib.py This will generate the warp.dll / warp.so core library respectively. It will search for the CUDA Toolkit in the default install directory. This path can be overridden by setting the CUDA_PATH environment variable. Alternatively, the path to the CUDA Toolkit can be passed to the build command as --cuda_path="..." . After building, the Warp package should be installed using: pip install -e . This ensures that subsequent modifications to the library will be reflected in the Python package. Learn More Please see the following resources for additional background on Warp: Product Page GTC 2022 Presentation GTC 2021 Presentation SIGGRAPH Asia 2021 Differentiable Simulation Course GTC 2024 Presentation The underlying technology in Warp has been used in a number of research projects at NVIDIA including the following publications: Accelerated Policy Learning with Parallel Differentiable Simulation - Xu, J., Makoviychuk, V., Narang, Y., Ramos, F., Matusik, W., Garg, A., & Macklin, M. (2022) DiSECt: Differentiable Simulator for Robotic Cutting - Heiden, E., Macklin, M., Narang, Y., Fox, D., Garg, A., & Ramos, F (2021) gradSim: Differentiable Simulation for System Identification and Visuomotor Control - Murthy, J. Krishna, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine et al. (2021) Frequently Asked Questions See the FAQ in the Warp documentation. Support Problems, questions, and feature requests can be opened on GitHub Issues . The Warp team also monitors the #warp channel on the public Omniverse Discord server, come chat to us! Versioning Versions take the format X.Y.Z, similar to Python itself : Increments in X are reserved for major reworks of the project causing disruptive incompatibility (or reaching the 1.0 milestone). Increments in Y are for regular releases with a new set of features. Increments in Z are for bug fixes. In principle there are no new features. Can be omitted if 0 or not relevant. This is similar to Semantic Versioning but less strict around backward compatibility. Like with Python, some breaking changes can be present between minor versions if well documented and gradually introduced. Note that prior to 0.11.0 this schema was not strictly adhered to. License Warp is provided under the NVIDIA Software License, please see LICENSE.md for full license text. Contributing Contributions and pull requests from the community are welcome and are taken under the terms described in the 9. Feedback section of the license . CONTRIBUTING.md provides additional information on how to open a pull request for Warp. Citing If you use Warp in your research please use the following citation: bibtex @misc{warp2022, title= {Warp: A High-performance Python Framework for GPU Simulation and Graphics}, author = {Miles Macklin}, month = {March}, year = {2022}, note= {NVIDIA GPU Technology Conference (GTC)}, howpublished = {\url{https://github.com/nvidia/warp}} }

A Python framework for high performance GPU simulation and graphics

[]

lwthiker/curl-impersonate

curl-impersonate A special build of curl that can impersonate the four major browsers: Chrome, Edge, Safari & Firefox. curl-impersonate is able to perform TLS and HTTP handshakes that are identical to that of a real browser. curl-impersonate can be used either as a command line tool, similar to the regular curl, or as a library that can be integrated instead of the regular libcurl. See Usage below. Why? When you use an HTTP client with a TLS website, it first performs a TLS handshake. The first message of that handshake is called Client Hello. The Client Hello message that most HTTP clients and libraries produce differs drastically from that of a real browser. If the server uses HTTP/2, then in addition to the TLS handshake there is also an HTTP/2 handshake where various settings are exchanged. The settings that most HTTP clients and libraries use differ as well from those of any real browsers. For these reasons, some web services use the TLS and HTTP handshakes to fingerprint which client is accessing them, and then present different content for different clients. These methods are known as TLS fingerprinting and HTTP/2 fingerprinting respectively. Their widespread use has led to the web becoming less open, less private and much more restrictive towards specific web clients With the modified curl in this repository, the TLS and HTTP handshakes look exactly like those of a real browser. How? To make this work, curl was patched significantly to resemble a browser. Specifically, The modifications that were needed to make this work: * Compiling curl with nss, the TLS library that Firefox uses, instead of OpenSSL. For the Chrome version, compiling with BoringSSL, Google's TLS library. * Modifying the way curl configures various TLS extensions and SSL options. * Adding support for new TLS extensions. * Changing the settings that curl uses for its HTTP/2 connections. * Running curl with some non-default flags, for example --ciphers , --curves and some -H headers. The resulting curl looks, from a network perspective, identical to a real browser. Read the full technical description in the blog posts: part a , part b . Supported browsers The following browsers can be impersonated. | Browser | Version | Build | OS | Target name | Wrapper script | | --- | --- | --- | --- | --- | --- | | | 99 | 99.0.4844.51 | Windows 10 | chrome99 | curl_chrome99 | | | 100 | 100.0.4896.75 | Windows 10 | chrome100 | curl_chrome100 | | | 101 | 101.0.4951.67 | Windows 10 | chrome101 | curl_chrome101 | | | 104 | 104.0.5112.81 | Windows 10 | chrome104 | curl_chrome104 | | | 107 | 107.0.5304.107 | Windows 10 | chrome107 | curl_chrome107 | | | 110 | 110.0.5481.177 | Windows 10 | chrome110 | curl_chrome110 | | | 116 | 116.0.5845.180 | Windows 10 | chrome116 | curl_chrome116 | | | 99 | 99.0.4844.73 | Android 12 | chrome99_android | curl_chrome99_android | | | 99 | 99.0.1150.30 | Windows 10 | edge99 | curl_edge99 | | | 101 | 101.0.1210.47 | Windows 10 | edge101 | curl_edge101 | | | 91 ESR | 91.6.0esr | Windows 10 | ff91esr | curl_ff91esr | | | 95 | 95.0.2 | Windows 10 | ff95 | curl_ff95 | | | 98 | 98.0 | Windows 10 | ff98 | curl_ff98 | | | 100 | 100.0 | Windows 10 | ff100 | curl_ff100 | | | 102 | 102.0 | Windows 10 | ff102 | curl_ff102 | | | 109 | 109.0 | Windows 10 | ff109 | curl_ff109 | | | 117 | 117.0.1 | Windows 10 | ff117 | curl_ff117 | | | 15.3 | 16612.4.9.1.8 | MacOS Big Sur | safari15_3 | curl_safari15_3 | | | 15.5 | 17613.2.7.1.8 | MacOS Monterey | safari15_5 | curl_safari15_5 | This list is also available in the browsers.json file. Basic usage For each supported browser there is a wrapper script that launches curl-impersonate with all the needed headers and flags. For example: curl_chrome116 https://www.wikipedia.org You can add command line flags and they will be passed on to curl. However, some flags change curl's TLS signature which may cause it to be detected. Please note that the wrapper scripts use a default set of HTTP headers. If you want to change these headers, you may want to modify the wrapper scripts to fit your own purpose. See Advanced usage for more options, including using libcurl-impersonate as a library. Documentation More documentation is available in the docs/ directory. Installation There are two versions of curl-impersonate for technical reasons. The chrome version is used to impersonate Chrome, Edge and Safari. The firefox version is used to impersonate Firefox. Pre-compiled binaries Pre-compiled binaries for Linux and macOS (Intel) are available at the GitHub releases page. Before you use them you need to install nss (Firefox's TLS library) and CA certificates: * Ubuntu - sudo apt install libnss3 nss-plugin-pem ca-certificates * Red Hat/Fedora/CentOS - yum install nss nss-pem ca-certificates * Archlinux - pacman -S nss ca-certificates * macOS - brew install nss ca-certificates Also ensure you have zlib installed on your system. zlib is almost always present, but on some minimal systems it might be missing. The pre-compiled binaries contain libcurl-impersonate and a statically compiled curl-impersonate for ease of use. The pre-compiled Linux binaries are built for Ubuntu systems. On other distributions if you have errors with certificate verification you may have to tell curl where to find the CA certificates. For example: curl_chrome116 https://www.wikipedia.org --cacert /etc/ssl/certs/ca-bundle.crt Also make sure to read Notes on Dependencies . Building from source See INSTALL.md . Docker images Docker images based on Alpine Linux and Debian with curl-impersonate compiled and ready to use are available on Docker Hub . The images contain the binary and all the wrapper scripts. Use like the following: ```bash Firefox version, Alpine Linux docker pull lwthiker/curl-impersonate:0.6-ff docker run --rm lwthiker/curl-impersonate:0.6-ff curl_ff109 https://www.wikipedia.org Chrome version, Alpine Linux docker pull lwthiker/curl-impersonate:0.6-chrome docker run --rm lwthiker/curl-impersonate:0.6-chrome curl_chrome110 https://www.wikipedia.org ``` Distro packages AUR packages are available to Archlinux users: * Pre-compiled package: curl-impersonate-bin , libcurl-impersonate-bin . * Build from source code: curl-impersonate-chrome , curl-impersonate-firefox . Unofficial Homebrew receipts for Mac (Chrome only) are available here : brew tap shakacode/brew brew install curl-impersonate Advanced usage libcurl-impersonate libcurl-impersonate.so is libcurl compiled with the same changes as the command line curl-impersonate . It has an additional API function: c CURLcode curl_easy_impersonate(struct Curl_easy *data, const char *target, int default_headers); You can call it with the target names, e.g. chrome116 , and it will internally set all the options and headers that are otherwise set by the wrapper scripts. If default_headers is set to 0, the built-in list of HTTP headers will not be set, and the user is expected to provide them instead using the regular CURLOPT_HTTPHEADER libcurl option. Calling the above function sets the following libcurl options: * CURLOPT_HTTP_VERSION * CURLOPT_SSLVERSION , CURLOPT_SSL_CIPHER_LIST , CURLOPT_SSL_EC_CURVES , CURLOPT_SSL_ENABLE_NPN , CURLOPT_SSL_ENABLE_ALPN * CURLOPT_HTTPBASEHEADER , if default_headers is non-zero (this is a non-standard HTTP option created for this project). * CURLOPT_HTTP2_PSEUDO_HEADERS_ORDER , CURLOPT_HTTP2_NO_SERVER_PUSH (non-standard HTTP/2 options created for this project). * CURLOPT_SSL_ENABLE_ALPS , CURLOPT_SSL_SIG_HASH_ALGS , CURLOPT_SSL_CERT_COMPRESSION , CURLOPT_SSL_ENABLE_TICKET (non-standard TLS options created for this project). * CURLOPT_SSL_PERMUTE_EXTENSIONS (non-standard TLS options created for this project). Note that if you call curl_easy_setopt() later with one of the above it will override the options set by curl_easy_impersonate() . Using CURL_IMPERSONATE env var If your application uses libcurl already, you can replace the existing library at runtime with LD_PRELOAD (Linux only). You can then set the CURL_IMPERSONATE env var. For example: bash LD_PRELOAD=/path/to/libcurl-impersonate.so CURL_IMPERSONATE=chrome116 my_app The CURL_IMPERSONATE env var has two effects: * curl_easy_impersonate() is called automatically for any new curl handle created by curl_easy_init() . * curl_easy_impersonate() is called automatically after any curl_easy_reset() call. This means that all the options needed for impersonation will be automatically set for any curl handle. If you need precise control over the HTTP headers, set CURL_IMPERSONATE_HEADERS=no to disable the built-in list of HTTP headers, then set them yourself with curl_easy_setopt() . For example: bash LD_PRELOAD=/path/to/libcurl-impersonate.so CURL_IMPERSONATE=chrome116 CURL_IMPERSONATE_HEADERS=no my_app Note that the LD_PRELOAD method will NOT WORK for curl itself because the curl tool overrides the TLS settings. Use the wrapper scripts instead. Notes on dependencies If you intend to copy the self-compiled artifacts to another system, or use the Pre-compiled binaries provided by the project, make sure that all the additional dependencies are met on the target system as well. In particular, see the note about the Firefox version . Contents This repository contains two main folders: * chrome - Scripts and patches for building the Chrome version of curl-impersonate . * firefox - Scripts and patches for building the Firefox version of curl-impersonate . The layout is similar for both. For example, the Firefox directory contains: * Dockerfile - Used to build curl-impersonate with all dependencies. * curl_ff91esr , curl_ff95 , curl_ff98 - Wrapper scripts that launch curl-impersonate with the correct flags. * curl-impersonate.patch - The main patch that makes curl use the same TLS extensions as Firefox. Also makes curl compile statically with libnghttp2 and libnss. Other files of interest: * tests/signatures - YAML database of known browser signatures that can be impersonated. Contributing If you'd like to help, please check out the open issues . You can open a pull request with your changes. This repository contains the build process for curl-impersonate . The actual patches to curl are maintained in a separate repository forked from the upstream curl. The changes are maintained in the impersonate-firefox and impersonate-chrome branches. Sponsors Sponsors help keep this project open and maintained. If you wish to become a sponsor, please contact me directly at: lwt at lwthiker dot com.

curl-impersonate: A special build of curl that can impersonate Chrome & Firefox

https,curl,ssl,tls,security

Threekiii/Awesome-Redteam

Awesome-Redteam 【免责声明】本项目所涉及的技术、思路和工具仅供学习，任何人不得将其用于非法用途和盈利，不得将其用于非授权渗透测试，否则后果自行承担，与本项目无关。使用本项目前请先阅读 法律法规 。 Roadmap 目录 Contents 目录 Contents 项目导航 Project Navigation 速查文档 CheatSheets 一些代码 Scripts 攻防知识 Tips 开源导航 Open-Source Navigation 编解码/加解密 Cryptography 威胁情报 Threat Intelligence 网络空间测绘 Cyberspace Search Engine 开源情报 Open-Source Intelligence 攻防相关 Offensive Security 漏洞相关 Vulnerabilities 社区/知识库 Open-Source Resources 工具集 Open-Source Toolkit 信息收集 Reconnaissance 综合工具 Nice Tools IP/域名/子域名 IP/Domain/Subdomain 指纹识别 Fingerprint 扫描/爆破 Brute Force 扫描/爆破工具 Brute Force Tools 扫描/爆破字典 Brute Force Dictionaries 字典生成 Generate a Custom Dictionary 默认口令查询 Default Credentials 社会工程学 Social Engineering 凭据泄露 Leaked Credentials 邮箱 Email 短信 SMS 钓鱼 Phishing 移动端 Mobile 漏洞研究 Vulnerability Research 漏洞复现 Reproduce PoC Proof of Concept 漏洞利用 Exploits 综合工具 Nice Tools 反序列化 Deserialization 代码审计 Code Audit 数据库 Database 信息泄露 Information Disclosure CMS/OA 中间件/应用层 Middleware/Application 渗透测试 Penertation Testing 综合工具 Nice Tools Web DNSLog Payload and Bypass 内网渗透 Red Teaming 凭证获取 Credential Access 后渗透 Post Exploitation 权限提升 Privilege Escalation 权限维持 Persistence 免杀项目 Defense Evasion 内网穿透 Proxy 辅助工具 Auxiliary Tools 域渗透 Active Directory / Kerberos 开源资源 Resources 域内信息收集 Collection and Discovery 域内已知漏洞 Known Vulnerabilities 域内渗透方式 Methodology ADCS Active Directory Certificate Services 安全防护 Defensive Security 内存马查杀 Memshell Dectect Webshell查杀 Webshell Dectect 攻击研判 Blue Teaming 基线加固 Enforcement 勒索病毒 Ransomware 开源蜜罐 Open-Source Honeypot 云安全 Cloud Security 开源资源 Resources 云安全矩阵 Cloud Matrices AK/SK Docker Kubernetes 移动端安全 Mobile Security 小程序 Mini Program APK SessionKey 逆向工程 Reverse engineering 提高生产力的辅助工具 Shell Chrome Extensions Infrastructure 提高生产力的使用姿势 如何通过.bat使用alias 如何通过.bat激活conda并运行py 如何配合tabby实现高效操作 如何解决cmd中文乱码 项目导航 Project Navigation 速查文档 CheatSheets 戳这里 Click Here DefaultCreds-Cheat-Sheet.csv Huawei-iBMC-DefaultCreds.csv Huawei-Product-Cheat-Sheet.csv WeakPassword-Cheat-Sheet.csv 安全厂商及官网链接速查.txt 一些代码 Scripts 戳这里 Click Here ShellcodeWrapper: Shellcode加密 AntivirusScanner: 杀软进程检测脚本 runtime-exec-payloads.html: java.lang.Runtime.exec() Payloads生成 Ascii2Char: ASCII码和字符互相转换脚本 修改webshell文件名密码 Weakpass_Generator: 在线弱密码生成工具 汉化版 Godzilla_Decryptor: 哥斯拉流量解密 Behinder4_Key_Bruteforce: 冰蝎4密钥爆破 Flask_Session_Decryptor: Flask session注入解密 攻防知识 Tips 戳这里 Click Here 信息收集-敏感信息收集 内网渗透-免杀 内网渗透-隐藏 内网渗透-Pentesting AD Mindmap 安全架构-网络攻击与防御图谱 平台搭建-DNS Log 流量分析-CobaltStrike 流量分析-Webshell 社会工程学-钓鱼邮件主题汇总 逆向分析-微信小程序反编译 开源导航 Open-Source Navigation 编解码/加解密 Cryptography Online: http://www.ip33.com/ https://evilcos.me/lab/xssee/ http://www.metools.info/ https://www.107000.com/ https://github.com/wangyiwy/oktools http://www.hiencode.com/ http://www.atoolbox.net/ https://www.sojson.com/ https://the-x.cn/ Offline: https://github.com/Ciphey/Ciphey https://github.com/gchq/CyberChef http://1o1o.xyz/bo_ctfcode.html https://github.com/guyoung/CaptfEncoder MD5: https://www.cmd5.org/ https://www.somd5.com/ https://www.onlinehashcrack.com/ https://crackstation.net/ https://crack.sh/ https://passwordrecovery.io/ https://md5decrypt.net/en/Sha256/ https://hashes.com/en/decrypt/hash RSA: https://www.ssleye.com/ssltool/ https://www.lddgo.net/en/encrypt/rsa work with .pem Encode/Decode: GB2312: http://code.mcdvisa.com/ Unicode: https://www.compart.com/en/unicode/ UUencode: http://web.chacuo.net/charsetuuencode Escape/Unescape: https://tool.chinaz.com/tools/escape.aspx HTML 实体编码: https://zh.rakko.tools/tools/21/ Regular Expressions: https://regex101.com/ https://github.com/VincentSit/ChinaMobilePhoneNumberRegex https://github.com/any86/any-rule 威胁情报 Threat Intelligence Virustotal: https://www.virustotal.com/ 腾讯哈勃分析系统: https://habo.qq.com/tool/index 微步在线威胁情报: https://x.threatbook.com/ 奇安信威胁情报: https://ti.qianxin.com/ 360 威胁情报: https://ti.360.net/ 网络安全威胁信息共享平台: https://share.anva.org.cn/web/publicity/listPhishing 安恒威胁情报: https://ti.dbappsecurity.com.cn/ 火线安全平台: https://www.huoxian.cn 知道创宇黑客新闻流: https://hackernews.cc/ Hacking8 安全信息流: https://i.hacking8.com/ SecWiki 安全信息流: https://www.sec-wiki.com/ 网络空间测绘 Cyberspace Search Engine Fofa: https://fofa.info/ Shodan: https://www.shodan.io/ ZoomEye: https://www.zoomeye.org/ 鹰图: https://hunter.qianxin.com/ 谛听: https://www.ditecting.com/ Quake: https://quake.360.cn/quake/ Censys: https://search.censys.io/ Netlas: https://app.netlas.io/domains/ Wayback Machine: 网页历史缓存 https://web.archive.org/ VisualPing: 网页变动监测 https://visualping.io/ Dark Web Exposure: https://www.immuniweb.com/darkweb/ SG TCP/IP 端口数据库: https://www.speedguide.net/ports.php Google Hacking Database: https://www.exploit-db.com/google-hacking-database https://github.com/cipher387/Dorks-collections-list https://cxsecurity.com/dorks/ Google Hacking Online: https://dorks.faisalahmed.me/ https://pentest-tools.com/information-gathering/google-hacking http://advangle.com/ https://0iq.me/gip/ Google Hacking Cli: https://github.com/obheda12/GitDorker https://github.com/six2dez/dorks_hunter Github Dork: https://github.com/search/advanced https://github.com/obheda12/GitDorker https://github.com/damit5/gitdorks_go 开源情报 Open-Source Intelligence OSINT Resource List: https://start.me/p/rx6Qj8/nixintel-s-osint-resource-list OSINT Framework: https://osintframework.com/ OSINT Handbook: https://i-intelligence.eu/uploads/public-documents/OSINT_Handbook_2020.pdf Public APIs: https://www.postman.com/explore/ https://rapidapi.com/ Discover secret API keys: https://serene-agnesi-57a014.netlify.app/ Source code Search Engine: https://publicwww.com/ https://searchcode.com/ 攻防相关 Offensive Security Red Teaming and Offensive Security: https://www.ired.team/ https://www.thehacker.recipes/ https://ppn.snovvcrash.rocks/ https://book.hacktricks.xyz/ https://blog.harmj0y.net/ https://hausec.com/domain-penetration-testing/ https://dirkjanm.io/ https://casvancooten.com/ https://evasions.checkpoint.com/ https://redteam.guide/docs/definitions https://github.com/HadessCS/Red-team-Interview-Questions Blue Teaming and Defensive Security: https://github.com/Purp1eW0lf/Blue-Team-Notes OPSEC: https://github.com/WesleyWong420/OPSEC-Tradecraft 漏洞相关 Vulnerabilities 国内信息披露平台: 国家信息安全漏洞库: https://www.cnnvd.org.cn/ 国家互联网应急中心: https://www.cert.org.cn/ 360 网络安全响应中心: https://cert.360.cn/ 知道创宇漏洞库: https://www.seebug.org/ 长亭漏洞库: https://stack.chaitin.com/vuldb/ 阿里云漏洞库: https://avd.aliyun.com/high-risk/list PeiQi 漏洞库: https://peiqi.wgpsec.org/ 国外信息披露平台: https://www.hackerone.com/ https://cve.mitre.org/ https://nvd.nist.gov/ https://www.rapid7.com/db/ https://packetstormsecurity.com/files/tags/exploit https://github.com/trickest/cve Exploits 搜索引擎: https://sploitus.com/ https://www.exploit-db.com/ kali 中可以配合命令 searchsploit <keywords> 使用 社区/知识库 Open-Source Resources 先知社区: https://xz.aliyun.com/ Infocon: https://infocon.org/ ffffffff0x 团队安全知识框架: https://github.com/ffffffff0x/1earn 狼组公开知识库: https://wiki.wgpsec.org/ Mitre ATT&CK: matrices: https://attack.mitre.org/matrices/enterprise techniques: http://attack.mitre.org/techniques/enterprise/ Hacking articles: https://www.hackingarticles.in/ PostSwigger blog: https://portswigger.net/blog InGuardians Labs blog: https://www.inguardians.com/ Pentest Workflow: https://pentest.mxhx.org/ Pentest cheatsheet: https://pentestbook.six2dez.com/ Programming/Toolkit/Command/OS/Shortcuts Cheatsheets: https://cheatsheets.zip/ https://learnxinyminutes.com/ 工具集 Open-Source Toolkit Nice Tools: https://forum.ywhack.com/bountytips.php?tools https://github.com/knownsec/404StarLink https://pentest-tools.com/ Beautifier： http://web.chacuo.net/formatsh https://beautifier.io/ http://jsnice.org/ Reverse Shell Generator: https://www.revshells.com/ https://forum.ywhack.com/reverse-shell/ https://tex2e.github.io/reverse-shell-generator/index.html https://github.com/0dayCTF/reverse-shell-generator File Download Generator: https://github.com/r0eXpeR/File-Download-Generator Shorten URLs: https://a.f8x.io/ 信息收集 Reconnaissance 综合工具 Nice Tools AlliN: https://github.com/P1-Team/AlliN fscan: https://github.com/shadow1ng/fscan TscanPlus: https://github.com/TideSec/TscanPlus kscan: https://github.com/lcvvvv/kscan Kunyu: https://github.com/knownsec/Kunyu OneForAll: https://github.com/shmilylty/OneForAll ShuiZe: https://github.com/0x727/ShuiZe_0x727 FofaX: https://github.com/xiecat/fofax Fofa Viewer: https://github.com/wgpsec/fofa_viewer ENScan_GO: https://github.com/wgpsec/ENScan_GO Amass: https://github.com/owasp-amass/amass IP/域名/子域名 IP/Domain/Subdomain IP 信息收集: https://www.ipuu.net/ https://site.ip138.com/ https://myip.ms/ https://ipwhois.cnnic.net.cn 多个地点 Ping 服务器: https://ping.chinaz.com/ https://www.host-tracker.com/ https://www.webpagetest.org/ https://dnscheck.pingdom.com/ IP 反查域名: https://site.ip138.com/ https://x.threatbook.cn/ https://www.virustotal.com/ Whois 信息收集: https://whois.chinaz.com/ https://whois.aliyun.com/ https://who.is/ https://www.whoxy.com/ DNS 信息收集: https://hackertarget.com/find-dns-host-records https://dnsdumpster.com https://dnsdb.io/zh-cn https://centralops.net/co/ https://viewdns.info/ https://dnsdumpster.com/ https://rapiddns.io/ ASN 信息收集: https://wq.apnic.net/ https://bgp.he.net/ https://bgpview.io/ TLS 证书查询: https://censys.io https://crt.sh 指纹识别 Fingerprint Fingerprint Collection: https://github.com/r0eXpeR/fingerprint Fingerprint Reconnaissance: https://github.com/EASY233/Finger https://github.com/EdgeSecurityTeam/EHole https://github.com/0x727/ObserverWard https://github.com/TideSec/TideFinger_Go https://github.com/zhzyker/dismap https://www.webshell.cc/4697.html http://www.yunsee.cn/ online Waf Checks: https://github.com/stamparm/identYwaf https://github.com/EnableSecurity/wafw00f https://github.com/MISP/misp-warninglists 扫描/爆破 Brute Force 扫描/爆破工具 Brute Force Tools Port: https://github.com/antirez/hping Subdomain: https://github.com/projectdiscovery/subfinder https://github.com/knownsec/ksubdomain Web: https://github.com/pingc0y/URLFinder https://github.com/s0md3v/Arjun https://github.com/OJ/gobuster https://github.com/jaeles-project/gospider https://github.com/xmendez/wfuzz Directory: https://github.com/maurosoria/dirsearch https://github.com/H4ckForJob/dirmap https://github.com/ffuf/ffuf Password: https://github.com/vanhauser-thc/thc-hydra https://github.com/openwall/john https://github.com/hashcat/hashcat https://github.com/galkan/crowbar supports sshkey and openvpn https://github.com/evilsocket/legba/ Json web token (JWT): https://jwt.io/ https://github.com/ticarpi/jwt_tool https://github.com/brendan-rius/c-jwt-cracker https://github.com/wallarm/jwt-secrets/blob/master/jwt.secrets.list 扫描/爆破字典 Brute Force Dictionaries Wordlists for all: https://github.com/danielmiessler/SecLists 46.4k star https://github.com/SexyBeast233/SecDictionary + ffuf https://github.com/insightglacier/Dictionary-Of-Pentesting https://github.com/TheKingOfDuck/fuzzDicts https://github.com/gh0stkey/Web-Fuzzing-Box https://github.com/a3vilc0de/PentesterSpecialDict https://github.com/Bo0oM/fuzz.txt https://github.com/assetnote/wordlists Web fuzz wordlists: https://github.com/lutfumertceylan/top25-parameter Others (not frequently used): https://github.com/danielmiessler/SecLists/tree/master/Discovery/Web-Content https://github.com/assetnote/commonspeak2-wordlists/tree/master/wordswithext https://github.com/random-robbie/bruteforce-lists https://github.com/google/fuzzing/tree/master/dictionaries https://github.com/six2dez/OneListForAll 字典生成 Generate a Custom Dictionary Online: Generate wordlists: https://weakpass.com/generate Generate subdomains and wordlists: https://weakpass.com/generate/domains 汉字转拼音: https://www.aies.cn/pinyin.htm 密码猜解: https://www.hacked.com.cn/pass.html Private Deployment: Generate wordlists(offline): https://github.com/zzzteph/weakpass Generate subdomains and wordlists(offline): https://github.com/zzzteph/probable_subdomains Offline: pydictor: 一个强大实用的黑客暴力破解字典建立工具 https://github.com/LandGrey/pydictor/ crunch: Kali/Linux: https://sourceforge.net/projects/crunch-wordlist Windows: https://github.com/shadwork/Windows-Crunch 默认口令查询 Default Credentials Default Credentials Cheat Sheet: 3468 个默认密码 https://github.com/ihebski/DefaultCreds-cheat-sheet datarecovery: 在线默认口令查询 https://datarecovery.com/rd/default-passwords/ cirt.net: 在线默认口令查询 https://cirt.net/passwords 在线路由器密码查询: https://www.routerpasswords.com/ https://portforward.com/router-password/ https://www.cleancss.com/router-default/ https://www.toolmao.com/baiduapp/routerpwd/ https://datarecovery.com/rd/default-passwords/ 社会工程学 Social Engineering 凭据泄露 Leaked Credentials https://have-ibeenpwned.com/ https://breachdirectory.org/ 邮箱 Email Temporary Email: http://24mail.chacuo.net/ https://www.guerrillamail.com/ https://rootsh.com/ Snov.io: https://app.snov.io Phonebook: also works on subdomains and urls https://phonebook.cz Skymem: https://www.skymem.info Hunter: https://hunter.io email-format: https://www.email-format.com/i/search/ 搜邮箱: https://souyouxiang.com/find-contact/ theHarvester: also works on subdomains https://github.com/laramies/theHarvester Verify emails: https://tools.emailhippo.com/ Accounts registered by email: https://emailrep.io/ 短信 SMS SMS Online: https://www.supercloudsms.com/en/ https://getfreesmsnumber.com/ https://www.zusms.com/ https://yunduanxin.net/ https://www.free-sms-receive.com/ https://receive-sms.cc/#google_vignette https://bestsms.xyz/ https://smscodeonline.com/ 钓鱼 Phishing gophish: 钓鱼邮件 https://github.com/gophish/gophish SpoofWeb: 一键部署 https 钓鱼网站 https://github.com/5icorgi/SpoofWeb 移动端 Mobile 小蓝本: https://www.xiaolanben.com/ 七麦数据: https://www.qimai.cn/ 漏洞研究 Vulnerability Research 漏洞复现 Reproduce Basic: Sqli-labs: https://github.com/Audi-1/sqli-labs Upload-labs: https://github.com/c0ny1/upload-labs Xss-labs: https://github.com/do0dl3/xss-labs DVWA: https://github.com/digininja/DVWA WebGoat: https://github.com/WebGoat/WebGoat Comprehensive: Vulhub: https://vulhub.org/ ichunqiu: https://yunjing.ichunqiu.com/ HackTheBox: https://www.hackthebox.com/ OWASP Top10: https://owasp.org/www-project-juice-shop/ Vulstudy: 17 platform based on docker https://github.com/c0ny1/vulstudy Vulfocus: https://github.com/fofapro/vulfocus IoT: IoT-vulhub: https://github.com/firmianay/IoT-vulhub Cloud: Metarget: https://github.com/Metarget/metarget Attack Defense: https://attackdefense.pentesteracademy.com/listing?labtype=cloud-services&subtype=cloud-services-amazon-s3 AWSGoat: https://github.com/ine-labs/AWSGoat TerraformGoat: https://github.com/HXSecurity/TerraformGoat Kubernetes Goat: https://github.com/madhuakula/kubernetes-goat CloudGoat: https://github.com/RhinoSecurityLabs/cloudgoat Others: FastJsonParty: https://github.com/lemono0/FastJsonParty PoC Proof of Concept Be careful Malware，POC 库最新的 CVE 可能存在投毒风险。 PoC 库: https://github.com/wy876/POC https://github.com/DawnFlame/POChouse https://github.com/coffeehb/Some-PoC-oR-ExP https://github.com/luck-ying/Library-POC https://github.com/Mr-xn/Penetration_Testing_POC https://github.com/nomi-sec/PoC-in-GitHub https://github.com/helloexp/0day PoC 编写: https://poc.xray.cool/ online https://github.com/zeoxisca/gamma-gui offline 漏洞利用 Exploits 综合工具 Nice Tools https://github.com/chaitin/xpoc https://github.com/chaitin/xray https://github.com/zhzyker/vulmap https://github.com/zan8in/afrog https://github.com/ExpLangcn/NucleiTP 反序列化 Deserialization Java: https://github.com/frohoff/ysoserial https://github.com/mbechler/marshalsec https://github.com/qi4L/JYso https://github.com/welk1n/JNDI-Injection-Exploit https://github.com/WhiteHSBG/JNDIExploit https://github.com/rebeyond/JNDInjector https://github.com/A-D-Team/attackRmi php: https://github.com/ambionics/phpggc Mysql jdbc: https://github.com/4ra1n/mysql-fake-server https://github.com/dushixiang/evil-mysql-server https://github.com/fnmsd/MySQL_Fake_Server 代码审计 Code Audit tabby: https://github.com/wh1t3p1g/tabby 数据库 Database Redis GUI Client: https://github.com/cinience/RedisStudio https://github.com/qishibo/AnotherRedisDesktopManager Redis RCE: https://github.com/n0b0dyCN/redis-rogue-server https://github.com/Ridter/redis-rce https://github.com/yuyan-sec/RedisEXP https://github.com/r35tart/RedisWriteFile MDUT: Multiple Database Utilization Tools https://github.com/SafeGroceryStore/MDUT odat: Oracle RCE https://github.com/quentinhardy/odat 信息泄露 Information Disclosure GitHack: .git 泄露利用脚本 https://github.com/lijiejie/GitHack python3 有时无法恢复.git 目录，推荐 python2 版本 GitHack: .git 泄露利用脚本 https://github.com/BugScanTeam/GitHack python2 dvcs-ripper: .svn、.hg、.cvs 泄露利用脚本 https://github.com/kost/dvcs-ripper ds_store_exp: .DS_Store 文件泄漏利用脚本 https://github.com/lijiejie/ds_store_exp Hawkeye: GitHub 泄露监控系统 https://github.com/0xbug/Hawkeye CMS/OA 通达 OA: https://github.com/Fu5r0dah/TongdaScan_go MYExploit: https://github.com/achuna33/MYExploit Apt_t00ls: https://github.com/White-hua/Apt_t00ls OA-EXPTOOL: https://github.com/LittleBear4/OA-EXPTOOL I-Wanna-Get-All: https://github.com/R4gd0ll/I-Wanna-Get-All 中间件/应用层 Middleware/Application Confluence: ConfluenceMemshell: https://github.com/Lotus6/ConfluenceMemshell CVE-2022-26134 Memshell: https://github.com/BeichenDream/CVE-2022-26134-Godzilla-MEMSHELL CVE-2023-22527 Memshell: https://github.com/Boogipop/CVE-2023-22527-Godzilla-MEMSHELL Druid: DruidCrack: Druid 密文解密工具 https://github.com/rabbitmask/DruidCrack druid_sessions: Druid sessions 利用工具 https://github.com/yuyan-sec/druid_sessions Fastjson: fastjson-exp: https://github.com/amaz1ngday/fastjson-exp GitLab: CVE-2021-22205: https://github.com/Al1ex/CVE-2021-22205/ Nacos: NacosRce: Nacos Hessian 反序列化 https://github.com/c0olw/NacosRce/ nacosleak: 获取 nacos 中配置文件信息 https://github.com/a1phaboy/nacosleak nacosScan: jwt 硬编码、api 未授权添加用户、配置读取 https://github.com/Whoopsunix/nacosScan NacosExploitGUI: https://github.com/charonlight/NacosExploitGUI Nps: nps-auth-bypass: nps 认证绕过利用工具 https://github.com/carr0t2/nps-auth-bypass Java: jdwp-shellifier: python2 https://github.com/IOActive/jdwp-shellifier jdwp-shellifier: https://github.com/Lz1y/jdwp-shellifier Shiro: Shiro rememberMe 在线解密: https://vulsee.com/tools/shiroDe/shiroDecrypt.html shiro_attack: https://github.com/j1anFen/shiro_attack shiro_rce_tool: https://github.com/wyzxxz/shiro_rce_tool ShiroExploit: https://github.com/feihong-cs/ShiroExploit-Deprecated ShiroExp: https://github.com/safe6Sec/ShiroExp shiro_key: shiro key 收集 目前 1k+ https://github.com/yanm1e/shiro_key Struts: Struts2VulsTools: https://github.com/shack2/Struts2VulsTools Spring: SpringBoot-Scan: https://github.com/AabyssZG/SpringBoot-Scan Spring_All_Reachable: CVE-2022-22947/CVE-2022-22963 https://github.com/savior-only/Spring_All_Reachable SpringBootVulExploit: https://github.com/LandGrey/SpringBootVulExploit Spring-cloud-function-SpEL-RCE: CVE-2022-22963 https://github.com/mamba-2021/EXP-POC/tree/main/Spring-cloud-function-SpEL-RCE swagger-exp: Swagger REST API 信息泄露利用工具 https://github.com/lijiejie/swagger-exp jasypt decrypt: https://www.devglan.com/online-tools/jasypt-online-encryption-decryption Heapdump: heapdump_tool: heapdump 敏感信息查询工具 https://github.com/wyzxxz/heapdump_tool Memory Analyzer: HeapDump 分析工具 https://eclipse.dev/mat/previousReleases.php JDumpSpider: HeapDump 敏感信息提取工具 https://github.com/whwlsfb/JDumpSpider Tomcat: CVE-2020-1938: https://github.com/YDHCUI/CNVD-2020-10487-Tomcat-Ajp-lfi ClassHound: https://github.com/LandGrey/ClassHound Thinkphp: ThinkphpGUI: https://github.com/Lotus6/ThinkphpGUI thinkphp_gui_tools: https://github.com/bewhale/thinkphp_gui_tools Weblogic: WeblogicTool: https://github.com/KimJun1010/WeblogicTool WeblogicScan: https://github.com/dr0op/WeblogicScan WeblogicScan: https://github.com/rabbitmask/WeblogicScan weblogicScanner: https://github.com/0xn0ne/weblogicScanner weblogic-framework: https://github.com/sv3nbeast/weblogic-framework CVE-2020-14882: https://github.com/zhzyker/exphub/blob/master/weblogic/cve-2020-14882_rce.py WebSocket: wscat: https://github.com/websockets/wscat vCenter: VcenterKiller: 针对 Vcenter 的综合利用工具 https://github.com/Schira4396/VcenterKiller VcenterKit: Vcenter 综合渗透利用工具包 https://github.com/W01fh4cker/VcenterKit Zookeeper: ZooInspector: ZooKeeper 客户端监控软件 https://issues.apache.org/jira/secure/attachment/12436620/ZooInspector.zip apache-zookeeper: zkCli.sh 客户端命令连接 https://archive.apache.org/dist/zookeeper/zookeeper-3.5.6/ 渗透测试 Penertation Testing 综合工具 Nice Tools Yakit: https://github.com/yaklang/yakit Burpsuite: https://portswigger.net/burp Burpsuite Extensions: HaE: 高亮标记与信息提取辅助型插件 https://github.com/gh0stkey/HaE Log4j2Scan: Log4j 主动扫描插件 https://github.com/whwlsfb/Log4j2Scan RouteVulScan: 检测脆弱路径插件 https://github.com/F6JO/RouteVulScan BurpCrypto: 硬编码快乐渗透插件 https://github.com/whwlsfb/BurpCrypto Web XSS: XSS Chop: https://xsschop.chaitin.cn/demo/ XSS/CSRF 编码转换: https://evilcos.me/lab/xssor/ HTML5 Security Cheatsheet: XSS 攻击向量学习/参考 https://html5sec.org/ Local File Inclusion: https://github.com/hansmach1ne/lfimap https://github.com/mzfr/liffy DNSLog Online: http://ceye.io/ http://dnslog.cn/ https://dig.pm/ Alphalog: dns/http/rmi/ldap https://github.com/AlphabugX/Alphalog DNS rebinding: https://lock.cmpxchg8b.com/rebinder.html DNSLog-GO: 自建私有平台 https://github.com/lanyi1998/DNSlog-GO Payload and Bypass Bypass HTTP 40X errors: https://github.com/yunemse48/403bypasser https://github.com/lobuhi/byp4xx https://github.com/Dheerajmadhukar/4-ZERO-3 https://github.com/devploit/nomore403 PayloadsAllTheThings: https://github.com/swisskyrepo/PayloadsAllTheThings java.lang.Runtime.exec() Payload: https://payloads.net/Runtime.exec/ PHP Generic Gadget Chains: PHP 反序列化 Payload https://github.com/ambionics/phpggc PHPFuck: https://github.com/splitline/PHPFuck JSFuck: http://www.jsfuck.com/ JavaScript Deobfuscator and Unpacker: https://lelinhtinh.github.io/de4js/ Gopherus: SSRF 生成 gopher 链接 https://github.com/tarunkant/Gopherus python2 CVE-2021-44228-PoC-log4j-bypass-words: https://github.com/Puliczek/CVE-2021-44228-PoC-log4j-bypass-words 内网渗透 Red Teaming 凭证获取 Credential Access Credential Dumping: LaZagne: https://github.com/AlessandroZ/LaZagne WirelessKeyView: https://www.nirsoft.net/utils/wireless_key.html Windows credential manager: https://www.nirsoft.net/utils/credentials_file_view.html Pillager: https://github.com/qwqdanchun/Pillager/ searchall: https://github.com/Naturehi666/searchall Local Enumeration: HackBrowserData: https://github.com/moonD4rk/HackBrowserData BrowserGhost: https://github.com/QAX-A-Team/BrowserGhost chrome: http://www.nirsoft.net/utils/chromepass.html firefox: https://github.com/unode/firefox_decrypt foxmail: https://securityxploded.com/foxmail-password-decryptor.php mobaxterm: https://github.com/HyperSine/how-does-MobaXterm-encrypt-password navicat: https://github.com/Zhuoyuan1/navicat_password_decrypt navicat: https://github.com/HyperSine/how-does-navicat-encrypt-password sunflower: https://github.com/wafinfo/Sunflower_get_Password securreCRT: https://github.com/depau/shcrt xshell: https://github.com/HyperSine/how-does-Xmanager-encrypt-password version<7.0 https://github.com/RowTeam/SharpDecryptPwd decrypt locally https://github.com/JDArmy/SharpXDecrypt Cracking: NetNTLMv1: https://ntlmv1.com/ online 后渗透 Post Exploitation NICE TOOLS: https://github.com/rapid7/metasploit-framework https://github.com/byt3bl33d3r/CrackMapExec https://github.com/fortra/impacket https://github.com/XiaoliChan/wmiexec-Pro https://docs.microsoft.com/en-us/sysinternals/downloads/pstools https://github.com/GhostPack/Rubeus https://github.com/Kevin-Robertson/Powermad https://github.com/PowerShellMafia/PowerSploit https://github.com/k8gege/Ladon netspy: 快速探测内网可达网段 https://github.com/shmilylty/netspy LOLBAS: Windows 二进制文件库 https://github.com/LOLBAS-Project/LOLBAS GTFOBins: Unix 二进制文件库 https://gtfobins.github.io/ Responder: https://github.com/lgandx/Responder https://github.com/lgandx/Responder-Windows 权限提升 Privilege Escalation Linux Local Enumeration: https://github.com/carlospolop/privilege-escalation-awesome-scripts-suite https://github.com/mostaphabahadou/postenum https://github.com/rebootuser/LinEnum https://github.com/carlospolop/PEASS-ng/releases/latest/download/linpeas.sh https://github.com/DominicBreuker/pspy Windows Local Enumeration: https://github.com/S3cur3Th1sSh1t/WinPwn https://github.com/carlospolop/PEASS-ng/blob/master/winPEAS/winPEASbat/winPEAS.bat https://github.com/S3cur3Th1sSh1t/PowerSharpPack https://github.com/Flangvik/SharpCollection https://github.com/PowerShellMafia/PowerSploit/blob/dev/Recon/PowerView.ps1 https://github.com/dafthack/DomainPasswordSpray https://github.com/dafthack/MailSniper Windows Exploits: https://github.com/AonCyberLabs/Windows-Exploit-Suggester https://github.com/SecWiki/windows-kernel-exploits https://github.com/Al1ex/WindowsElevation https://i.hacking8.com/tiquan/ online https://github.com/BeichenDream/BadPotato/ https://github.com/giuliano108/SeBackupPrivilege https://github.com/gtworek/PSBits/blob/master/Misc/EnableSeBackupPrivilege.ps1 Linux Exploits: https://github.com/The-Z-Labs/linux-exploit-suggester https://github.com/InteliSecureLabs/Linux_Exploit_Suggester Database Exploits: https://github.com/Hel10-Web/Databasetools 权限维持 Persistence Webshell Collection: https://github.com/tennc/webshell https://github.com/novysodope/RMI_Inj_MemShell https://github.com/ce-automne/TomcatMemShell https://github.com/veo/wsMemShell Webshell Management: https://github.com/rebeyond/Behinder https://github.com/BeichenDream/Godzilla https://github.com/shack2/skyscorpion Webshell Bypass: https://github.com/AabyssZG/WebShell-Bypass-Guide http://bypass.tidesec.com/web/ https://github.com/cseroad/Webshell_Generate Reverse Shell Management: https://github.com/WangYihang/Platypus https://github.com/calebstewart/pwncat python 3.9+ 免杀项目 Defense Evasion bypassAV: 免杀 shellcode 加载器 过火绒不过 360 https://github.com/pureqh/bypassAV GolangBypassAV: https://github.com/safe6Sec/GolangBypassAV BypassAntiVirus: 远控免杀系列文章及配套工具 https://github.com/TideSec/BypassAntiVirus AV_Evasion_Tool: 掩日 - 适用于红队的综合免杀工具 https://github.com/1y0n/AV_Evasion_Tool shellcodeloader: Windows 平台的 shellcode 免杀加载器 https://github.com/knownsec/shellcodeloader 杀软比对 1: tasklist/systeminfo https://www.shentoushi.top/av/av.php 杀软比对 2: tasklist /svc && ps -aux https://tasklist.ffffffff0x.com/ 内网穿透 Proxy frp: https://github.com/fatedier/frp frpModify: https://github.com/uknowsec/frpModify Stowaway: https://github.com/ph4ntonn/Stowaway Neo-reGeorg: https://github.com/L-codes/Neo-reGeorg nps: https://github.com/ehang-io/nps reGeorg: https://github.com/sensepost/reGeorg rakshasa: https://github.com/Mob2003/rakshasa Viper: platform with webui https://github.com/FunnyWolf/Viper Proxifier: tools for windows https://www.proxifier.com/ Proxychains: tools for kali https://github.com/haad/proxychains iodine: dns tunnel https://github.com/yarrick/iodine dnscat2: dns tunnel https://github.com/iagox86/dnscat2 DNS-Shell: dns tunnel https://github.com/sensepost/DNS-Shell icmpsh: icmp tunnel https://github.com/bdamele/icmpsh 端口转发 Port Forwarding tcptunnel: https://github.com/vakuum/tcptunnel intranet → dmz → attacker 辅助工具 Auxiliary Tools Cobaltstrike Extensions: Awesome CobaltStrike: CobaltStrike 知识库 https://github.com/zer0yu/Awesome-CobaltStrike Erebus: 后渗透测试插件 https://github.com/DeEpinGh0st/Erebus LSTAR: 综合后渗透插件 https://github.com/lintstar/LSTAR ElevateKit: 提权插件 https://github.com/rsmudge/ElevateKit C2ReverseProxy: 不出网上线 https://github.com/Daybr4ak/C2ReverseProxy pystinger: 不出网上线 https://github.com/FunnyWolf/pystinger OPSEC Tools: Privacy.sexy: Scripts for Windows/macOS/Linux 痕迹清理 https://privacy.sexy/ 域渗透 Active Directory / Kerberos 开源资源 Resources AD attack&defense mindmaps: https://orange-cyberdefense.github.io/ocd-mindmaps/img/pentest_ad_dark_2023_02.svg Game of active directory: https://github.com/Orange-Cyberdefense/GOAD Windows/AD cheatsheet: https://wadcoms.github.io/ 域内信息收集 Collection and Discovery BloodHound: https://github.com/SpecterOps/BloodHound https://github.com/dirkjanm/BloodHound.py https://github.com/BloodHoundAD/SharpHound https://github.com/CompassSecurity/BloodHoundQueries https://github.com/lzzbb/Adinfo https://github.com/wh0amitz/SharpADWS via Active Directory Web Services (ADWS) protocol https://github.com/FalconForceTeam/SOAPHound via Active Directory Web Services (ADWS) protocol https://github.com/shmilylty/SharpHostInfo 域内已知漏洞 Known Vulnerabilities noPac: CVE-2021-42278 / CVE-2021-42287 https://github.com/Ridter/noPac Zerologon CVE-2020-1472: https://github.com/SecuraBV/CVE-2020-1472/blob/master/zerologon_tester.py https://github.com/XiaoliChan/zerologon-Shot https://github.com/dirkjanm/CVE-2020-1472 https://github.com/Potato-py/Potato/tree/03c3551e4770db440b27b0a48fc02b0a38a1cf04/exp/cve/CVE-2020-1472 reset password https://github.com/risksense/zerologon reset password Exchange ProxyLogon & ProxyShell: https://github.com/dirkjanm/privexchange/ https://github.com/Jumbo-WJB/PTH_Exchange https://github.com/hausec/ProxyLogon Printnightmare CVE-2021-34527 / CVE-2021-1675: https://github.com/cube0x0/CVE-2021-1675 https://github.com/nemo-wq/PrintNightmare-CVE-2021-34527 https://github.com/calebstewart/CVE-2021-1675 域内渗透方式 Methodology kerbrute: https://github.com/ropnop/kerbrute DCSync: https://github.com/n00py/DCSync Coerce & NTLM relay: PetitPotam: https://github.com/topotam/PetitPotam PrinterBug: https://github.com/leechristensen/SpoolSample DFSCoerce: https://github.com/Wh04m1001/DFSCoerce ShadowCoerce: https://github.com/ShutdownRepo/ShadowCoerce PrivExchange: https://github.com/dirkjanm/privexchange/ Coercer: https://github.com/p0dalirius/Coercer ADCS Active Directory Certificate Services Active Directory Certificate Services(AD CS) enumeration and abuse: Certify: https://github.com/GhostPack/Certify Certipy: https://github.com/ly4k/Certipy certi: https://github.com/zer1t0/certi PKINITtools: https://github.com/dirkjanm/PKINITtools ADCSPwn: https://github.com/bats3c/ADCSPwn PassTheCert: https://github.com/AlmondOffSec/PassTheCert 安全防护 Defensive Security 内存马查杀 Memshell Dectect Java 内存马查杀: https://github.com/LandGrey/copagent https://github.com/c0ny1/java-memshell-scanner Aspx 内存马查杀: https://github.com/yzddmr6/ASP.NET-Memshell-Scanner Webshell 查杀 Webshell Dectect Webshell Chop: https://webshellchop.chaitin.cn/demo/ WebShell 查杀: https://n.shellpub.com/ http://www.shellpub.com 攻击研判 Blue Teaming CobaltStrike 流量解密脚本: https://github.com/5ime/CS_Decrypt BlueTeamTools: 综合工具 https://github.com/abc123info/BlueTeamTools IP Logger: 使用生成的短网址获取访问者 IP 地址 https://iplogger.org/ 基线加固 Enforcement https://github.com/AV1080p/Benchmarks https://github.com/xiaoyunjie/Shell_Script https://github.com/grayddq/GScan https://github.com/ppabc/security_check https://github.com/T0xst/linux 勒索病毒 Ransomware 搜索引擎: 360: http://lesuobingdu.360.cn 腾讯: https://guanjia.qq.com/pr/ls 启明星辰: https://lesuo.venuseye.com.cn 奇安信: https://lesuobingdu.qianxin.com 深信服: https://edr.sangfor.com.cn/#/information/ransom_search 解密工具: 腾讯: https://habo.qq.com/tool 金山毒霸: http://www.duba.net/dbt/wannacry.html 瑞星: http://it.rising.com.cn/fanglesuo/index.html 卡巴斯基: https://noransom.kaspersky.com/ https://www.nomoreransom.org/zh/index.html https://id-ransomware.malwarehunterteam.com https://www.avast.com/ransomware-decryption-tools https://www.emsisoft.com/en/ransomware-decryption/ Decryption-Tools: 勒索病毒解密工具收集项目 https://github.com/jiansiting/Decryption-Tools 开源蜜罐 Open-Source Honeypot awesome-honeypots: 开源蜜罐列表 https://github.com/paralax/awesome-honeypots HFish: 一款安全、简单可信赖的跨平台蜜罐软件，允许商业和个人用户免费使用 https://github.com/hacklcx/HFish conpot: ICS（工业控制系统）蜜罐 https://github.com/mushorg/conpot MysqlHoneypot: MySQL 蜜罐 获取 wechat ID https://github.com/qigpig/MysqlHoneypot Ehoney: https://github.com/seccome/Ehoney 云安全 Cloud Security 开源资源 Resources TeamsSix 云安全资源: https://github.com/teamssix/awesome-cloud-security 云安全知识文库: https://wiki.teamssix.com/ lzCloudSecurity: 云安全攻防入门 Github: https://github.com/EvilAnne/lzCloudSecurity Gitbook: https://lzcloudsecurity.gitbook.io/yun-an-quan-gong-fang-ru-men/ Awesome-CloudSec-Labs: 云原生安全 https://github.com/iknowjason/Awesome-CloudSec-Labs 阿里云 OpenAPI: https://next.api.aliyun.com/api/ 云原生全景图: https://landscape.cncf.io/ 云服务漏洞库: https://www.cloudvulndb.org/ 云安全矩阵 Cloud Matrices ATT&CK Cloud Matrix: https://attack.mitre.org/matrices/enterprise/cloud/ 火线安全 - 云服务攻防矩阵: https://cloudsec.huoxian.cn/ 腾讯云鼎实验室 - 云安全攻防矩阵: https://cloudsec.tencent.com/home/ AK/SK CF: 云环境利用框架 https://wiki.teamssix.com/cf/ aksk_tool: 三大云厂商 +ucloud、AWS、京东云、七牛云 https://github.com/wyzxxz/aksk_tool cloudTools: 云资产管理工具，三大云厂商 +ucloud https://github.com/dark-kingA/cloudTools kodo-browser: 七牛云对象存储官方客户端 https://github.com/qiniu/kodo-browser XstorBrowser: 天翼云对象存储官方客户端 https://www.ctyun.cn/document/10306929/10132519 oss-browser: 阿里云 OSS 官方客户端 https://github.com/aliyun/oss-browser cosbrowser: 腾讯云 COS 官方客户端 https://github.com/TencentCloud/cosbrowser cloudSec: 云平台 AK/SK-WEB 利用工具，三大云厂商（阿里云接管 k8s）、AWS、七牛云 https://github.com/libaibaia/cloudSec aliyun-accesskey-Tools: 阿里云 GUI https://github.com/mrknow001/aliyun-accesskey-Tools alicloud-tools: 阿里云 命令行 https://github.com/iiiusky/alicloud-tools 行云管家: 云存储图形化管理平台 https://yun.cloudbility.com/ Docker CDK: 容器渗透 https://github.com/cdk-team/CDK veinmind-tools: 容器安全工具集 https://github.com/chaitin/veinmind-tools Awesome Container Escape: 容器逃逸 https://github.com/brant-ruan/awesome-container-escape etcdctl: https://github.com/etcd-io/etcd Kubernetes KubeHound: 识别 Kubernetes 集群攻击路径 https://github.com/DataDog/KubeHound kubectl: https://kubernetes.io/docs/tasks/tools/ 移动端安全 Mobile Security 小程序 Mini Program ~~[wxappUnpacker: 小程序解包 https://github.com/xuedingmiaojun/wxappUnpacker]~~ CrackMinApp: 反编译微信小程序 https://github.com/Cherrison/CrackMinApp API-Explorer: 公众号/小程序/企业微信 ak/sk https://github.com/mrknow001/API-Explorer APK AppInfoScanner: 移动端信息收集 https://github.com/kelvinBen/AppInfoScanner Apktool: Android apk 逆向 https://github.com/iBotPeaches/Apktool SessionKey wx_sessionkey_decrypt: wechat SessionKey 加解密 https://github.com/mrknow001/wx_sessionkey_decrypt BurpAppletPentester: SessionKey 解密插件 https://github.com/mrknow001/BurpAppletPentester 逆向工程 Reverse engineering NICE TOOLS: OpenArk: Anti-Rootkit 工具集 https://github.com/BlackINT3/OpenArk 逆向分析工具集: https://pythonarsenal.com/ ELF/EXE: IDA: https://hex-rays.com/ida-pro/ x64DBG: https://x64dbg.com/ Ollydbg: https://www.ollydbg.de/ ExeinfoPE: https://github.com/ExeinfoASL/ASL PEiD: https://www.aldeid.com/wiki/PEiD UPX: https://github.com/upx/upx Java: jadx: https://github.com/skylot/jadx JEB: https://www.pnfsoftware.com/ GDA: https://github.com/charles2gan/GDA-android-reversing-Tool Python: Py2exe: Python 打包工具 https://www.py2exe.org/ PyInstaller: Python 打包工具 https://github.com/pyinstaller/pyinstaller unpy2exe: py2exe 打包程序中提取 .pyc https://github.com/matiasb/unpy2exe pyinstxtractor: pyInstaller 打包程序中提取 .pyc https://github.com/extremecoders-re/pyinstxtractor uncompyle6: 字节码文件（.pyc）反编译为源代码（.py） https://github.com/rocky/python-uncompyle6/ Rust: https://github.com/cha5126568/rust-reversing-helper Go: golang_loader_assist: https://github.com/strazzere/golang_loader_assist IDAGolangHelper: https://github.com/sibears/IDAGolangHelper .NET: dotPeek: https://www.jetbrains.com/zh-cn/decompiler/ dnSpy: https://github.com/dnSpy/dnSpy 提高生产力的辅助工具 Shell oh my zsh: 命令行工具集 https://github.com/ohmyzsh/ohmyzsh clink: cmd.exe 加强版补全、历史记录和行编辑 https://github.com/chrisant996/clink tabby: 高度可配置终端 https://github.com/Eugeny/tabby anew: 命令行工具 文件合并去重 https://github.com/tomnomnom/anew The art of command line: 快速掌握命令行 https://github.com/jlevy/the-art-of-command-line Linux 命令行提示工具: https://github.com/jaywcjlove/linux-command online 版 https://github.com/chenjiandongx/pls golang 版 https://github.com/chenjiandongx/how python 版 Explain Shell: Shell 命令解析 https://explainshell.com/ ripgrep: 大文本快速检索 https://github.com/BurntSushi/ripgrep Chrome Extensions Proxy SwitchyOmega: 快速切换代理 https://github.com/FelisCatus/SwitchyOmega serp-analyzer: 识别域名/IP 信息 https://leadscloud.github.io/serp-analyzer/ FindSomething: 在网页的源代码或 js 中寻找有用信息 https://github.com/ResidualLaugh/FindSomething Hack Bar: 渗透神器 No.1 https://github.com/0140454/hackbar Wappalyzer: 识别网站技术/框架/语言 https://www.wappalyzer.com/ EditThisCookie: 修改 Cookie https://www.editthiscookie.com/ Disable JavaScript: 禁用 JavaScript 绕过弹窗 https://github.com/dpacassi/disable-javascript Heimdallr: 被动监听的谷歌插件，用于高危指纹识别、蜜罐特征告警和拦截、机器特征对抗 https://github.com/Ghr07h/Heimdallr anti-honeypot: 蜜罐识别 https://github.com/cnrstar/anti-honeypot immersive-translate: 翻译插件 https://github.com/immersive-translate/immersive-translate/ relingo: 翻译插件 https://cn.relingo.net/en/ json-formatter: Json 格式化插件 https://github.com/callumlocke/json-formatter markdown-viewer: 在浏览器查看 markdown 文档 https://github.com/simov/markdown-viewer Infrastructure f8x: 红/蓝队环境自动化部署工具 https://github.com/ffffffff0x/f8x cloudreve: 私有云盘部署 https://github.com/cloudreve/Cloudreve updog: uploading and downloading via HTTP/S 文件传输 https://github.com/sc0tfree/updog 提高生产力的使用姿势 如何通过.bat 使用 alias 创建 alias.bat，实现查看 md 文档、运行 exe 程序、激活 conda 环境等功能。文件内容示例: ``` @echo off : : Tips @DOSKEY httpcode=type "D: \HackTools\Tips\http_status_code.md" : : Software @DOSKEY ida64=activate base$t"D: \Software\CTFTools\Cracking\IDA_7.7\ida64.exe" : : Tools @DOSKEY fscan=cd /d D: \Software\HackTools\fscan$tactivate security$tdir ``` 注册表打开 计算机\HKEY_CURRENT_USER\Software\Microsoft\Command Processor 。 创建字符串值 autorun ，赋值为 alias.bat 所在位置，例如 D: \Software\alias.bat 。 双击 alias.bat 运行，重启 cmd。 如何通过.bat 激活 conda 并运行 py run.bat call D: \YOUR_PATH\Anaconda\Scripts\activate.bat D: \YOUR_PATH\Anaconda\ call conda activate YOUR_ENV cd D: \YOUR_WORKDIR python YOUR_PYTHON_FILE.py pause 如何配合 tabby 实现高效操作 安装 tabby: https://github.com/Eugeny/tabby 可以通过 tabby 实现自定义 shell 配置，包括但不限于: vps ssh/ftp/sftp 自动补全命令（clink） 快速打开工作区 存储输出日志 ... 如何解决 cmd 中文乱码 注册表打开 计算机\HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Command Processor 。 创建字符串值 autorun ，赋值为 chcp 65001 。

一个攻防知识仓库 Red Teaming and Offensive Security

command-and-control,execution,exploit,initial-access,lateral-movement,privilege-escalation,reconnaissance,red-teaming

cilium/tetragon

Cilium’s new Tetragon component enables powerful real-time, eBPF-based Security Observability and Runtime Enforcement. Tetragon detects and is able to react to security-significant events, such as Process execution events System call activity I/O activity including network & file access When used in a Kubernetes environment, Tetragon is Kubernetes-aware - that is, it understands Kubernetes identities such as namespaces, pods and so on - so that security event detection can be configured in relation to individual workloads. See more about how Tetragon is using eBPF . Getting started Refer to the official documentation of Tetragon . To get started with Tetragon, take a look at the getting started guides to: - Try Tetragon on Kubernetes - Try Tetragon on Linux - Deploy Tetragon - Install the Tetra CLI Tetragon is able to observe critical hooks in the kernel through its sensors and generates events enriched with Linux and Kubernetes metadata: 1. Process lifecycle : generating process_exec and process_exit events by default, enabling full process lifecycle observability. Learn more about these events on the process lifecycle use case page . 1. Generic tracing : generating process_kprobe , process_tracepoint and process_uprobe events for more advanced and custom use cases. Learn more about these events on the TracingPolicy concept page and discover multiple use cases like: - 🌏 network observability - 📂 filename access - 🔑 credentials monitoring - 🔓 privileged execution See further resources: - Conference Talks, Books, Blog Posts, and Labs - Frequently Asked Question - References Join the community Join the Tetragon 💬 Slack channel and the 📅 Community Call to chat with developers, maintainers, and other users. This is a good first stop to ask questions and share your experiences. How to Contribute For getting started with local development, you can refer to the Contribution Guide . If you plan to submit a PR, please "sign-off" your commits.

eBPF-based Security Observability and Runtime Enforcement

bpf,ebpf,kernel,kubernetes,security

helmfile/helmfile

# Helmfile [](https://github.com/helmfile/helmfile/actions/workflows/ci.yaml?query=branch%3Amain) [](https://github.com/helmfile/helmfile/pkgs/container/helmfile) [](https://goreportcard.com/report/github.com/helmfile/helmfile) [](https://slack.sweetops.com) [](https://helmfile.readthedocs.io/en/latest/) Deploy Kubernetes Helm Charts English | 简体中文 About Helmfile is a declarative spec for deploying helm charts. It lets you... Keep a directory of chart value files and maintain changes in version control. Apply CI/CD to configuration changes. Periodically sync to avoid skew in environments. To avoid upgrades for each iteration of helm , the helmfile executable delegates to helm - as a result, helm must be installed. Highlights Declarative : Write, version-control, apply the desired state file for visibility and reproducibility. Modules : Modularize common patterns of your infrastructure, distribute it via Git, S3, etc. to be reused across the entire company (See #648 ) Versatility : Manage your cluster consisting of charts, kustomizations , and directories of Kubernetes resources, turning everything to Helm releases (See #673 ) Patch : JSON/Strategic-Merge Patch Kubernetes resources before helm-install ing, without forking upstream charts (See #673 ) Status May 2024 Update - We are inviting Helmfile v1 rc testers! Please see the v1 proposal here and the latest rc release in the releases page. Please file feature requests in Discussions and bugs in Issues . March 2022 Update - The helmfile project has been moved to helmfile/helmfile from the former home roboll/helmfile . Please see roboll/helmfile#1824 for more information. Installation 1: Binary Installation download one of releases 2: Package Manager Archlinux: install via pacman -S helmfile openSUSE: install via zypper in helmfile assuming you are on Tumbleweed; if you are on Leap you must add the kubic repo for your distribution version once before that command, e.g. zypper ar https://download.opensuse.org/repositories/devel:/kubic/openSUSE_Leap_\$releasever kubic Windows (using scoop ): scoop install helmfile macOS (using homebrew ): brew install helmfile 3: Container For more details, see run as a container Make sure to run helmfile init once after installation. Helmfile uses the helm-diff plugin. Getting Started Let's start with a simple helmfile and gradually improve it to fit your use-case! Suppose the helmfile.yaml representing the desired state of your helm releases looks like: ```yaml repositories: - name: prometheus-community url: https://prometheus-community.github.io/helm-charts releases: - name: prom-norbac-ubuntu namespace: prometheus chart: prometheus-community/prometheus set: - name: rbac.create value: false ``` Sync your Kubernetes cluster state to the desired one by running: console helmfile apply Congratulations! You now have your first Prometheus deployment running inside your cluster. Iterate on the helmfile.yaml by referencing: Configuration CLI reference Helmfile Best Practices Guide Docs Please read complete documentation Contributing Welcome to contribute together to make helmfile better: contributing doc Attribution We use: semtag for automated semver tagging. I greatly appreciate the author(pnikosis)'s effort on creating it and their kindness to share it! Users Helmfile has been used by many users in production: gitlab.com reddit.com Jenkins ... For more users, please see: Users License MIT Star History

Declaratively deploy your Kubernetes manifests, Kustomize configs, and Charts as Helm releases. Generate all-in-one manifests for use with ArgoCD.

kubernetes,helm,kustomize

facebook/buck2

# Buck2: fast multi-language build system ![Version] ![License] [![Build Status]][CI] [Version]: https://img.shields.io/badge/release-unstable,%20"Developer%20Edition"-orange.svg [License]: https://img.shields.io/badge/license-MIT%20OR%20Apache--2.0-blueviolet.svg [Build Status]: https://github.com/facebook/buck2/actions/workflows/build-and-test.yml/badge.svg [CI]: https://github.com/facebook/buck2/actions/workflows/build-and-test.yml Homepage • Getting Started • Contributing --- Buck2 is a fast, hermetic, multi-language build system, and a direct successor to the original Buck build system ("Buck1") — both designed by Meta. But what do those words really mean for a build system — and why might they interest you? "But why Buck2?" you might ask, when so many build systems already exist? Fast . It doesn't matter whether a single build command takes 60 seconds to complete, or 0.1 seconds: when you have to build things, Buck2 doesn't waste time — it calculates the critical path and gets out of the way, with minimal overhead. It's not just the core design, but also careful attention to detail that makes Buck2 so snappy. Buck2 is up to 2x faster than Buck1 in practice [^perf-note]. So you spend more time iterating, and less time waiting. Hermetic . When using Remote Execution[^hermetic-re-only], Buck2 becomes hermetic : it is required for a build rule to correctly declare all of its inputs; if they aren't specified correctly (e.g. a .c file needs a .h file that isn't correctly specified), the build will fail. This enforced correctness helps avoids entire classes of errors that most build systems allow, and helps ensure builds work everywhere for all users. And Buck2 correctly tracks dependencies with far better accuracy than Buck1, in more languages, across more scenarios. That means "it compiles on my machine" can become a thing of the past. Multi-language . Many teams have to deal with multiple programming languages that have complex inter-dependencies, and struggle to express that. Most people settle with make and tie together dune to pip and cargo . But then how do you run test suites, code coverage, or query code databases? Buck2 is designed to support multiple languages from the start, with abstractions for interoperation. And because it's completely scriptable, and users can implement language support — it's incredibly flexible. Now your Python library can depend on an OCaml library, and your OCaml library can depend on a Rust crate — and with a single build tool, you have a consistent UX to build and test and integrate all of these components. [^perf-note]: This number comes from internal usage of Buck1 versus Buck2 at Meta. Please note that appropriate comparisons with systems like Bazel have yet to be performed; Buck1 is the baseline because it's simply what existed and what had to be replaced. Please benchmark Buck2 against your favorite tools and let us know how it goes! [^hermetic-re-only]: Buck2 currently does not sandbox local-only build steps; in contrast, Buck2 using Remote Execution is always hermetic by design. The vast majority of build rules are remote compatible, as well. Despite that, we hope to lift this restriction in the (hopefully short-term) future so that local-only builds are hermetic as well. If you're familiar with systems like Buck1, Bazel , or Pants — then Buck2 will feel warm and cozy, and these ideas will be familiar. But then why create Buck2 if those already exist? Because that isn't all — the page "Why Buck2?" on our website goes into more detail on several other important design critera that separate Buck2 from the rest of the pack, including: Support for ultra-large repositories, through filesystem virtualization and watching for changes to the filesystem. Totally language-agnostic core executable, with a small API — even C/C++ support is written as a library. You can write everything from scratch, if you wanted. "Buck Extension Language" (BXL) can be used for self-introspection of the build system, allowing automation tools to inspect and run actions in the build graph. This allows you to more cleanly support features that need graph introspection, like LSPs or compilation databases. Support for distributed compilation, using the same Remote Execution API that is supported by Bazel. Existing solutions like BuildBarn, BuildBuddy, EngFlow, and NativeLink all work today. An efficient, robust, and sound design — inspired by modern theory of build systems and incremental computation. And more! If these headline features make you interested — check out the Getting Started guide! 🚧🚧🚧 Warning 🚧🚧🚧 — rough terrain lies ahead Buck2 was released recently and currently does not have a stable release tag at this time . Pre-release tags/binaries, and stable tags/binaries, will come at later dates. Despite that, it is used extensively inside of Meta on vast amounts of code every day, and buck2-prelude is the same code used internally for all these builds, as well. Meta just uses the latest committed HEAD version of Buck2 at all times. Your mileage may vary — but at the moment, tracking HEAD is ideal for submitting bug reports and catching regressions. The short of this is that you should consider this project and its code to be battle-tested and working, but outside consumers will encounter quite a lot of rough edges right now — several features are missing or in progress, some toolchains from Buck1 are missing, and you'll probably have to fiddle with things more than necessary to get it nice and polished. Please provide feedback by submitting issues and questions! Installing Buck2 You can get started by downloading the latest buck2 binary for your platform. The latest tag always refers to a recent commit; it is updated on every single push to the GitHub repository, so it will always be a recent version. You can also compile Buck2 from source, if a binary isn't immediately available for your use; check out the HACKING.md file for information. Terminology conventions Frequently used terms and their definitions can be found on the glossary page . License Buck2 is licensed under both the MIT license and Apache-2.0 license; the exact terms can be found in the LICENSE-MIT and LICENSE-APACHE files, respectively.

Build system, successor to Buck

[]

tensorchord/Awesome-LLMOps

Awesome LLMOps An awesome & curated list of the best LLMOps tools for developers. Contribute Contributions are most welcome, please adhere to the contribution guidelines . Table of Contents Table of Contents Model Large Language Model CV Foundation Model Audio Foundation Model Serving Large Model Serving Frameworks/Servers for Serving Observability Security LLMOps Search Vector search Code AI Training IDEs and Workspaces Foundation Model Fine Tuning Frameworks for Training Experiment Tracking Visualization Model Editing Data Data Management Data Storage Data Tracking Feature Engineering Data/Feature enrichment Large Scale Deployment ML Platforms Workflow Scheduling Model Management Performance ML Compiler Profiling AutoML Optimizations Federated ML Awesome Lists Model Large Language Model | Project | Details | Repository | |---|---|---| | Alpaca | Code and documentation to train Stanford's Alpaca models, and generate the data. | | | BELLE | A 7B Large Language Model fine-tune by 34B Chinese Character Corpus, based on LLaMA and Alpaca. | | | Bloom | BigScience Large Open-science Open-access Multilingual Language Model | | | dolly | Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform | | | Falcon 40B | Falcon-40B-Instruct is a 40B parameters causal decoder-only model built by TII based on Falcon-40B and finetuned on a mixture of Baize. It is made available under the Apache 2.0 license. | | | FastChat (Vicuna) | An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5. | | | Gemma | Gemma is a family of lightweight, open models built from the research and technology that Google used to create the Gemini models.| | | GLM-6B (ChatGLM) | An Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs. | | | ChatGLM2-6B | ChatGLM2-6B is the second-generation version of the open-source bilingual (Chinese-English) chat model ChatGLM-6B . | | | GLM-130B (ChatGLM) | An Open Bilingual Pre-Trained Model (ICLR 2023) | | | GPT-NeoX | An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. | | | Luotuo | A Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA. | | | Mixtral-8x7B-v0.1 | The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. | | | StableLM | StableLM: Stability AI Language Models | | ⬆ back to ToC CV Foundation Model | Project | Details | Repository | |---|---|---| | disco-diffusion | A frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations. | | | midjourney | Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species. | | | segment-anything (SAM) | produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image. | | | stable-diffusion | A latent text-to-image diffusion model | | | stable-diffusion v2 | High-Resolution Image Synthesis with Latent Diffusion Models | | ⬆ back to ToC Audio Foundation Model | Project | Details | Repository | |---|---|---| | bark | Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. | | | whisper | Robust Speech Recognition via Large-Scale Weak Supervision | | Serving Large Model Serving | Project | Details | Repository | |---|---|---| | Alpaca-LoRA-Serve | Alpaca-LoRA as Chatbot service | | | CTranslate2 | fast inference engine for Transformer models in C++ | | | Clip-as-a-service | serving the OpenAI CLIP model | | | DeepSpeed-MII | MII makes low-latency and high-throughput inference possible, powered by DeepSpeed. | | | Faster Whisper | fast inference engine for whisper in C++ using CTranslate2. | | | FlexGen | Running large language models on a single GPU for throughput-oriented scenarios. | | | Flowise | Drag & drop UI to build your customized LLM flow using LangchainJS. | | | llama.cpp | Port of Facebook's LLaMA model in C/C++ | | | Infinity | Rest API server for serving text-embeddings | | | Modelz-LLM | OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others) | | | Ollama | Serve Llama 2 and other large language models locally from command line or through a browser interface. | | | TensorRT-LLM | Inference engine for TensorRT on Nvidia GPUs | | | text-generation-inference | Large Language Model Text Generation Inference | | | text-embeddings-inference | Inference for text-embedding models | | | vllm | A high-throughput and memory-efficient inference and serving engine for LLMs. | | | whisper.cpp | Port of OpenAI's Whisper model in C/C++ | | | x-stable-diffusion | Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. | | ⬆ back to ToC Frameworks/Servers for Serving | Project | Details | Repository | |---|---|---| | BentoML | The Unified Model Serving Framework | | | Jina | Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native | | | Mosec | A machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface. | | | TFServing | A flexible, high-performance serving system for machine learning models. | | | Torchserve | Serve, optimize and scale PyTorch models in production | | | Triton Server (TRTIS) | The Triton Inference Server provides an optimized cloud and edge inferencing solution. | | | langchain-serve | Serverless LLM apps on Production with Jina AI Cloud | | | lanarky | FastAPI framework to build production-grade LLM applications | | | ray-llm | LLMs on Ray - RayLLM | | | Xinference | Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop. | | ⬆ back to ToC Security Frameworks for LLM security | Project | Details | Repository | |---|---|---| | Plexiglass | A Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms. | | ⬆ back to ToC Observability | Project | Details | Repository | |---|---|---| | Azure OpenAI Logger | "Batteries included" logging solution for your Azure OpenAI instance. | | | Deepchecks | Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort. | | | Evidently | Evaluate and monitor ML models from validation to production. | | | Fiddler AI | Evaluate, monitor, analyze, and improve machine learning and generative models from pre-production to production. Ship more ML and LLMs into production, and monitor ML and LLM metrics like hallucination, PII, and toxicity. | | | Giskard | Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code. | | | Great Expectations | Always know what to expect from your data. | | | whylogs | The open standard for data logging | | ⬆ back to ToC LLMOps | Project | Details | Repository | |---|---|---| | agenta | The LLMOps platform to build robust LLM apps. Easily experiment and evaluate different prompts, models, and workflows to build robust apps. | | | AI studio | A Reliable Open Source AI studio to build core infrastructure stack for your LLM Applications. It allows you to gain visibility, make your application reliable, and prepare it for production with features such as caching, rate limiting, exponential retry, model fallback, and more. | | | Arize-Phoenix | ML observability for LLMs, vision, language, and tabular models. | | | BudgetML | Deploy a ML inference service on a budget in less than 10 lines of code. | | | CometLLM | The 100% opensource LLMOps platform to log, manage, and visualize your LLM prompts and chains. Track prompt templates, prompt variables, prompt duration, token usage, and other metadata. Score prompt outputs and visualize chat history all within a single UI. | | | deeplake | Stream large multimodal datasets to achieve near 100% GPU utilization. Query, visualize, & version control data. Access data w/o the need to recompute the embeddings for the model finetuning. | | | Dify | Open-source framework aims to enable developers (and even non-developers) to quickly build useful applications based on large language models, ensuring they are visual, operable, and improvable. | | | Dstack | Cost-effective LLM development in any cloud (AWS, GCP, Azure, Lambda, etc). | | | Embedchain | Framework to create ChatGPT like bots over your dataset. | | | Fiddler AI | Evaluate, monitor, analyze, and improve MLOps and LLMOps from pre-production to production. | | | Glide | Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed. | | | GPTCache | Creating semantic cache to store responses from LLM queries. | | | Haystack | Quickly compose applications with LLM Agents, semantic search, question-answering and more. | | | Izlo | Prompt management tools for teams. Store, improve, test, and deploy your prompts in one unified workspace. | | | Keywords AI | A unified DevOps platform for AI software. Keywords AI makes it easy for developers to build LLM applications. | | | langchain | Building applications with LLMs through composability | | | LangFlow | An effortless way to experiment and prototype LangChain flows with drag-and-drop components and a chat interface. | | | Langfuse | Open Source LLM Engineering Platform: Traces, evals, prompt management and metrics to debug and improve your LLM application. | | | LangKit | Out-of-the-box LLM telemetry collection library that extracts features and profiles prompts, responses and metadata about how your LLM is performing over time to find problems at scale. | | | LiteLLM 🚅 | A simple & light 100 line package to standardize LLM API calls across OpenAI, Azure, Cohere, Anthropic, Replicate API Endpoints | | | Literal AI | Multi-modal LLM observability and evaluation platform. Create prompt templates, deploy prompts versions, debug LLM runs, create datasets, run evaluations, monitor LLM metrics and collect human feedback. | | | LlamaIndex | Provides a central interface to connect your LLMs with external data. | | | LLMApp | LLM App is a Python library that helps you build real-time LLM-enabled data pipelines with few lines of code. | | | LLMFlows | LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents. | | | LLMonitor | Observability and monitoring for AI apps and agents. Debug agents with powerful tracing and logging. Usage analytics and dive deep into the history of your requests. Developer friendly modules with plug-and-play integration into LangChain. | | | magentic | Seamlessly integrate LLMs as Python functions. Use type annotations to specify structured output. Mix LLM queries and function calling with regular Python code to create complex LLM-powered functionality. | | | Manag.ai | Your all-in-one prompt management and observability platform. Craft, track, and perfect your LLM prompts with ease. | | | Mirascope | Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications | | | OpenLIT | OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool and provides OpenTelmetry Auto-instrumentation for monitoring LLMs, VectorDBs and Frameworks. It provides valuable insights into token & cost usage, user interaction, and performance related metrics. | | | Parea AI | Platform and SDK for AI Engineers providing tools for LLM evaluation, observability, and a version-controlled enhanced prompt playground. | | | Pezzo 🕹️ | Pezzo is the open-source LLMOps platform built for developers and teams. In just two lines of code, you can seamlessly troubleshoot your AI operations, collaborate and manage your prompts in one place, and instantly deploy changes to any environment. | | | PromptHub | Full stack prompt management tool designed to be usable by technical and non-technical team members. Test, version, collaborate, deploy, and monitor, all from one place. | | | promptfoo | Open-source tool for testing & evaluating prompt quality. Create test cases, automatically check output quality and catch regressions, and reduce evaluation cost. | | | Prompteams | Prompt management system. Version, test, collaborate, and retrieve prompts through real-time APIs. Have GitHub style with repos, branches, and commits (and commit history). | | | prompttools | Open-source tools for testing and experimenting with prompts. The core idea is to enable developers to evaluate prompts using familiar interfaces like code and notebooks. In just a few lines of codes, you can test your prompts and parameters across different models (whether you are using OpenAI, Anthropic, or LLaMA models). You can even evaluate the retrieval accuracy of vector databases. | | | TreeScale | All In One Dev Platform For LLM Apps. Deploy LLM-enhanced APIs seamlessly using tools for prompt optimization, semantic querying, version management, statistical evaluation, and performance tracking. As a part of the developer friendly API implementation TreeScale offers Elastic LLM product, which makes a unified API Endpoint for all major LLM providers and open source models. | | | TrueFoundry | Deploy LLMOps tools like Vector DBs, Embedding server etc on your own Kubernetes (EKS,AKS,GKE,On-prem) Infra including deploying, Fine-tuning, tracking Prompts and serving Open Source LLM Models with full Data Security and Optimal GPU Management. Train and Launch your LLM Application at Production scale with best Software Engineering practices. | | | ReliableGPT 💪 | Handle OpenAI Errors (overloaded OpenAI servers, rotated keys, or context window errors) for your production LLM Applications. | | | Portkey | Control Panel with an observability suite & an AI gateway — to ship fast, reliable, and cost-efficient apps. | | | Vellum | An AI product development platform to experiment with, evaluate, and deploy advanced LLM apps. | | | Weights & Biases (Prompts) | A suite of LLMOps tools within the developer-first W&B MLOps platform. Utilize W&B Prompts for visualizing and inspecting LLM execution flow, tracking inputs and outputs, viewing intermediate results, securely managing prompts and LLM chain configurations. | | | Wordware | A web-hosted IDE where non-technical domain experts work with AI Engineers to build task-specific AI agents. It approaches prompting as a new programming language rather than low/no-code blocks. | | | xTuring | Build and control your personal LLMs with fast and efficient fine-tuning. | | | ZenML | Open-source framework for orchestrating, experimenting and deploying production-grade ML solutions, with built-in langchain & llama_index integrations. | | ⬆ back to ToC Search Vector search | Project | Details | Repository | |---|---|---| | AquilaDB | An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search. | | | Awadb | AI Native database for embedding vectors | | | Chroma | the open source embedding database | | | Infinity | The AI-native database built for LLM applications, providing incredibly fast vector and full-text search | | | Lancedb | Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps! | | | Marqo | Tensor search for humans. | | | Milvus | Vector database for scalable similarity search and AI applications. | | | Pinecone | The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. | | | pgvector | Open-source vector similarity search for Postgres. | | | pgvecto.rs | Vector database plugin for Postgres, written in Rust, specifically designed for LLM. | | | Qdrant | Vector Search Engine and Database for the next generation of AI applications. Also available in the cloud | | | txtai | Build AI-powered semantic search applications | | | Vald | A Highly Scalable Distributed Vector Search Engine | | | Vearch | A distributed system for embedding-based vector retrieval | | | VectorDB | A Python vector database you just need - no more, no less. | | | Vellum | A managed service for ingesting documents and performing hybrid semantic/keyword search across them. Comes with out-of-box support for OCR, text chunking, embedding model experimentation, metadata filtering, and production-grade APIs. | | | Weaviate | Weaviate is an open source vector search engine that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients. | | ⬆ back to ToC Code AI | Project | Details | Repository | |---|---|---| | CodeGeeX | CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023) | | | CodeGen | CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex. | | | CodeT5 | Open Code LLMs for Code Understanding and Generation. | | | Continue | ⏩ the open-source autopilot for software development—bring the power of ChatGPT to VS Code | | | fauxpilot | An open-source alternative to GitHub Copilot server | | | tabby | Self-hosted AI coding assistant. An opensource / on-prem alternative to GitHub Copilot. | | Training IDEs and Workspaces | Project | Details | Repository | |---|---|---| | code server | Run VS Code on any machine anywhere and access it in the browser. | | | conda | OS-agnostic, system-level binary package manager and ecosystem. | | | Docker | Moby is an open-source project created by Docker to enable and accelerate software containerization. | | | envd | 🏕️ Reproducible development environment for AI/ML. | | | Jupyter Notebooks | The Jupyter notebook is a web-based notebook environment for interactive computing. | | | Kurtosis | A build, packaging, and run system for ephemeral multi-container environments. | | | Wordware | A web-hosted IDE where non-technical domain experts work with AI Engineers to build task-specific AI agents. It approaches prompting as a new programming language rather than low/no-code blocks. | | ⬆ back to ToC Foundation Model Fine Tuning | Project | Details | Repository | |----------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---| | alpaca-lora | Instruct-tune LLaMA on consumer hardware | | | finetuning-scheduler | A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules. | | | Flyflow | Open source, high performance fine tuning as a service for GPT4 quality models with 5x lower latency and 3x lower cost | | | LMFlow | An Extensible Toolkit for Finetuning and Inference of Large Foundation Models | | | Lora | Using Low-rank adaptation to quickly fine-tune diffusion models. | | | peft | State-of-the-art Parameter-Efficient Fine-Tuning. | | | p-tuning-v2 | An optimized prompt tuning strategy achieving comparable performance to fine-tuning on small/medium-sized models and sequence tagging challenges. (ACL 2022) | | | QLoRA | Efficient finetuning approach that reduces memory usage enough to finetune a 65B parameter model on a single 48GB GPU while preserving full 16-bit finetuning task performance. | | | TRL | Train transformer language models with reinforcement learning. | | ⬆ back to ToC Frameworks for Training | Project | Details | Repository | |---|---|---| | Accelerate | 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision. | | | Apache MXNet | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler. | | | axolotl | A tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures. | | | Caffe | A fast open framework for deep learning. | | | ColossalAI | An integrated large-scale model training system with efficient parallelization techniques. | | | DeepSpeed | DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. | | | Horovod | Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. | | | Jax | Autograd and XLA for high-performance machine learning research. | | | Kedro | Kedro is an open-source Python framework for creating reproducible, maintainable and modular data science code. | | | Keras | Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. | | | LightGBM | A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. | | | MegEngine | MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation. | | | metric-learn | Metric Learning Algorithms in Python. | | | MindSpore | MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios. | | | Oneflow | OneFlow is a performance-centered and open-source deep learning framework. | | | PaddlePaddle | Machine Learning Framework from Industrial Practice. | | | PyTorch | Tensors and Dynamic neural networks in Python with strong GPU acceleration. | | | PyTorch Lightning | Deep learning framework to train, deploy, and ship AI products Lightning fast. | | | XGBoost | Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library. | | | scikit-learn | Machine Learning in Python. | | | TensorFlow | An Open Source Machine Learning Framework for Everyone. | | | VectorFlow | A minimalist neural network library optimized for sparse data and single machine environments. | | ⬆ back to ToC Experiment Tracking | Project | Details | Repository | |---|---|---| | Aim | an easy-to-use and performant open-source experiment tracker. | | | ClearML | Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management | | | Comet | Comet is an MLOps platform that offers experiment tracking, model production management, a model registry, and full data lineage from training straight through to production. Comet plays nicely with all your favorite tools, so you don't have to change your existing workflow. Check out CometLLM for all your prompt engineering needs! | | | Guild AI | Experiment tracking, ML developer tools. | | | MLRun | Machine Learning automation and tracking. | | | Kedro-Viz | Kedro-Viz is an interactive development tool for building data science pipelines with Kedro. Kedro-Viz also allows users to view and compare different runs in the Kedro project. | | | LabNotebook | LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments. | | | Sacred | Sacred is a tool to help you configure, organize, log and reproduce experiments. | | | Weights & Biases | A developer first, lightweight, user-friendly experiment tracking and visualization tool for machine learning projects, streamlining collaboration and simplifying MLOps. W&B excels at tracking LLM-powered applications, featuring W&B Prompts for LLM execution flow visualization, input and output monitoring, and secure management of prompts and LLM chain configurations. | | ⬆ back to ToC Visualization | Project | Details | Repository | |---|---|---| | Fiddler AI | Rich dashboards, reports, and UMAP to perform root cause analysis, pinpoint problem areas, like correctness, safety, and privacy issues, and improve LLM outcomes. | | | Maniford | A model-agnostic visual debugging tool for machine learning. | | | netron | Visualizer for neural network, deep learning, and machine learning models. | | | OpenOps | Bring multiple data streams into one dashboard. | | | TensorBoard | TensorFlow's Visualization Toolkit. | | | TensorSpace | Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js. | | | dtreeviz | A python library for decision tree visualization and model interpretation. | | | Zetane Viewer | ML models and internal tensors 3D visualizer. | | | Zeno | AI evaluation platform for interactively exploring data and model outputs. | | Model Editing | Project | Details | Repository | |---|---|---| | FastEdit | FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command. | | ⬆ back to ToC Data Data Management | Project | Details | Repository | |---|---|---| | ArtiVC | A version control system to manage large files. Lake is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size. | | | Dolt | Git for Data. | | | DVC | Data Version Control - Git for Data & Models - ML Experiments Management. | | | Delta-Lake | Storage layer that brings scalable, ACID transactions to Apache Spark and other engines. | | | Pachyderm | Pachyderm is a version control system for data. | | | Quilt | A self-organizing data hub for S3. | | ⬆ back to ToC Data Storage | Project | Details | Repository | |---|---|---| | JuiceFS | A distributed POSIX file system built on top of Redis and S3. | | | LakeFS | Git-like capabilities for your object storage. | | | Lance | Modern columnar data format for ML implemented in Rust. | | ⬆ back to ToC Data Tracking | Project | Details | Repository | |---|---|---| | Piperider | A CLI tool that allows you to build data profiles and write assertion tests for easily evaluating and tracking your data's reliability over time. | | | LUX | A Python library that facilitates fast and easy data exploration by automating the visualization and data analysis process. | | ⬆ back to ToC Feature Engineering | Project | Details | Repository | |---|---|---| | Featureform | The Virtual Feature Store. Turn your existing data infrastructure into a feature store. | | | FeatureTools | An open source python framework for automated feature engineering | | ⬆ back to ToC Data/Feature enrichment | Project | Details | Repository | |---|---|---| | Upgini | Free automated data & feature enrichment library for machine learning: automatically searches through thousands of ready-to-use features from public and community shared data sources and enriches your training dataset with only the accuracy improving features | | | Feast | An open source feature store for machine learning. | | ⬆ back to ToC Large Scale Deployment ML Platforms | Project | Details | Repository | |---|---|---| | Comet | Comet is an MLOps platform that offers experiment tracking, model production management, a model registry, and full data lineage from training straight through to production. Comet plays nicely with all your favorite tools, so you don't have to change your existing workflow. Check out CometLLM for all your prompt engineering needs! | | | ClearML | Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management. | | | Hopsworks | Hopsworks is a MLOps platform for training and operating large and small ML systems, including fine-tuning and serving LLMs. Hopsworks includes both a feature store and vector database for RAG. | | | OpenLLM | An open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease. | | | MLflow | Open source platform for the machine learning lifecycle. | | | MLRun | An open MLOps platform for quickly building and managing continuous ML applications across their lifecycle. | | | ModelFox | ModelFox is a platform for managing and deploying machine learning models. | | | Kserve | Standardized Serverless ML Inference Platform on Kubernetes | | | Kubeflow | Machine Learning Toolkit for Kubernetes. | | | PAI | Resource scheduling and cluster management for AI. | | | Polyaxon | Machine Learning Management & Orchestration Platform. | | | Primehub | An effortless infrastructure for machine learning built on the top of Kubernetes. | | | OpenModelZ | One-click machine learning deployment (LLM, text-to-image and so on) at scale on any cluster (GCP, AWS, Lambda labs, your home lab, or even a single machine). | | | Seldon-core | An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models | | | Starwhale | An MLOps/LLMOps platform for model building, evaluation, and fine-tuning. | | | TrueFoundry | A PaaS to deploy, Fine-tune and serve LLM Models on a company’s own Infrastructure with Data Security and Optimal GPU and Cost Management. Launch your LLM Application at Production scale with best DevSecOps practices. | | | Weights & Biases | A lightweight and flexible platform for machine learning experiment tracking, dataset versioning, and model management, enhancing collaboration and streamlining MLOps workflows. W&B excels at tracking LLM-powered applications, featuring W&B Prompts for LLM execution flow visualization, input and output monitoring, and secure management of prompts and LLM chain configurations. | | ⬆ back to ToC Workflow | Project | Details | Repository | |---|---|---| | Airflow | A platform to programmatically author, schedule and monitor workflows. | | | aqueduct | An Open-Source Platform for Production Data Science | | | Argo Workflows | Workflow engine for Kubernetes. | | | Flyte | Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. | | | Hamilton | A lightweight framework to represent ML/language model pipelines as a series of python functions. | | | Kubeflow Pipelines | Machine Learning Pipelines for Kubeflow. | | | LangFlow | An effortless way to experiment and prototype LangChain flows with drag-and-drop components and a chat interface. | | | Metaflow | Build and manage real-life data science projects with ease! | | | Ploomber | The fastest way to build data pipelines. Develop iteratively, deploy anywhere. | | | Prefect | The easiest way to automate your data. | | | VDP | An open-source unstructured data ETL tool to streamline the end-to-end unstructured data processing pipeline. | | | ZenML | MLOps framework to create reproducible pipelines. | | ⬆ back to ToC Scheduling | Project | Details | Repository | |---|---|---| | Kueue | Kubernetes-native Job Queueing. | | | PAI | Resource scheduling and cluster management for AI (Open-sourced by Microsoft). | | | Slurm | A Highly Scalable Workload Manager. | | | Volcano | A Cloud Native Batch System (Project under CNCF). | | | Yunikorn | Light-weight, universal resource scheduler for container orchestrator systems. | | ⬆ back to ToC Model Management | Project | Details | Repository | |---|---|---| | Comet | Comet is an MLOps platform that offers Model Production Management, a Model Registry, and full model lineage from training straight through to production. Use Comet for model reproducibility, model debugging, model versioning, model visibility, model auditing, model governance, and model monitoring. | | | dvc | ML Experiments Management - Data Version Control - Git for Data & Models | | | ModelDB | Open Source ML Model Versioning, Metadata, and Experiment Management | | | MLEM | A tool to package, serve, and deploy any ML model on any platform. | | | ormb | Docker for Your ML/DL Models Based on OCI Artifacts | | ⬆ back to ToC Performance ML Compiler | Project | Details | Repository | |---|---|---| | ONNX-MLIR | Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support. | | | TVM | Open deep learning compiler stack for cpu, gpu and specialized accelerators | | ⬆ back to ToC Profiling | Project | Details | Repository | |---|---|---| | octoml-profile | octoml-profile is a python library and cloud service designed to provide the simplest experience for assessing and optimizing the performance of PyTorch models on cloud hardware with state-of-the-art ML acceleration technology. | | | scalene | a high-performance, high-precision CPU, GPU, and memory profiler for Python | | ⬆ back to ToC AutoML | Project | Details | Repository | |---|---|---| | Archai | a platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications. | | | autoai | A framework to find the best performing AI/ML model for any AI problem. | | | AutoGL | An autoML framework & toolkit for machine learning on graphs | | | AutoGluon | AutoML for Image, Text, and Tabular Data. | | | automl-gs | Provide an input CSV and a target field to predict, generate a model + code to run it. | | | autokeras | AutoML library for deep learning. | | | Auto-PyTorch | Automatic architecture search and hyperparameter optimization for PyTorch. | | | auto-sklearn | an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. | | | Dragonfly | An open source python library for scalable Bayesian optimisation. | | | Determined | scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods. | | | DEvol (DeepEvolution) | a basic proof of concept for genetic architecture search in Keras. | | | EvalML | An open source python library for AutoML. | | | FEDOT | AutoML framework for the design of composite pipelines. | | | FLAML | Fast and lightweight AutoML ( paper ). | | | Goptuna | A hyperparameter optimization framework, inspired by Optuna. | | | HpBandSter | a framework for distributed hyperparameter optimization. | | | HPOlib2 | a library for hyperparameter optimization and black box optimization benchmarks. | | | Hyperband | open source code for tuning hyperparams with Hyperband. | | | Hypernets | A General Automated Machine Learning Framework. | | | Hyperopt | Distributed Asynchronous Hyperparameter Optimization in Python. | | | hyperunity | A toolset for black-box hyperparameter optimisation. | | | Intelli | A framework to connect a flow of ML models by applying graph theory. | | | Katib | Katib is a Kubernetes-native project for automated machine learning (AutoML). | | | Keras Tuner | Hyperparameter tuning for humans. | | | learn2learn | PyTorch Meta-learning Framework for Researchers. | | | Ludwig | a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. | | | MOE | a global, black box optimization engine for real world metric optimization by Yelp. | | | Model Search | a framework that implements AutoML algorithms for model architecture search at scale. | | | NASGym | a proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS). | | | NNI | An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. | | | Optuna | A hyperparameter optimization framework. | | | Pycaret | An open-source, low-code machine learning library in Python that automates machine learning workflows. | | | Ray Tune | Scalable Hyperparameter Tuning. | | | REMBO | Bayesian optimization in high-dimensions via random embedding. | | | RoBO | a Robust Bayesian Optimization framework. | | | scikit-optimize(skopt) | Sequential model-based optimization with a scipy.optimize interface. | | | Spearmint | a software package to perform Bayesian optimization. | | | TPOT | one of the very first AutoML methods and open-source software packages. | | | Torchmeta | A Meta-Learning library for PyTorch. | | | Vegas | an AutoML algorithm tool chain by Huawei Noah's Arb Lab. | | ⬆ back to ToC Optimizations | Project | Details | Repository | |---|---|---| | FeatherCNN | FeatherCNN is a high performance inference engine for convolutional neural networks. | | | Forward | A library for high performance deep learning inference on NVIDIA GPUs. | | | NCNN | ncnn is a high-performance neural network inference framework optimized for the mobile platform. | | | PocketFlow | use AutoML to do model compression. | | | TensorFlow Model Optimization | A suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution. | | | TNN | A uniform deep learning inference framework for mobile, desktop and server. | | ⬆ back to ToC Federated ML | Project | Details | Repository | |---|---|---| | EasyFL | An Easy-to-use Federated Learning Platform | | | FATE | An Industrial Grade Federated Learning Framework | | | FedML | The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. | | | Flower | A Friendly Federated Learning Framework | | | Harmonia | Harmonia is an open-source project aiming at developing systems/infrastructures and libraries to ease the adoption of federated learning (abbreviated to FL) for researches and production usage. | | | TensorFlow Federated | A framework for implementing federated learning | | ⬆ back to ToC Awesome Lists | Project | Details | Repository | |---|---|---| | Awesome Argo | A curated list of awesome projects and resources related to Argo | | | Awesome AutoDL | Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis) | | | Awesome AutoML | Curating a list of AutoML-related research, tools, projects and other resources | | | Awesome AutoML Papers | A curated list of automated machine learning papers, articles, tutorials, slides and projects | | | Awesome-Code-LLM | 👨‍💻 An awesome and curated list of best code-LLM for research. | | | Awesome Federated Learning Systems | A curated list of Federated Learning Systems related academic papers, articles, tutorials, slides and projects. | | | Awesome Federated Learning | A curated list of federated learning publications, re-organized from Arxiv (mostly) | | | awesome-federated-learning acc | All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc. | | | Awesome Open MLOps | This is the Fuzzy Labs guide to the universe of free and open source MLOps tools. | | | Awesome Production Machine Learning | A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning | | | Awesome Tensor Compilers | A list of awesome compiler projects and papers for tensor computation and deep learning. | | | kelvins/awesome-mlops | A curated list of awesome MLOps tools. | | | visenger/awesome-mlops | Machine Learning Operations - An awesome list of references for MLOps | | | currentslab/awesome-vector-search | A curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search. | | | pleisto/flappy | Production-Ready LLM Agent SDK for Every Developer | | ⬆ back to ToC

An awesome & curated list of best LLMOps tools for developers

awesome-list,mlops,ai-development-tools,llmops

riti2409/Resources-for-preparation-Of-Placements

Resources-for-preparation-Of-Placements (Lecture video links) Programming Language Used : C Programming in C DS-ALGO Analysis of Algorithms Programming Language Used : C++ Programming in C++ ARRAYS STRING BINARY SEARCH Dynamic Programming Aditya Verma TakeuForward STACK HEAP SLIDING WINDOW RECURSION , BACKTRACKING TREES GRAPHS LINKEDLIST TRIE SEGMENT TREE STL HASHING COMPETITIVE PROGRAMMING CodeWithTwins Programming Language Used : JAVA Programming in JAVA Data Structure and Algorithams Kunal Kushwaha Pepcoding Durga Sir Anuj Bhaiya Programming Language Used : Python Programming in Python DSA in Python DS-ALGO Tech With Tim Python Engineer Placement Series C++ JAVA JAVA PYTHON Computer Science Fundamentals DataBase and Management System (DBMS) Operating System (OS) Computer Networks (CN) Object Oriented Programming System (OOPS) Java C++ Python Theory Of Computation (THOC) Software Engineering (SE) Designing SYSTEM DESIGN Gaurav Sen SudoCode Whatsapp System Desgin Instagram Design TikTok Architechture Design Tinder System Design System Design of Amazon, Flipkart like E-commerce Mock Low Level Design Interview High Level Design vs Low Level Design low Level Design of a Fitness App Mock Low Level Design Interview LOW LEVEL DESIGN Soumyajit bhattacharya Sandeep Kaul Crack the System DesigN Interview System Design Interview — Alex Xu Designing Data Intensive Applications System Design Interview System Design Services Engineering Engineering Blogs LLD Coding Git and Github Git and GitHub for Poets Projects WEB DEVELOPMENT DATA SCIENCE MACHINE LEARNING ADD- ONS leetcode-patterns Coding-Interview-Patterns Bootcamp-Java Data science intern course Spring Boot Unity Game Development You can add more in this list . Lets help the community !

Lecture video links for preparation of Placements

arrays-and-strings,linkedlist,heap,dsa-algorithm,dsa,graph,c

piitaya/lovelace-mushroom

🍄 Mushroom What is mushroom ? Mushroom is a collection of cards for Home Assistant Dashboard UI. Mushroom mission is to propose easy to use components to build your Home Assistant dashboard. Features 🛠 Editor for all cards and and all options (no need to edit yaml ) 😍 Icon picker 🖌 Color picker 🚀 0 dependencies : no need to install another card. 🌈 Based on Material UI colors 🌓 Light and dark theme support 🎨 Optional theme customization 🌎 Internationalization The goal of Mushroom is not to provide custom card for deep customization. You can use the excellent UI Lovelace Minimalist and Button card plugins for this. Installation HACS Mushroom is available in HACS (Home Assistant Community Store). Install HACS if you don't have it already Open HACS in Home Assistant Go to "Frontend" section Click button with "+" icon Search for "Mushroom" Manual Download mushroom.js file from the latest release . Put mushroom.js file into your config/www folder. Add reference to mushroom.js in Dashboard. There's two way to do that: Using UI: Settings → Dashboards → More Options icon → Resources → Add Resource → Set Url as /local/mushroom.js → Set Resource type as JavaScript Module . Note: If you do not see the Resources menu, you will need to enable Advanced Mode in your User Profile Using YAML: Add following code to lovelace section. yaml resources: - url: /local/mushroom.js type: module Usage All the Mushroom cards can be configured using Dashboard UI editor. In Dashboard UI, click 3 dots in top right corner. Click Edit Dashboard . Click Plus button to add a new card. Find one of the Custom: Mushroom card in the list. Cards Different cards are available for differents entities : 🚨 Alarm card 🪟 Cover card 🪄 Entity card 💨 Fan card 💡 Light card 🙋 Person card 🛠 Template card 🔔 Chips card ✏️ Title card 📦 Update card 🧹 Vacuum card 📺 Media card 🔒 Lock card 💧 Humidifier card 🌡 Climate card 📑 Select card 🔢 Number card Theme customization Mushroom works without theme but you can add a theme for better experience by installing the Mushroom Themes . If you want more information about themes, check out the official Home Assistant documentation about themes . Development server Home assistant demo You can run a demo instance of Home Assistant with docker by running: sh npm run start:hass Once it's done, go to Home Assistant instance http://localhost:8123 and start configuration. Windows Users If you are on Windows, either run the above command in Powershell, or use the below if using Command Prompt: sh npm run start:hass-cmd Development In another terminal, install dependencies and run development server: sh npm install npm start Server will start on port 4000 . Build You can build the mushroom.js file in dist folder by running the build command. sh npm run build Maintainer steps to add a new language To be compatible with Home Assistant, language tags have to follow BCP 47 . A list of most language tags can be found here: IANA subtag registry . Examples: fr , fr-CA , zh-Hans . Create a new file {language_code}.json with your language code in the translation folder . Examples: fr.json . Import your file into the localize.ts file and add your language in the languages record. Don't forget to test locally with the development server by choosing the language with the Home Assistant UI in your profile. Troubleshooting I don't see the last changes Check that your Home Assistant version is the latest. Some new Mushroom features can only be visible for the latest Home Assistant version. Check that you have the latest Mushroom version Clear your cache : delete mushroom resources (https://my.home-assistant.io/redirect/lovelace_resources/) uninstall Mushroom from HACS reinstall Mushroom from HACS My card mod configuration doesn't work. Help about card mod configuration is not provided in this repository. More info in the state of card mod support . Credits The design is inspired by 7ahang’s work on Behance and Ui Lovelace Minimalist .

Build a beautiful Home Assistant dashboard easily

card,home-assistant,lovelace,mushroom,hacs,hacktoberfest

Icalingua-plus-plus/Icalingua-plus-plus

Icalingua++ Icalingua++ 是 Icalingua 的分叉，为已经删除的 Icalingua 提供有限的更新，同时欢迎社区提交PR。 Icalingua 这个名字是日语中「光」和拉丁语中「语言」的组合。 本项目希望为 Linux 打造一个会话前端框架，通过实现 Adapter 后端接口来适配各种聊天平台。目前已经拥有基于 oicq 的分叉 oicq-icalingua-plus-plus 以及 Icalingua 自有协议的后端。 （感谢社区提供的 AUR Package） 分支状态 develop 头部签名 API 可用于解决无法登录/无法发送消息的问题 不要随意使用无法信任的 API ，因为这可能导致 消息内容的泄露 常用启动参数 禁用硬件加速: --dha 启动时隐藏主界面: --hide 或 -h 指定配置: --config xxx.yaml 或 -c xxx.yaml 自定义数据目录: --user-data-dir= $path-you-want 默认数据目录 | 操作系统 | 路径 | |---------|-----------------------| | Linux | ~/.config/icalingua | | Windows | %AppData%\icalingua | | macOS | ~/Library/Application Support/icalingua | 自定义脚本、样式、主题、插件相关 自定义脚本 客户端默认会加载数据目录下的 addon.js ，但是默认不会创建这个文件。 自定义样式 客户端默认会加载数据目录下的 style.css ，但是默认不会创建这个文件。 自定义主题 此类主题为 颜色主题 ，仅能修改各处的颜色表现，若需修改样式请使用 自定义样式 。 客户端默认会加载数据目录下的 themes 目录的所有 JSON 文件，以文件名作为主题的名字，JSON 内容可以参考客户端源码中的 默认主题文件 。 默认会采用 白色 (light) 作为基础主题，可以在 bashTheme 字段中指定 light 或者 dark 。 参考例子（一个基于黑色主题的透明主题） themes/transparent-dark.json { "baseTheme": "dark", "general": { "backgroundInput": "#20222364" }, "header": { "background": "#181a1b48" }, "footer": { "background": "#13141569", "backgroundReply": "#1b1c1c84", "backgroundTagActive": "#2b2c2c80" }, "content": { "background": "#2c2e3064" }, "message": { "background": "#22242a78", "backgroundMe": "#1f7e8064", "backgroundImage": "#dddddd40" }, "panel": { "background": "#34343484", "itemBg": "#22242a84", "itemBgHover": "#1e1e2584", "sideBar": "#41383684", "headerBg": "#181a1b1c" } } style.css 配置（壁纸 background-image 自定） ``` .el-main { background-image: url(""); background-size: cover; background-repeat: no-repeat; } .vac-container-scroll { margin-top: 64px; } .el-badge__content--info { background-color: #6771856e; } .vac-box-footer input { background: #ccc6; } .el-dialog { background: #526a6bc7; } .vac-card-window a { color: #a3b8cb; } .vac-box-footer>div { backdrop-filter: blur(5px); } ``` 自定义插件 须在选项中勾选 启用插件 ，bridge 则在配置文件中 设置 custom 为 true 。 插件为名为 custom 的目录，非 bridge 的插件存放在数据目录中，bridge 的插件目录与 data 目录同级存放。 参考插件 ， 此插件需使用 tsc 编译成 JavaScript 后才能使用！ 插件需使用 JavaScript 编写，且只有在接收到消息时才会调用插件导出的 onMessage 方法，data 与 bot 参数的使用方法请参考 OICQ v1 的 wiki 。若需监听其他事件可使用 bot.on() ，理论上可以兼容使用修改后的 OICQ v1 API 的机器人框架并增加更完善的插件系统。 统计 License 免责声明 本开源项目仅用于学习和交流会话前端框架实现，一切开发旨在学习，请勿用于非法用途。本项目使用 AGPL-3.0 许可，完全免费开源，不收取任何费用。请勿将本项目用于商业用途。 因使用本项目调用不同 Adapter 后端接口（如 oicq）产生的一切问题与后果由使用者自行承担，项目开发者不承担任何责任。 本项目基于 AGPL 发行。修改、再发行和运行服务需要遵守 AGPL 许可证，源码需要和服务一起提供。

A client for QQ and more. :electron:

[]

dair-ai/ML-Notebooks

🐙 Machine Learning Notebooks This repo contains machine learning notebooks for different tasks and applications. The notebooks are meant to be minimal, easily reusable, and extendable. You are free to use them for educational and research purposes. This repo supports Codespaces! - Spin up a new instance by clicking on the green "<> Code" button followed by the "Configure and create codespace" option. Make sure to select the dev container config provided with this repo. This setups an environment with all the dependencies installed and ready to go. - Once the codespace is fully running, you can install all the libraries you will need to run the notebooks under the /notebooks folder. Open up a terminal and simply run conda create --name myenv --file spec-file.txt to install all the Python libraries including PyTorch. - Activate your environment conda activate myenv . You might need to run conda init zsh or whatever shell you are using... and then close + reopen terminal. - Finally you can try out if everything is working by opening a notebook such as /notebooks/bow.ipynb . Getting Started Name Description Notebook Introduction to Computational Graphs A basic tutorial to learn about computational graphs PyTorch Hello World! Build a simple neural network and train it A Gentle Introduction to PyTorch A detailed explanation introducing PyTorch concepts Counterfactual Explanations A basic tutorial to learn about counterfactual explanations for explainable AI Linear Regression from Scratch An implementation of linear regression from scratch using stochastic gradient descent Logistic Regression from Scratch An implementation of logistic regression from scratch Concise Logistic Regression Concise implementation of logistic regression model for binary image classification. First Neural Network - Image Classifier Build a minimal image classifier using MNIST Neural Network from Scratch An implementation of simple neural network from scratch Introduction to GNNs Introduction to Graph Neural Networks. Applies basic GCN to Cora dataset for node classification. NLP Name Description Notebook Bag of Words Text Classifier Build a simple bag of words text classifier. Continuous Bag of Words (CBOW) Text Classifier Build a continuous bag of words text classifier. Deep Continuous Bag of Words (Deep CBOW) Text Classifier Build a deep continuous bag of words text classifier. Text Data Augmentation An introduction to the most commonly used data augmentation techniques for text and their implementation Emotion Classification with Fine-tuned BERT Emotion classification using fine-tuned BERT model Transformers Name Description Notebook Text Classification using Transformer An implementation of Attention Mechanism and Positional Embeddings on a text classification task Neural Machine Translation using Transformer An implementation of Transformer to translate human readable dates in any format to YYYY-MM-DD format. Feature Tokenizer Transformer An implementation of Feature Tokenizer Transformer on a classification task Named Entity Recognition using Transformer An implementation of Transformer to perform token classification and identify species in PubMed abstracts Extractive Question Answering using Transformer An implementation of Transformer to perform extractive question answering Computer Vision Name Description Notebook Siamese Network An implementation of Siamese Network for finding Image Similarity Variational Auto Encoder An implementation of Variational Auto Encoder to generate Augmentations for MNIST Handwritten Digits Object Detection using Sliding Window and Image Pyramid A basic object detection implementation using sliding window and image pyramid on top of an image classifier Object Detection using Selective Search A basic object detection implementation using selective search on top of an image classifier Generative Adversarial Network Name Description Notebook Deep Convolutional GAN An Implementation of Deep Convolutional GAN to generate MNIST digits Wasserstein GAN with Gradient Penalty An Implementation of Wasserstein GAN with Gradient Penalty to generate MNIST digits Conditional GAN An Implementation of Conditional GAN to generate MNIST digits ## Parameter Efficient Fine-tuning Name Description Notebook LoRA BERT An Implementation of BERT Finetuning using LoRA LoRA BERT NER An Implementation of BERT Finetuning using LoRA for token classification task LoRA T5 An Implementation of T5 Finetuning using LoRA LoRA TinyLlama 1.1B An Implementation of TinyLlama 1.1B Finetuning using LoRA QLoRA TinyLlama 1.1B An Implementation of TinyLlama 1.1B Finetuning using QLoRA QLoRA Mistral 7B An Implementation of Mistral 7B Finetuning using QLoRA If you find any bugs or have any questions regarding these notebooks, please open an issue. We will address it as soon as we can. Reach out on Twitter if you have any questions. Please cite the following if you use the code examples in your research: @misc{saravia2022ml, title={ML Notebooks}, author={Saravia, Elvis and Rastogi, Ritvik}, journal={https://github.com/dair-ai/ML-Notebooks}, year={2022} }

:fire: Machine Learning Notebooks

deep-learning,machine-learning,python,pytorch,ai

niuhuan/jasmine

Jasmine Comic A comic browser，support Android / iOS / MacOS / Windows / Linux. This APP has restricted content Please know local laws before using these codes The owner of the repo will not release these codes and its assets to the community outside github Screenshot Browser Reader Features [x] Comics [x] Comic categories [x] Comic reader [x] Comic search [x] Comic favours [x] Histories [x] Cache comic [ ] Games [x] Community [x] List comments [x] Send comments [x] User [x] Login / Register [x] Devices adaptation [x] Android's high frequency screen Technical architecture Flutter: high-performance UI Rust: High performance service Please follow the rules These codes can only be learned and used, and are prohibited for commercial use Do not send Assets to anyone

A comic browser，support Android / iOS / MacOS / Windows / Linux.

comic,acg,ios,flutter,pica,picacg,cosplay,hentai,rust,jmcomic

microsoft/devicescript

DeviceScript TypeScript for Tiny IoT Devices. DeviceScript brings a TypeScript developer experience to low-resource microcontroller-based devices. DeviceScript is compiled to a custom VM bytecode, which can run in very constrained environments. Read the documentation Experimental Project from Microsoft Research - Join the discussions to provide feedback. https://user-images.githubusercontent.com/4175913/228997575-122d6ad0-f37e-4d4e-ab79-3d8f680ed99d.mp4 Contributing Contributions are welcome! See contributing page . Trademarks This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines . Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

TypeScript for Tiny IoT Devices (ESP32, RP2040, ...)

embedded,iot,jacdac,esp32,rp2040,typescript,devicescript

christianversloot/machine-learning-articles

Machine learning articles I wrote these articles about machine learning in the peroid between May 2019 and February 2022. As I'm no longer maintaining MachineCurve.com, I've moved them here so that they remain available for the public. Enjoy!

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

machine-learning,deep-learning,neural-networks,tensorflow,pytorch,scikit-learn,convolutional-neural-networks,gan,gans,transformers

louisfb01/best_AI_papers_2022

2022: A Year Full of Amazing AI papers- A Review 🚀 A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. While the world is still recovering, research hasn't slowed its frenetic pace, especially in the field of artificial intelligence. More, many important aspects were highlighted this year, like the ethical aspects, important biases, governance, transparency and much more. Artificial intelligence and our understanding of the human brain and its link to AI are constantly evolving, showing promising applications improving our life's quality in the near future. Still, we ought to be careful with which technology we choose to apply. "Science cannot tell us what we ought to do, only what we can do." - Jean-Paul Sartre, Being and Nothingness Here's curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the read! The complete reference to each paper is listed at the end of this repository. Star this repository to stay up to date and stay tuned for next year! ⭐️ Maintainer: louisfb01 , also active on YouTube and as a Podcaster if you want to see/hear more about AI! Subscribe to my newsletter - The latest updates in AI explained every week. Feel free to message me any interesting paper I may have missed to add to this repository. Tag me on Twitter @Whats_AI or LinkedIn @Louis (What's AI) Bouchard if you share the list! And come chat with us in our Learn AI Together Discord community ! 👀 If you'd like to support my work , you can check to Sponsor this repository or support me on Patreon . ### Watch a complete 2022 rewind in 8 minutes The Full List Resolution-robust Large Mask Inpainting with Fourier Convolutions [1] Stitch it in Time: GAN-Based Facial Editing of Real Videos [2] NeROIC: Neural Rendering of Objects from Online Image Collections [3] SpeechPainter: Text-conditioned Speech Inpainting [4] Towards real-world blind face restoration with generative facial prior [5] 4D-Net for Learned Multi-Modal Alignment [6] Instant Neural Graphics Primitives with a Multiresolution Hash Encoding [7] Hierarchical Text-Conditional Image Generation with CLIP Latents [8] MyStyle: A Personalized Generative Prior [9] OPT: Open Pre-trained Transformer Language Models [10] BlobGAN: Spatially Disentangled Scene Representations [11] A Generalist Agent [12] Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding [13] Dalle mini [14] No Language Left Behind: Scaling Human-Centered Machine Translation [15] Dual-Shutter Optical Vibration Sensing [16] Make-a-scene: Scene-based text-to-image generation with human priors [17] BANMo: Building Animatable 3D Neural Models from Many Casual Videos [18] High-resolution image synthesis with latent diffusion models [19] Panoptic Scene Graph Generation [20] An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion [21] Expanding Language-Image Pretrained Models for General Video Recognition [22] MAKE-A-VIDEO: TEXT-TO-VIDEO GENERATION WITHOUT TEXT-VIDEO DATA [23] Robust Speech Recognition via Large-Scale Weak Supervision [24] DreamFusion: Text-to-3D using 2D Diffusion [25] Imagic: Text-Based Real Image Editing with Diffusion Models [26] eDiffi: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers [27] InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images [28] Galactica: A Large Language Model for Science [29] Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition [30] ChatGPT: Optimizing Language Models for Dialogue [31] Production-Ready Face Re-Aging for Visual Effects [32] Paper references Resolution-robust Large Mask Inpainting with Fourier Convolutions [1] You’ve most certainly experienced this situation once: You take a great picture with your friend, and someone is photobombing behind you, ruining your future Instagram post. Well, that’s no longer an issue. Either it is a person or a trashcan you forgot to remove before taking your selfie that’s ruining your picture. This AI will just automatically remove the undesired object or person in the image and save your post. It’s just like a professional photoshop designer in your pocket, and with a simple click! This task of removing part of an image and replacing it with what should appear behind has been tackled by many AI researchers for a long time. It is called image inpainting, and it’s extremely challenging... Short Video Explanation: Short read: This AI Removes Unwanted Objects From your Images! Paper: Resolution-robust Large Mask Inpainting with Fourier Convolutions Code Colab Demo Product using LaMa Stitch it in Time: GAN-Based Facial Editing of Real Videos [2] You've most certainly seen movies like the recent Captain Marvel or Gemini Man where Samuel L Jackson and Will Smith appeared to look like they were much younger. This requires hundreds if not thousands of hours of work from professionals manually editing the scenes he appeared in. Instead, you could use a simple AI and do it within a few minutes. Indeed, many techniques allow you to add smiles, make you look younger or older, all automatically using AI-based algorithms. It is called AI-based face manipulations in videos and here's the current state-of-the-art in 2022! Short Video Explanation: Short read: AI Facial Editing of Real Videos ! Stitch it in Time Explained Paper: Stitch it in Time: GAN-Based Facial Editing of Real Videos Code NeROIC: Neural Rendering of Objects from Online Image Collections [3] Neural Rendering. Neural Rendering is the ability to generate a photorealistic model in space just like this one, from pictures of the object, person, or scene of interest. In this case, you’d have a handful of pictures of this sculpture and ask the machine to understand what the object in these pictures should look like in space. You are basically asking a machine to understand physics and shapes out of images. This is quite easy for us since we only know the real world and depths, but it’s a whole other challenge for a machine that only sees pixels. It’s great that the generated model looks accurate with realistic shapes, but what about how it blends in the new scene? And what if the lighting conditions vary in the pictures taken and the generated model looks different depending on the angle you look at it? This would automatically seem weird and unrealistic to us. These are the challenges Snapchat and the University of Southern California attacked in this new research. Short Video Explanation: Short read: Create Realistic 3D Renderings with AI ! Paper: NeROIC: Neural Rendering of Objects from Online Image Collections Code SpeechPainter: Text-conditioned Speech Inpainting [4] We’ve seen image inpainting, which aims to remove an undesirable object from a picture. The machine learning-based techniques do not simply remove the objects, but they also understand the picture and fill the missing parts of the image with what the background should look like. The recent advancements are incredible, just like the results, and this inpainting task can be quite useful for many applications like advertisements or improving your future Instagram post. We also covered an even more challenging task: video inpainting, where the same process is applied to videos to remove objects or people. The challenge with videos comes with staying consistent from frame to frame without any buggy artifacts. But now, what happens if we correctly remove a person from a movie and the sound is still there, unchanged? Well, we may hear a ghost and ruin all our work. This is where a task I never covered on my channel comes in: speech inpainting. You heard it right, researchers from Google just published a paper aiming at inpainting speech, and, as we will see, the results are quite impressive. Okay, we might rather hear than see the results, but you get the point. It can correct your grammar, pronunciation or even remove background noise. All things I definitely need to keep working on, or… simply use their new model… Listen to the examples in my video! Short Video Explanation: Short read: Speech Inpainting with AI ! Paper: SpeechPainter: Text-conditioned Speech Inpainting Listen to more examples Towards real-world blind face restoration with generative facial prior [5] Do you also have old pictures of yourself or close ones that didn’t age well or that you, or your parents, took before we could produce high-quality images? I do, and I felt like those memories were damaged forever. Boy, was I wrong! This new and completely free AI model can fix most of your old pictures in a split second. It works well even with very low or high-quality inputs, which is typically quite the challenge. This week’s paper called Towards Real-World Blind Face Restoration with Generative Facial Prior tackles the photo restoration task with outstanding results. What’s even cooler is that you can try it yourself and in your preferred way. They have open-sourced their code, created a demo and online applications for you to try right now. If the results you’ve seen above aren’t convincing enough, just watch the video and let me know what you think in the comments, I know it will blow your mind! Short Video Explanation: Short read: Impressive photo restoration by AI ! Paper: Towards real-world blind face restoration with generative facial prior Code Colab Demo Online app 4D-Net for Learned Multi-Modal Alignment [6] How do autonomous vehicles see? You’ve probably heard of LiDAR sensors or other weird cameras they are using. But how do they work, how can they see the world, and what do they see exactly compared to us? Understanding how they work is essential if we want to put them on the road, primarily if you work in the government or build the next regulations. But also as a client of these services. We previously covered how Tesla autopilot sees and works, but they are different from conventional autonomous vehicles. Tesla only uses cameras to understand the world, while most of them, like Waymo, use regular cameras and 3D LiDAR sensors. These LiDAR sensors are pretty simple to understand: they won’t produce images like regular cameras but 3D point clouds. LiDAR cameras measure the distance between objects, calculating the pulse laser’s traveling time that they project to the object. Still, how can we efficiently combine this information and have the vehicle understand it? And what does the vehicle end up seeing? Only points everywhere? Is it enough for driving on our roads? We will look into this with a new research paper by Waymo and Google Research... Short Video Explanation: Short read: Combine Lidar and Cameras for 3D object detection - Waymo Paper: 4D-Net for Learned Multi-Modal Alignment Instant Neural Graphics Primitives with a Multiresolution Hash Encoding [7] As if taking a picture wasn’t a challenging enough technological prowess, we are now doing the opposite: modeling the world from pictures. I’ve covered amazing AI-based models that could take images and turn them into high-quality scenes. A challenging task that consists of taking a few images in the 2-dimensional picture world to create how the object or person would look in the real world. Take a few pictures and instantly have a realistic model to insert into your product. How cool is that?! The results have dramatically improved upon the first model I covered in 2020, called NeRF. And this improvement isn’t only about the quality of the results. NVIDIA made it even better. Not only that the quality is comparable, if not better, but it is more than 1'000 times faster with less than two years of research. Short Video Explanation: Short read: NVIDIA Turns Photos into 3D Scenes in Milliseconds Paper: Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Code Hierarchical Text-Conditional Image Generation with CLIP Latents [8] Last year I shared DALL·E, an amazing model by OpenAI capable of generating images from a text input with incredible results. Now is time for his big brother, DALL·E 2. And you won’t believe the progress in a single year! DALL·E 2 is not only better at generating photorealistic images from text. The results are four times the resolution! As if it wasn’t already impressive enough, the recent model learned a new skill; image inpainting. DALL·E could generate images from text inputs. DALL·E 2 can do it better, but it doesn’t stop there. It can also edit those images and make them look even better! Or simply add a feature you want like some flamingos in the background. Sounds interesting? Learn more in the video or read more below! Short Video Explanation: Short read: OpenAI's new model DALL·E 2 is amazing! Paper: Hierarchical Text-Conditional Image Generation with CLIP Latents MyStyle: A Personalized Generative Prior [9] This new model by Google Research and Tel-Aviv University is incredible. You can see it as a very, very powerful deepfake that can do anything. Take a hundred pictures of any person and you have its persona encoded to fix, edit or create any realistic picture you want. This is both amazing and scary if you ask me, especially when you look at the results. Watch the video to see more results and understand how the model works! Short Video Explanation: Short read: Your Personal Photoshop Expert with AI! Paper: MyStyle: A Personalized Generative Prior Code (coming soon) Check out the What's AI podcast for more AI content in the form of interviews with experts in the field! An invited AI expert and I will cover specific topics, sub-fields, and roles related to AI to teach and share knowledge from the people who worked hard to gather it. OPT: Open Pre-trained Transformer Language Models [10] We’ve all heard about GPT-3 and have somewhat of a clear idea of its capabilities. You’ve most certainly seen some applications born strictly due to this model, some of which I covered in a previous video about the model. GPT-3 is a model developed by OpenAI that you can access through a paid API but have no access to the model itself. What makes GPT-3 so strong is both its architecture and size. It has 175 billion parameters. Twice the amount of neurons we have in our brains! This immense network was pretty much trained on the whole internet to understand how we write, exchange, and understand text. This week, Meta has taken a big step forward for the community. They just released a model that is just as powerful, if not more and has completely open-sourced it. Short Video Explanation: Short read: Meta's new model OPT is GPT-3's closest competitor! (and is open source) Paper: OPT: Open Pre-trained Transformer Language Models Code BlobGAN: Spatially Disentangled Scene Representations [11] BlobGAN allows for unreal manipulation of images, made super easily controlling simple blobs. All these small blobs represent an object, and you can move them around or make them bigger, smaller, or even remove them, and it will have the same effect on the object it represents in the image. This is so cool! As the authors shared in their results, you can even create novel images by duplicating blobs, creating unseen images in the dataset like a room with two ceiling fans ! Correct me if I’m wrong, but I believe it is one of, if not the first, paper to make the modification of images as simple as moving blobs around and allowing for edits that were unseen in the training dataset. And you can actually play with this one compared to some companies we all know! They shared their code publicly and a Colab Demo you can try right away. Even more exciting is how BlobGAN works. Learn more in the video! Short Video Explanation: Short read: This is a BIG step for GANs! BlobGAN Explained Paper: BlobGAN: Spatially Disentangled Scene Representations Code Colab Demo A Generalist Agent [12] Gato from DeepMind was just published! It is a single transformer that can play Atari games, caption images, chat with people, control a real robotic arm, and more! Indeed, it is trained once and uses the same weights to achieve all those tasks. And as per Deepmind, this is not only a transformer but also an agent. This is what happens when you mix Transformers with progress on multi-task reinforcement learning agents. Gato is a multi-modal agent. Meaning that it can create captions for images or answer questions as a chatbot. You’d say that GPT-3 can already do that, but Gato can do more… The multi-modality comes from the fact that Gato can also play Atari games at the human level or even do real-world tasks like controlling robotic arms to move objects precisely. It understands words, images, and even physics... Short Video Explanation: Short read: Deepmind's new model Gato is amazing! Paper: A Generalist Agent Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding [13] If you thought Dall-e 2 had great results, wait until you see what this new model from Google Brain can do. Dalle-e is amazing but often lacks realism, and this is what the team attacked with this new model called Imagen. They share a lot of results on their project page as well as a benchmark, which they introduced for comparing text-to-image models, where they clearly outperform Dall-E 2, and previous image generation approaches. Learn more in the video... Short Video Explanation: Short read: Google Brain's Answer to Dalle-e 2: Imagen Paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Project page with results DALL·E Mini [14] Dalle mini is amazing — and YOU can use it! I'm sure you've seen pictures like those in your Twitter feed in the past few days. If you wondered what they were, they are images generated by an AI called DALL·E mini. If you've never seen those, you need to watch this video because you are missing out. If you wonder how this is possible, well, you are on the perfect video and will know the answer in less than five minutes. Dalle mini is a free, open-source AI that produces amazing images from text inputs. Short Video Explanation: Short read: How does dalle-mini work? Code Huggingface official demo No Language Left Behind: Scaling Human-Centered Machine Translation [15] Meta AI’s most recent model, called “No Language Left Behind” does exactly that: translates across 200 different languages with state-of-the-art quality. A single model can handle 200 languages. How incredible is that? We find it difficult to have great results strictly in English while Meta is tackling 200 different languages with the same model, and some of the most complicated and less represented ones that even google translate struggles with... Short Video Explanation: Short read: No Language Left Behind Code Paper: No Language Left Behind Dual-Shutter Optical Vibration Sensing [16] They reconstruct sound using cameras and a laser beam on any vibrating surface, allowing them to isolate music instruments, focus on a specific speaker, remove ambient noises, and many more amazing applications. Short Video Explanation: Short read: CVPR 2022 Best Paper Honorable Mention: Dual-Shutter Optical Vibration Sensing Project page Paper: Dual-Shutter Optical Vibration Sensing Make-a-scene: Scene-based text-to-image generation with human priors [17] Make-A-Scene is not “just another Dalle”. The goal of this new model isn’t to allow users to generate random images following text prompt as dalle does — which is really cool — but restricts the user control on the generations. Instead, Meta wanted to push creative expression forward, merging this text-to-image trend with previous sketch-to-image models, leading to “Make-A-Scene”: a fantastic blend between text and sketch-conditioned image generation. Short Video Explanation: Short read: Produce Amazing Artworks with Text and Sketches! Paper: Make-a-scene: Scene-based text-to-image generation with human priors BANMo: Building Animatable 3D Neural Models from Many Casual Videos [18] Create deformable 3D models from pictures with BANMo! Short Video Explanation: Short read: Build Animatable 3D Models with AI Paper: BANMo: Building Animatable 3D Neural Models from Many Casual Videos Code High-resolution image synthesis with latent diffusion models [19] What do all recent super powerful image models like DALLE, Imagen, or Midjourney have in common? Other than their high computing costs, huge training time, and shared hype, they are all based on the same mechanism: diffusion. Diffusion models recently achieved state-of-the-art results for most image tasks including text-to-image with DALLE but many other image generation-related tasks too, like image inpainting, style transfer or image super-resolution. Short Video Explanation: Short read: Latent Diffusion Models: The Architecture behind Stable Diffusion Paper: High-resolution image synthesis with latent diffusion models Code 👀 If you'd like to support my work , you can check to Sponsor this repository or support me on Patreon . Panoptic Scene Graph Generation [20] Panoptic scene graph generation, or PSG, is a new problem task aiming to generate a more comprehensive graph representation of an image or scene based on panoptic segmentation rather than bounding boxes. It can be used to understand images and generate sentences describing what's happening. This may be the most challenging task for an AI! Learn more below... Short Video Explanation: Short read: One of the Most Challenging Tasks for AI Paper: Panoptic Scene Graph Generation Code Dataset An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion [21] Text-to-Image models like DALLE or stable diffusion are really cool and allow us to generate fantastic pictures with a simple text input. But would it be even cooler to give them a picture of you and ask it to turn it into a painting? Imagine being able to send any picture of an object, person, or even your cat, and ask the model to transform it into another style like turning yourself into a cyborg of into your preferred artistic style or adding it to a new scene. Basically, how cool would it be to have a version of DALLE we can use to photoshop our pictures instead of having random generations? Having a personalized DALLE, while making it much more simple to control the generation as “an image is worth a thousand words”. It would be like having a DALLE model that is just as personalized and addictive as the TikTok algorithm. Well, this is what researchers from Tel Aviv University and NVIDIA worked on. They developed an approach for conditioning text-to-image models, like stable diffusion I covered last week, with a few images to represent any object or concept through the words you will send along your images. Transforming the object of your input images into whatever you want! Short Video Explanation: Short read: Guiding Stable Diffusion with your Images Paper: An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion Code Expanding Language-Image Pretrained Models for General Video Recognition [22] We’ve seen AI generate text, then generate images and most recently even generate short videos, even though they still need work. The results are incredible when you think that no one is actually involved in the creation process of these pieces and it only has to be trained once to then be used by thousands of people like stable diffusion is. Still, do these models really understand what they are doing? Do they know what the picture or video they just produced really represents? What does such a model understand when it sees such a picture or, even more complex, a video? Short Video Explanation: Short read: General Video Recognition with AI Paper: Expanding Language-Image Pretrained Models for General Video Recognition Code MAKE-A-VIDEO: TEXT-TO-VIDEO GENERATION WITHOUT TEXT-VIDEO DATA [23] Meta AI’s new model make-a-video is out and in a single sentence: it generates videos from text. It’s not only able to generate videos, but it’s also the new state-of-the-art method, producing higher quality and more coherent videos than ever before! Short Video Explanation: Short read: Make-a-video: The AI Film Maker! Paper: MAKE-A-VIDEO: TEXT-TO-VIDEO GENERATION WITHOUT TEXT-VIDEO DATA Code Robust Speech Recognition via Large-Scale Weak Supervision [24] Have you ever dreamed of a good transcription tool that would accurately understand what you say and write it down? Not like the automatic YouTube translation tools… I mean, they are good but far from perfect. Just try it out and turn the feature on for the video, and you’ll see what I’m talking about. Luckily, OpenAI just released and open-sourced a pretty powerful AI model just for that: Whisper. It understands stuff I can’t even comprehend, not being a native English speaker (listen in the video) and it works for language translation too! Short Video Explanation: Short read: OpenAI's Most Recent Model: Whisper (explained) Paper: Robust Speech Recognition via Large-Scale Weak Supervision Code DreamFusion: Text-to-3D using 2D Diffusion [25] We’ve seen models able to take a sentence and generate images. Then, other approaches to manipulate the generated images by learning specific concepts like an object or particular style. Last week Meta published the Make-A-Video model that I covered, which allows you to generate a short video also from a text sentence. The results aren’t perfect yet, but the progress we’ve made in the field since last year is just incredible. This week we make another step forward. Here’s DreamFusion, a new Google Research model that can understand a sentence enough to generate a 3D model of it. You can see this as a DALLE or Stable Diffusion but in 3D. Short Video Explanation: Short read: 3D Models from Text! DreamFusion Explained Paper: DreamFusion: Text-to-3D using 2D Diffusion Imagic: Text-Based Real Image Editing with Diffusion Models [26] If you think the recent image generation models like DALLE or Stable Diffusion are cool, you just won’t believe how incredible this one is. "This one" is Imagic. Imagic takes such a diffusion-based model able to take text and generate images out of it and adapts the model to edit the images. You can generate an image and then teach the model to edit it any way you want. Short Video Explanation: Short read: AI Image Editing from Text! Imagic Explained Paper: Imagic: Text-Based Real Image Editing with Diffusion Models Stable Diffusion implementation eDiffi: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers [27] eDiffi, NVIDIA's most recent model, generates better-looking and more accurate images than all previous approaches like DALLE 2 or Stable Diffusion. eDiffi better understands the text you send and is more customizable, adding a feature we saw in a previous paper from NVIDIA: the painter tool. Short Video Explanation: Short read: eDiffi explained: New SOTA Image Synthesis model! Paper: eDiffi: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers 👀 If you'd like to support my work , you can check to Sponsor this repository or support me on Patreon . InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images [28] Generate infinite new frames as if you would be flying into your image! Short Video Explanation: Short read: InfiniteNature-Zero: Fly Into Your Pictures With AI! Paper: InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images Code Galactica: A Large Language Model for Science [29] Galactica is a large language model with a size comparable to GPT-3, but specialized on scientific knowledge. The model can write whitepapers, reviews, Wikipedia pages, and code. It knows how to cite and how to write equations. It’s kind of a big deal for AI and science. Short Video Explanation: Short read: Galactica: What is it and What Happened? Paper: Galactica: A Large Language Model for Science Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition [30] From a single video, they can synthesize the person talking for pretty much any word or sentence in real time with better quality. You can animate a talking head following any audio track in real-time. Short Video Explanation: Short read: From Audio to Talking Heads in Real-Time with AI! RAD-NeRF explained Paper: Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition ChatGPT: Optimizing Language Models for Dialogue [31] ChatGPT has taken over Twitter and pretty much the whole internet, thanks to its power and the meme potential it provides. We all know how being able to generate memes is the best way to conquer the internet, and so it worked. Since you’ve seen numerous examples, you might already know that ChatGPT is an AI recently released to the public by OpenAI, that you can chat with. It is also called a chatbot, meaning you can interact with it conversationally, imitatting a one-on-one human discussion. What you might not know is what it is and how it works... Watch the video or read the article or blog post below to learn more! Short Video Explanation: Short read: What is ChatGPT? Blog Post: ChatGPT: Optimizing Language Models for Dialogue Production-Ready Face Re-Aging for Visual Effects [32] Whether it be for fun in a Snapchat filter, for a movie, or even to remove a few wrinkles, we all have a utility in mind for being able to change our age in a picture. This is usually done by skilled artists using Photoshop or a similar tool to edit your pictures. Worst, in a video, they have to do this kind of manual editing for every frame! Just imagine the amount of work needed for that. Well, here’s a solution and a new problem to this situation... 👇 Short Video Explanation: Short read: Automatic Re-Aging with AI! Disney’s FRAN Model Explained Blog Post: Production-Ready Face Re-Aging for Visual Effects If you would like to read more papers and have a broader view, here is another great repository for you covering 2021: 2021: A Year Full of Amazing AI papers- A Review and feel free to subscribe to my weekly newsletter and stay up-to-date with new publications in AI for 2022! Tag me on Twitter @Whats_AI or LinkedIn @Louis (What's AI) Bouchard if you share the list! Paper references [1] Suvorov, R., Logacheva, E., Mashikhin, A., Remizova, A., Ashukha, A., Silvestrov, A., Kong, N., Goka, H., Park, K. and Lempitsky, V., 2022. Resolution-robust Large Mask Inpainting with Fourier Convolutions. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 2149–2159)., https://arxiv.org/pdf/2109.07161.pdf [2] Tzaban, R., Mokady, R., Gal, R., Bermano, A.H. and Cohen-Or, D., 2022. Stitch it in Time: GAN-Based Facial Editing of Real Videos. https://arxiv.org/abs/2201.08361 [3] Kuang, Z., Olszewski, K., Chai, M., Huang, Z., Achlioptas, P. and Tulyakov, S., 2022. NeROIC: Neural Rendering of Objects from Online Image Collections. https://arxiv.org/pdf/2201.02533.pdf [4] Borsos, Z., Sharifi, M. and Tagliasacchi, M., 2022. SpeechPainter: Text-conditioned Speech Inpainting. https://arxiv.org/pdf/2202.07273.pdf [5] Wang, X., Li, Y., Zhang, H. and Shan, Y., 2021. Towards real-world blind face restoration with generative facial prior. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 9168–9178), https://arxiv.org/pdf/2101.04061.pdf [6] Piergiovanni, A.J., Casser, V., Ryoo, M.S. and Angelova, A., 2021. 4d-net for learned multi-modal alignment. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 15435–15445), https://openaccess.thecvf.com/content/ICCV2021/papers/Piergiovanni_4D-Net_for_Learned_Multi-Modal_Alignment_ICCV_2021_paper.pdf. [7] Thomas Muller, Alex Evans, Christoph Schied and Alexander Keller, 2022, "Instant Neural Graphics Primitives with a Multiresolution Hash Encoding", https://nvlabs.github.io/instant-ngp/assets/mueller2022instant.pdf [8] A. Ramesh et al., 2022, "Hierarchical Text-Conditional Image Generation with CLIP Latents", https://cdn.openai.com/papers/dall-e-2.pdf [9] Nitzan, Y., Aberman, K., He, Q., Liba, O., Yarom, M., Gandelsman, Y., Mosseri, I., Pritch, Y. and Cohen-Or, D., 2022. MyStyle: A Personalized Generative Prior. arXiv preprint arXiv:2203.17272. [10] Zhang, Susan et al. “OPT: Open Pre-trained Transformer Language Models.” https://arxiv.org/abs/2205.01068 [11] Epstein, D., Park, T., Zhang, R., Shechtman, E. and Efros, A.A., 2022. BlobGAN: Spatially Disentangled Scene Representations. arXiv preprint arXiv:2205.02837. [12] Reed S. et al., 2022, Deemind: Gato - A generalist agent, https://storage.googleapis.com/deepmind-media/A%20Generalist%20Agent/Generalist%20Agent.pdf [13] Saharia et al., 2022, Google Brain, Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding, https://gweb-research-imagen.appspot.com/paper.pdf [14] Dayma, et al., 2021, DALL·E Mini, doi:10.5281/zenodo.5146400 [15] NLLB Team et al., 2022, No Language Left Behind: Scaling Human-Centered Machine Translation [16] Sheinin, Mark and Chan, Dorian and O’Toole, Matthew and Narasimhan, Srinivasa G., 2022, Dual-Shutter Optical Vibration Sensing, Proc. IEEE CVPR. [17] Gafni, O., Polyak, A., Ashual, O., Sheynin, S., Parikh, D. and Taigman, Y., 2022. Make-a-scene: Scene-based text-to-image generation with human priors. https://arxiv.org/pdf/2203.13131.pdf [18] Yang, G., Vo, M., Neverova, N., Ramanan, D., Vedaldi, A. and Joo, H., 2022. Banmo: Building animatable 3d neural models from many casual videos. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2863-2873). [19] Rombach, R., Blattmann, A., Lorenz, D., Esser, P. and Ommer, B., 2022. High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10684–10695), https://arxiv.org/pdf/2112.10752.pdf [20] Yang, J., Ang, Y.Z., Guo, Z., Zhou, K., Zhang, W. and Liu, Z., 2022. Panoptic Scene Graph Generation. arXiv preprint arXiv:2207.11247. [21] Gal, R., Alaluf, Y., Atzmon, Y., Patashnik, O., Bermano, A.H., Chechik, G. and Cohen-Or, D., 2022. An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion. [22] Ni, B., Peng, H., Chen, M., Zhang, S., Meng, G., Fu, J., Xiang, S. and Ling, H., 2022. Expanding Language-Image Pretrained Models for General Video Recognition. arXiv preprint arXiv:2208.02816. [23] Singer et al. (Meta AI), 2022, “MAKE-A-VIDEO: TEXT-TO-VIDEO GENERATION WITHOUT TEXT-VIDEO DATA”, https://makeavideo.studio/Make-A-Video.pdf [24] Radford, A., Kim, J.W., Xu, T., Brockman, G., McLeavey, C. and Sutskever, I., Robust Speech Recognition via Large-Scale Weak Supervision. [25] Poole, B., Jain, A., Barron, J.T. and Mildenhall, B., 2022. DreamFusion: Text-to-3D using 2D Diffusion. arXiv preprint arXiv:2209.14988. [26] Kawar, B., Zada, S., Lang, O., Tov, O., Chang, H., Dekel, T., Mosseri, I. and Irani, M., 2022. Imagic: Text-Based Real Image Editing with Diffusion Models. arXiv preprint arXiv:2210.09276. [27] Balaji, Y. et al., 2022, eDiffi: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers, https://arxiv.org/abs/2211.01324 [28] Li, Z., Wang, Q., Snavely, N. and Kanazawa, A., 2022. InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images. In European Conference on Computer Vision (pp. 515–534). Springer, Cham, https://arxiv.org/abs/2207.11148 [29] Taylor et al., 2022: Galactica: A Large Language Model for Science, https://galactica.org/ [30] Tang, J., Wang, K., Zhou, H., Chen, X., He, D., Hu, T., Liu, J., Zeng, G. and Wang, J., 2022. Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition. arXiv preprint arXiv:2211.12368. [31] OpenAI, 2022: ChatGPT: Optimizing Language Models for Dialogue, https://openai.com/blog/chatgpt/ [32] Loss et al., DisneyResearch, 2022: FRAN, https://studios.disneyresearch.com/2022/11/30/production-ready-face-re-aging-for-visual-effects/

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

python,computer-vision,computer-science,deep-learning,machine-learning,artificial-intelligence,ai,paper,technology,innovation

paperswithbacktest/awesome-systematic-trading

Awesome Systematic Trading 希望阅读中文版？点我 We are collecting a list of resources papers, softwares, books, articles for finding, developing, and running systematic trading (quantitative trading) strategies. What will you find here? 97 libraries and packages for research and live trading 696 strategies described by institutionals and academics 55 books for beginners and professionals 23 videos and interviews And also some blogs and courses 📈 Interested in trading strategies implemented in Python? Visit our comprehensive collection at paperswithbacktest.com for exclusive content! Click here to see the full table of content - [Libraries and packages](#libraries-and-packages) - [Backtesting and Live Trading](#backtesting-and-live-trading) - [General - Event Driven Frameworks](#general---event-driven-frameworks) - [General - Vector Based Frameworks](#general---vector-based-frameworks) - [Cryptocurrencies](#cryptocurrencies) - [Trading bots](#trading-bots) - [Analytics](#analytics) - [Indicators](#indicators) - [Metrics computation](#metrics-computation) - [Optimization](#optimization) - [Pricing](#pricing) - [Risk](#risk) - [Broker APIs](#broker-apis) - [Data Sources](#data-sources) - [General](#general) - [Cryptocurrencies](#cryptocurrencies-1) - [Data Science](#data-science) - [Databases](#databases) - [Graph Computation](#graph-computation) - [Machine Learning](#machine-learning) - [TimeSeries Analysis](#timeseries-analysis) - [Visualization](#visualization) - [Strategies](#strategies) - [Bonds, commodities, currencies, equities](#bonds-commodities-currencies-equities) - [Bonds, commodities, equities, REITs](#bonds-commodities-equities-reits) - [Bonds, equities](#bonds-equities) - [Bonds, equities, REITs](#bonds-equities-reits) - [Commodities](#commodities) - [Cryptos](#cryptos) - [Currencies](#currencies) - [Equities](#equities) - [Books](#books) - [Beginner](#beginner) - [Biography](#biography) - [Coding](#coding) - [Crypto](#crypto) - [General](#general-1) - [High Frequency Trading](#high-frequency-trading) - [Machine Learning](#machine-learning-1) - [Videos](#videos) - [Blogs](#blogs) - [Courses](#courses) How can I help? You can help by submitting an issue with suggestions and by sharing on Twitter: Libraries and packages List of 97 libraries and packages implementing trading bots, backtesters, indicators, pricers, etc. Each library is categorized by its programming language and ordered by descending populatrity (number of stars). Backtesting and Live Trading General - Event Driven Frameworks | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | vnpy | Python-based open source quantitative trading system development framework, officially released in January 2015, has grown step by step into a full-featured quantitative trading platform | | | | zipline | Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. | | | | backtrader | Event driven Python Backtesting library for trading strategies | | | | QUANTAXIS | QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案 | | | | QuantConnect | Lean Algorithmic Trading Engine by QuantConnect (Python, C#) | | | | Rqalpha | A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities | | | | finmarketpy | Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians) | | | | backtesting.py | Backtesting.py is a Python framework for inferring viability of trading strategies on historical (past) data. Improved upon the vision of Backtrader, and by all means surpassingly comparable to other accessible alternatives, Backtesting.py is lightweight, fast, user-friendly, intuitive, interactive, intelligent and, hopefully, future-proof. | | | | zvt | Modular quant framework | | | | WonderTrader | WonderTrader——量化研发交易一站式框架 | | | | nautilus_trader | A high-performance algorithmic trading platform and event-driven backtester | | | | PandoraTrader | High-frequency quantitative trading platform based on c++ development, supporting multiple trading APIs and cross-platform | | | | HFTBacktest | Highly precise backtest on HFT data in Python+Numba | | | | aat | An asynchronous, event-driven framework for writing algorithmic trading strategies in python with optional acceleration in C++. It is designed to be modular and extensible, with support for a wide variety of instruments and strategies, live trading across (and between) multiple exchanges. | | | | sdoosa-algo-trade-python | This project is mainly for newbies into algo trading who are interested in learning to code their own trading algo using python interpreter. | | | | lumibot | A very simple yet useful backtesting and sample based live trading framework (a bit slow to run...) | | | | quanttrader | Backtest and live trading in Python. Event based. Similar to backtesting.py. | | | | gobacktest | A Go implementation of event-driven backtesting framework | | | | FlashFunk | High Performance Runtime in Rust | | | General - Vector Based Frameworks | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | vectorbt | vectorbt takes a novel approach to backtesting: it operates entirely on pandas and NumPy objects, and is accelerated by Numba to analyze any data at speed and scale. This allows for testing of many thousands of strategies in seconds. | | | | pysystemtrade | Systematic Trading in python from book Systematic Trading by Rob Carver | | | | bt | Flexible backtesting for Python based on Algo and Strategy Tree | | | Cryptocurrencies | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | Freqtrade | Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning. | | | | Jesse | Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies. | | | | OctoBot | Cryptocurrency trading bot for TA, arbitrage and social trading with an advanced web interface | | | | Kelp | Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges | | | | openlimits | A Rust high performance cryptocurrency trading API with support for multiple exchanges and language wrappers. | | | | bTrader | Triangle arbitrage trading bot for Binance | | | | crypto-crawler-rs | Crawl orderbook and trade messages from crypto exchanges | | | | Hummingbot | A client for crypto market making | | | | cryptotrader-core | Simple to use Crypto Exchange REST API client in rust. | | | Trading bots Trading bots and alpha models. Some of them are old and not maintained. | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | Blackbird | Blackbird Bitcoin Arbitrage: a long/short market-neutral strategy | | | | bitcoin-arbitrage | Bitcoin arbitrage - opportunity detector | | | | ThetaGang | ThetaGang is an IBKR bot for collecting money | | | | czsc | 缠中说禅技术分析工具；缠论；股票；期货；Quant；量化交易 | | | | R2 Bitcoin Arbitrager | R2 Bitcoin Arbitrager is an automatic arbitrage trading system powered by Node.js + TypeScript | | | | analyzingalpha | Implementation of simple strategies | | | | PyTrendFollow | PyTrendFollow - systematic futures trading using trend following | | | Analytics Indicators Libraries of indicators to predict future price movements. | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | ta-lib | Perform technical analysis of financial market data | | | | go-tart | A Go implementation of the [ta-lib]((https://github.com/mrjbq7/ta-lib) with streaming update support | | | | pandas-ta | Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns | | | | finta | Common financial technical indicators implemented in Pandas | | | | ta-rust | Technical analysis library for Rust language | | | Metrics computation Librairies of financial metrics. | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | quantstats | Portfolio analytics for quants, written in Python | | | | ffn | A financial function library for Python | | | Optimization | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | PyPortfolioOpt | Financial portfolio optimizations in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity | | | | Riskfolio-Lib | Portfolio Optimization and Quantitative Strategic Asset Allocation in Python | | | | empyrial | Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors, officially released in March 2021 | | | | Deepdow | Python package connecting portfolio optimization and deep learning. Its goal is to facilitate research of networks that perform weight allocation in one forward pass. | | | | spectre | Portfolio Optimization and Quantitative Strategic Asset Allocation in Python | | | Pricing | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | tf-quant-finance | High-performance TensorFlow library for quantitative finance from Google | | | | FinancePy | A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives | | | | PyQL | Python wrapper of the famous pricing library QuantLib | | | Risk | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | pyfolio | Portfolio and risk analytics in Python | | | Broker APIs | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | ccxt | A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges | | | | Ib_insync | Python sync/async framework for Interactive Brokers. | | | | Coinnect | Coinnect is a Rust library aiming to provide a complete access to main crypto currencies exchanges via REST API. | | | | PENDAX | Javascript SDK for Trading, Data, and Websockets for FTX, FTXUS, OKX, Bybit, & More. | | | Data Sources General | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | OpenBB Terminal | Investment Research for Everyone, Anywhere. | | | | TuShare | TuShare is a utility for crawling historical data of China stocks | | | | yfinance | yfinance offers a threaded and Pythonic way to download market data from Yahoo!Ⓡ finance. | | | | AkShare | AKShare is an elegant and simple financial data interface library for Python, built for human beings! | | | | pandas-datareader | Up to date remote data access for pandas, works for multiple versions of pandas. | | | | Quandl | Get millions of financial and economic dataset from hundreds of publishers via a single free API. | | | | findatapy | findatapy creates an easy to use Python API to download market data from many sources including Quandl, Bloomberg, Yahoo, Google etc. using a unified high level interface. | | | | Investpy | Financial Data Extraction from Investing.com with Python | | | | Fundamental Analysis Data | Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 20.000+ companies. | | | | Wallstreet | Wallstreet: Real time Stock and Option tools | | | Cryptocurrencies | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | Cryptofeed | Cryptocurrency Exchange Websocket Data Feed Handler with Asyncio | | | | Gekko-Datasets | Gekko trading bot dataset dumps. Download and use history files in SQLite format. | | | | CryptoInscriber | A live crypto currency historical trade data blotter. Download live historical trade data from any crypto exchange. | | | | Crypto Lake | High frequency order book & trade data for crypto | | | Data Science | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | TensorFlow | Fundamental algorithms for scientific computing in Python | | | | Pytorch | Tensors and Dynamic neural networks in Python with strong GPU acceleration | | | | Keras | The most user friendly Deep Learning for humans in Python | | | | Scikit-learn | Machine learning in Python | | | | Pandas | Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more | | | | Numpy | The fundamental package for scientific computing with Python | | | | Scipy | Fundamental algorithms for scientific computing in Python | | | | PyMC | Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara | | | | Cvxpy | A Python-embedded modeling language for convex optimization problems. | | | Databases | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | Marketstore | DataFrame Server for Financial Timeseries Data | | | | Tectonicdb | Tectonicdb is a fast, highly compressed standalone database and streaming protocol for order book ticks. | | | | ArcticDB (Man Group) | High performance datastore for time series and tick data | | | Graph Computation | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | Ray | An open source framework that provides a simple, universal API for building distributed applications. | | | | Dask | Parallel computing with task scheduling in Python with a Pandas like API | | | | Incremental (JaneStreet) | Incremental is a library that gives you a way of building complex computations that can update efficiently in response to their inputs changing, inspired by the work of Umut Acar et. al. on self-adjusting computations. Incremental can be useful in a number of applications | | | | Man MDF | Data-flow programming toolkit for Python | | | | GraphKit | A lightweight Python module for creating and running ordered graphs of computations. | | | | Tributary | Streaming reactive and dataflow graphs in Python | | | Machine Learning | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | QLib (Microsoft) | Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib. | | | | FinRL | FinRL is the first open-source framework to demonstrate the great potential of applying deep reinforcement learning in quantitative finance. | | | | MlFinLab (Hudson & Thames) | MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools. | | | | TradingGym | Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo. | | | | Stock Trading Bot using Deep Q-Learning | Stock Trading Bot using Deep Q-Learning | | | TimeSeries Analysis | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | Facebook Prophet | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. | | | | statsmodels | Python module that allows users to explore data, estimate statistical models, and perform statistical tests. | | | | tsfresh | Automatic extraction of relevant features from time series. | | | | pmdarima | A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function. | | | Visualization | Repository | Description | Stars | Made with | |------------|-------------|-------|-----------| | D-Tale (Man Group) | D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures. | | | | mplfinance | Financial Markets Data Visualization using Matplotlib | | | | btplotting | btplotting provides plotting for backtests, optimization results and live data from backtrader. | | | Strategies List of 696 academic papers describing original systematic trading strategies. Each strategy is categorized by its asset class and ordered by descending Sharpe ratio. 👉 Strategies are now hosted here : Bonds strategies (7) Commodities strategies (50) Cryptocurrencies strategies (12) Currencies strategies (67) Equities strategies (471) Options strategies (8) Bonds / Commodities / Currencies / Equities strategies (22) Bonds / Commodities / Equities strategies (6) Bonds / Commodities / Equities / REITs strategies (6) Bonds / Equities strategies (13) Bonds / Equities / REITs strategies (6) Commodities / Equities strategies (3) Equities / Options strategies (24) Equities / REITs strategies (1) Previous list of strategies: Bonds, commodities, currencies, equities | Title | Sharpe Ratio | Volatility | Rebalancing | Implementation | Source | |-------------|--------------|------------|-------------|----------------|--------| | Time Series Momentum Effect | 0.576 | 20.5% | Monthly | QuantConnect | Paper | | Short Term Reversal with Futures | -0.05 | 12.3% | Weekly | QuantConnect | Paper | Bonds, commodities, equities, REITs | Title | Sharpe Ratio | Volatility | Rebalancing | Implementation | Source | |--------------|--------------|------------|-------------|----------------|--------| | Asset Class Trend-Following | 0.502 | 10.4% | Monthly | QuantConnect | Paper | | Momentum Asset Allocation Strategy | 0.321 | 11% | Monthly | QuantConnect | Paper | Bonds, equities | Title | Sharpe Ratio | Volatility | Rebalancing | Implementation | Source | |--------------|--------------|------------|-------------|----------------|--------| | Paired Switching | 0.691 | 9.5% | Quarterly | QuantConnect | Paper | | FED Model | 0.369 | 14.3% | Monthly | QuantConnect | Paper | Bonds, equities, REITs | Title | Sharpe Ratio | Volatility | Rebalancing | Implementation | Source | |--------------|--------------|------------|-------------|----------------|--------| | Value and Momentum Factors across Asset Classes | 0.155 | 9.8% | Monthly | QuantConnect | Paper | Commodities | Title | Sharpe Ratio | Volatility | Rebalancing | Implementation | Source | |--------------|--------------|------------|-------------|----------------|--------| | Skewness Effect in Commodities | 0.482 | 17.7% | Monthly | QuantConnect | Paper | | Return Asymmetry Effect in Commodity Futures | 0.239 | 13.4% | Monthly | QuantConnect | Paper | | Momentum Effect in Commodities | 0.14 | 20.3% | Monthly | QuantConnect | Paper | | Term Structure Effect in Commodities | 0.128 | 23.1% | Monthly | QuantConnect | Paper | | Trading WTI/BRENT Spread | -0.199 | 11.6% | Daily | QuantConnect | Paper | Cryptos | Title | Sharpe Ratio | Volatility | Rebalancing | Implementation | Source | |--------------|--------------|------------|-------------|----------------|--------| | Overnight Seasonality in Bitcoin | 0.892 | 20.8% | Intraday | QuantConnect | Paper | | Rebalancing Premium in Cryptocurrencies | 0.698 | 27.5% | Daily | QuantConnect | Paper | Currencies | Title | Sharpe Ratio | Volatility | Rebalancing | Implementation | Source | |--------------|--------------|------------|-------------|----------------|--------| | FX Carry Trade | 0.254 | 7.8% | Monthly | QuantConnect | Paper | | Dollar Carry Trade | 0.113 | 5.8% | Monthly | QuantConnect | Paper | | Currency Momentum Factor | -0.01 | 6.7% | Monthly | QuantConnect | Paper | | Currency Value Factor – PPP Strategy | -0.103 | 5% | Quarterly | QuantConnect | Paper | Equities | Title | Sharpe Ratio | Volatility | Rebalancing | Implementation | Source | |--------------|--------------|------------|-------------|----------------|--------| | Asset Growth Effect | 0.835 | 10.2% | Yearly | QuantConnect | Paper | | Short Term Reversal Effect in Stocks | 0.816 | 21.4% | Weekly | QuantConnect | Paper | | Reversal During Earnings-Announcements | 0.785 | 25.7% | Daily | QuantConnect | Paper | | Size Factor – Small Capitalization Stocks Premium | 0.747 | 11.1% | Yearly | QuantConnect | Paper | | Low Volatility Factor Effect in Stocks | 0.717 | 11.5% | Monthly | QuantConnect | Paper | | How to Use Lexical Density of Company Filings | 0.688 | 10.4% | Monthly | QuantConnect | Paper | | Volatility Risk Premium Effect | 0.637 | 13.2% | Monthly | QuantConnect | Paper | | Pairs Trading with Stocks | 0.634 | 8.5% | Daily | QuantConnect | Paper | | Crude Oil Predicts Equity Returns | 0.599 | 11.5% | Monthly | QuantConnect | Paper | | Betting Against Beta Factor in Stocks | 0.594 | 18.9% | Monthly | QuantConnect | Paper | | Trend-following Effect in Stocks | 0.569 | 15.2% | Daily | QuantConnect | Paper | | ESG Factor Momentum Strategy | 0.559 | 21.8% | Monthly | QuantConnect | Paper | | Value (Book-to-Market) Factor | 0.526 | 11.9% | Monthly | QuantConnect | Paper | | Soccer Clubs’ Stocks Arbitrage | 0.515 | 14.2% | Daily | QuantConnect | Paper | | Synthetic Lending Rates Predict Subsequent Market Return | 0.494 | 13.7% | Daily | QuantConnect | Paper | | Option-Expiration Week Effect | 0.452 | 5% | Weekly | QuantConnect | Paper | | Dispersion Trading | 0.432 | 8.1% | Monthly | QuantConnect | Paper | | Momentum in Mutual Fund Returns | 0.414 | 13.6% | Quarterly | QuantConnect | Paper | | Sector Momentum – Rotational System | 0.401 | 14.1% | Monthly | QuantConnect | Paper | | Combining Smart Factors Momentum and Market Portfolio | 0.388 | 8.2% | Monthly | QuantConnect | Paper | | Momentum and Reversal Combined with Volatility Effect in Stocks | 0.375 | 17% | Monthly | QuantConnect | Paper | | Market Sentiment and an Overnight Anomaly | 0.369 | 3.6% | Daily | QuantConnect | Paper | | January Barometer | 0.365 | 7.4% | Monthly | QuantConnect | Paper | | R&D Expenditures and Stock Returns | 0.354 | 8.1% | Yearly | QuantConnect | Paper | | Value Factor – CAPE Effect within Countries | 0.351 | 20.2% | Yearly | QuantConnect | Paper | | 12 Month Cycle in Cross-Section of Stocks Returns | 0.34 | 43.7% | Monthly | QuantConnect | Paper | | Turn of the Month in Equity Indexes | 0.305 | 7.2% | Daily | QuantConnect | Paper | | Payday Anomaly | 0.269 | 3.8% | Daily | QuantConnect | Paper | | Pairs Trading with Country ETFs | 0.257 | 5.7% | Daily | QuantConnect | Paper | | Residual Momentum Factor | 0.24 | 9.7% | Monthly | QuantConnect | Paper | | Earnings Announcement Premium | 0.192 | 3.7% | Monthly | QuantConnect | Paper | | ROA Effect within Stocks | 0.155 | 8.7% | Monthly | QuantConnect | Paper | | 52-Weeks High Effect in Stocks | 0.153 | 19% | Monthly | QuantConnect | Paper | | Combining Fundamental FSCORE and Equity Short-Term Reversals | 0.153 | 17.6% | Monthly | QuantConnect | Paper | | Betting Against Beta Factor in International Equities | 0.142 | 9.1% | Monthly | QuantConnect | Paper | | Consistent Momentum Strategy | 0.128 | 28.8% | 6 Months | QuantConnect | Paper | | Short Interest Effect – Long-Short Version | 0.079 | 6.6% | Monthly | QuantConnect | Paper | | Momentum Factor Combined with Asset Growth Effect | 0.058 | 25.1% | Monthly | QuantConnect | Paper | | Momentum Factor Effect in Stocks | -0.008 | 21.8% | Monthly | QuantConnect | Paper | | Momentum Factor and Style Rotation Effect | -0.056 | 10% | Monthly | QuantConnect | Paper | | Earnings Announcements Combined with Stock Repurchases | -0.16 | 0.1% | Daily | QuantConnect | Paper | | Earnings Quality Factor | -0.18 | 28.7% | Yearly | QuantConnect | Paper | | Accrual Anomaly | -0.272 | 13.7% | Yearly | QuantConnect | Paper | | ESG, Price Momentum and Stochastic Optimization | N/A | N/A | Monthly | | Paper | | The Positive Similarity of Company Filings and Stock Returns | N/A | N/A | Monthly | | Paper | Books A comprehensive list of 55 books for quantitative traders. Beginner | Title | Reviews | Rating | |----------|---------|--------| | A Beginner’s Guide to the Stock Market: Everything You Need to Start Making Money Today - Matthew R. Kratter | | | | How to Day Trade for a Living: A Beginner’s Guide to Trading Tools and Tactics, Money Management, Discipline and Trading Psychology - Andrew Aziz | | | | The Little Book of Common Sense Investing: The Only Way to Guarantee Your Fair Share of Stock Market Returns - John C. Bogle | | | | Investing QuickStart Guide: The Simplified Beginner’s Guide to Successfully Navigating the Stock Market, Growing Your Wealth & Creating a Secure Financial Future - Ted D. Snow | | | | Day Trading QuickStart Guide: The Simplified Beginner’s Guide to Winning Trade Plans, Conquering the Markets, and Becoming a Successful Day Trader - Troy Noonan | | | | Introduction To Algo Trading: How Retail Traders Can Successfully Compete With Professional Traders - Kevin J Davey | | | | Algorithmic Trading and DMA: An introduction to direct access trading strategies - Barry Johnson | | | Biography | Title | Reviews | Rating | |----------|---------|--------| | My Life as a Quant: Reflections on Physics and Finance - Emanuel Derman | | | | How I Became a Quant: Insights from 25 of Wall Street’s Elite: - Barry Schachter | | | Coding | Title | Reviews | Rating | |----------|---------|--------| | Python for Finance: Mastering Data-Driven Finance - Yves Hilpisch | | | | Trading Evolved: Anyone can Build Killer Trading Strategies in Python - Andreas F. Clenow | | | | Python for Algorithmic Trading: From Idea to Cloud Deployment - Yves Hilpisch | | | | Algorithmic Trading with Python: Quantitative Methods and Strategy Development - Chris Conlan | | | | Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis - Sebastien Donadio | | | Crypto | Title | Reviews | Rating | |----------|---------|--------| | The Bitcoin Standard: The Decentralized Alternative to Central Banking - Saifedean Ammous | | | | Bitcoin Billionaires: A True Story of Genius, Betrayal, and Redemption - Ben Mezrich | | | | Mastering Bitcoin: Programming the Open Blockchain - Andreas M. Antonopoulos | | | | Why Buy Bitcoin: Investing Today in the Money of Tomorrow - Andy Edstrom | | | General | Title | Reviews | Rating | |----------|---------|--------| | The Intelligent Investor: The Definitive Book on Value Investing - Benjamin Graham, Jason Zweig | | | | How I Invest My Money: Finance experts reveal how they save, spend, and invest - Joshua Brown, Brian Portnoy | | | | Naked Forex: High-Probability Techniques for Trading Without Indicators - Alex Nekritin | | | | The Four Pillars of Investing: Lessons for Building a Winning Portfolio - William J. Bernstein | | | | Option Volatility and Pricing: Advanced Trading Strategies and Techniques, 2nd Edition - Sheldon Natenberg | | | | The Art and Science of Technical Analysis: Market Structure, Price Action, and Trading Strategies - Adam Grimes | | | | The New Trading for a Living: Psychology, Discipline, Trading Tools and Systems, Risk Control, Trade Management (Wiley Trading) - Alexander Elder | | | | Building Winning Algorithmic Trading Systems: A Trader’s Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading) - Kevin J Davey | | | | Systematic Trading: A unique new method for designing trading and investing systems - Robert Carver | | | | Quantitative Momentum: A Practitioner’s Guide to Building a Momentum-Based Stock Selection System (Wiley Finance) - Wesley R. Gray, Jack R. Vogel | | | | Algorithmic Trading: Winning Strategies and Their Rationale - Ernest P. Chan | | | | Leveraged Trading: A professional approach to trading FX, stocks on margin, CFDs, spread bets and futures for all traders - Robert Carver | | | | Trading Systems: A New Approach to System Development and Portfolio Optimisation - Emilio Tomasini, Urban Jaekle | | | | Trading and Exchanges: Market Microstructure for Practitioners - Larry Harris | | | | Trading Systems 2nd edition: A new approach to system development and portfolio optimisation - Emilio Tomasini, Urban Jaekle | | | | Machine Trading: Deploying Computer Algorithms to Conquer the Markets - Ernest P. Chan | | | | Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill Library of Investment and Finance) - Ludwig B Chincarini, Daehwan Kim | | | | Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Controlling Risk - Richard Grinold, Ronald Kahn | | | | Quantitative Technical Analysis: An integrated approach to trading system development and trading management - Dr Howard B Bandy | | | | Advances in Active Portfolio Management: New Developments in Quantitative Investing - Richard Grinold, Ronald Kahn | | | | Professional Automated Trading: Theory and Practice - Eugene A. Durenard | | | | Algorithmic Trading and Quantitative Strategies (Chapman and Hall/CRC Financial Mathematics Series) - Raja Velu, Maxence Hardy, Daniel Nehren | | | | Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization - Xin Guo, Tze Leung Lai, Howard Shek, Samuel Po-Shing Wong | | | High Frequency Trading | Title | Reviews | Rating | |----------|---------|--------| | Inside the Black Box: A Simple Guide to Quantitative and High Frequency Trading - Rishi K. Narang | | | | Algorithmic and High-Frequency Trading (Mathematics, Finance and Risk) - Álvaro Cartea, Sebastian Jaimungal, José Penalva | | | | The Problem of HFT – Collected Writings on High Frequency Trading & Stock Market Structure Reform - Haim Bodek | | | | An Introduction to High-Frequency Finance - Ramazan Gençay, Michel Dacorogna, Ulrich A. Muller, Olivier Pictet, Richard Olsen | | | | Market Microstructure in Practice - Charles-Albert Lehalle, Sophie Laruelle | | | | The Financial Mathematics of Market Liquidity - Olivier Gueant | | | | High-Frequency Trading - Maureen O’Hara, David Easley, Marcos M López de Prado | | | Machine Learning | Title | Reviews | Rating | |----------|---------|--------| | Dark Pools: The rise of A.I. trading machines and the looming threat to Wall Street - Scott Patterson | | | | Advances in Financial Machine Learning - Marcos Lopez de Prado | | | | Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition - Stefan Jansen | | | | Machine Learning for Asset Managers (Elements in Quantitative Finance) - Marcos M López de Prado | | | | Machine Learning in Finance: From Theory to Practice - Matthew F. Dixon, Igor Halperin, Paul Bilokon | | | | Artificial Intelligence in Finance: A Python-Based Guide - Yves Hilpisch | | | | Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques - Robert Kissell | | | Videos | Title | Likes | |--------------------------------------------------------------------|-------| | Krish Naik - Machine learning tutorials and their Application in Stock Prediction | | | QuantInsti Youtube - webinars about Machine Learning for trading | | | Siraj Raval - Videos about stock market prediction using Deep Learning | | | Quantopian - Webinars about Machine Learning for trading | | | Sentdex - Machine Learning for Forex and Stock analysis and algorithmic trading | | | QuantNews - Machine Learning for Algorithmic Trading 3 part series | | | Sentdex - Python programming for Finance (a few videos including Machine Learning) | | | Chat with Traders EP042 - Machine learning for algorithmic trading with Bert Mouler | | | Tucker Balch - Applying Deep Reinforcement Learning to Trading | | | Ernie Chan - Machine Learning for Quantitative Trading Webinar | | | Chat with Traders EP147 - Detective work leading to viable trading strategies with Tom Starke | | | Chat with Traders EP142 - Algo trader using automation to bypass human flaws with Bert Mouler | | | Master Thesis presentation, Uni of Essex - Analyzing the Limit Order Book, A Deep Learning Approach | | | Howard Bandy - Machine Learning Trading System Development Webinar | | | Chat With Traders EP131 - Trading strategies, powered by machine learning with Morgan Slade | | | Chat with Traders Quantopian 5 - Good Uses of Machine Learning in Finance with Max Margenot | | | Hitoshi Harada, CTO at Alpaca - Deep Learning in Finance Talk | | | Better System Trader EP028 - David Aronson shares research into indicators that identify Bull and Bear markets. | | | Prediction Machines - Deep Learning with Python in Finance Talk | | | Better System Trader EP064 - Cryptocurrencies and Machine Learning with Bert Mouler | | | Better System Trader EP023 - Portfolio manager Michael Himmel talks AI and machine learning in trading | | | Better System Trader EP082 - Machine Learning With Kris Longmore | | Blogs | Title | |--------------------------------------------------------------------| | AAA Quants, Tom Starke Blog | | AI & Systematic Trading | | Blackarbs blog | | Hardikp, Hardik Patel blog | | Max Dama on Automated Trading | | Medallion.Club on Systematic Trading (FR) | | Proof Engineering: The Algorithmic Trading Platform | | Quantsportal, Jacques Joubert's Blog | | Quantstart - Machine Learning for Trading articles | | RobotWealth, Kris Longmore Blog | Courses | Title | |--------------------------------------------------------------------| | AI in Finance | | AI & Systematic Trading | | Algorithmic Trading for Cryptocurrencies in Python | | Coursera, NYU - Guided Tour of Machine Learning in Finance | | Coursera, NYU - Fundamentals of Machine Learning in Finance | | Coursera, NYU - Reinforcement Learning in Finance | | Coursera, NYU - Overview of Advanced Methods for Reinforcement Learning in Finance | | Hudson and Thames Quantitative Research | | NYU: Overview of Advanced Methods of Reinforcement Learning in Finance | | Udacity: Artificial Intelligence for Trading | | Udacity, Georgia Tech - Machine Learning for Trading |

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

finance,awesome,book,paper,trading-bot,algotrading,quant,awesome-list,trading-strategies,trading-algorithms

superstreamlabs/memphis

Please pay attention that Memphis.dev is no longer supported officially by the Superstream team (formerly Memphis.dev) and was released to the public. [](https://memphis.dev) **[Memphis.dev](https://memphis.dev)** Is The First Data Streaming Platform Designed For Backend Developers To Build Event-driven And Real-time Features Faster Than Ever. ##  About Before Memphis came along, handling ingestion and processing of events on a large scale took months to adopt and was a capability reserved for the top 20% of mega-companies. Now, Memphis opens the door for the other 80% to unleash their event and data streaming superpowers quickly, easily, and with great cost-effectiveness. ## 🚀 Getting Started [Tutorials](https://docs.memphis.dev/memphis/getting-started/tutorials) | [Videos](https://www.youtube.com/playlist?list=PL_7iYjqhtXpWpZT2U0zDYo2eGOoGmg2mm) #### ☸ Kubernetes ```shell helm repo add memphis https://k8s.memphis.dev/charts/ --force-update && \ helm install my-memphis memphis/memphis --create-namespace --namespace memphis ``` #### 🐳 Docker Compose ```shell curl -s https://memphisdev.github.io/memphis-docker/docker-compose.yml -o docker-compose.yml && \ docker compose -f docker-compose.yml -p memphis up ``` ## ✨ Key Features [v1.4.4](https://docs.memphis.dev/memphis/release-notes/releases/v1.4.4-latest)  Production-ready message broker in under 3 minutes  Easy-to-use UI, CLI, and SDKs  Data-level observability  Dead-Letter Queue with automatic message retransmit  Schemaverse - Embedded schema management for produced data (Protobuf/JSON/GraphQL/Avro)  Functions for real-time processing  Graph visualization  Storage tiering  SDKs: Node.JS, Go, Python, Typescript, NestJS, REST, .NET, Kotlin  Kubernetes-native  Community driven End-to-end Observability "Feel" your producers, consumers, and records Quickly analyze system health using a graph overview Never lose a message with automatic dead-letter Save up 96% storage costs with Storage tiering Increase data quality with schemas ## Public case studies - [Dstny - Building the next-gen in-house communication using Memphis.dev](https://memphis.dev/blog/how-dstny-building-the-future-of-in-house-communication-using-memphis-dev/) - [Gastromatic - Synchronizing data using Memphis.dev](https://medium.com/gastromatic/synchronizing-data-using-memphis-dev-a-case-study-2e6e9a7b5512) - [KELA - Real-time cyber threats identification](https://memphis.dev/blog/how-kela-is-using-memphis-dev-for-real-time-cyber-threats-identification/) - [Handling millions of discord messages](https://memphis.dev/blog/how-cactusfire-handles-millions-of-daily-discord-messages-using-memphis-dev/) ## Network diagram ## SDKs supported features Feature | Go | Python | JS | .NET | Java | Rust ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- Connection | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: Disconnection | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: Create a station | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: Destroy a station | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: Retention | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: Retention values | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: Storage types | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: Create a new schema | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: Enforce a schema Protobuf | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: Enforce a schema Json | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :construction: (WIP) Enforce a schema GraphQL | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: Enforce a schema Avro | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: Detach a schema | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: Produce | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: Add headers | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: Async produce | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: Message ID | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | ? | :white_check_mark: Destroy a producer | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | Partial | :white_check_mark: Consume | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: Context to message handler | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | Not Applicable Ack a message | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: Nack a Message | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: Send a message to dead-letter | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: Get message time sent | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: Fetch | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: Message delay | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: Get Headers | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: Get message sequence number | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: Destroying a Consumer | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: Check if broker is connected | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: Consumer prefetch | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: | :x: | :white_check_mark: Schema deserialization | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: ## 👉 Use-cases - Async task management - Real-time streaming pipelines - Data ingestion - Cloud Messaging - Services (microservices, service mesh) - Event/Data Streaming (observability, analytics, ML/AI) - Queuing - N:N communication patterns - Ingest Grafana Loki logs at scale ## Support 🙋‍♂️🤝 ### Have any questions ❓ We welcome you to our discord server with your questions, doubts and feedback. ### Create a bug 🐞 report If you see an error message or run into an issue, please [create bug report](https://github.com/memphisdev/memphis/issues/new?assignees=&labels=type%3A%20bug&template=bug_report.md&title=). This effort is valued and it will help all Memphis{dev} users. ### Submit a feature 💡 request If you have an idea, or you think that we're missing a capability that would make development easier and more robust, please [Submit feature request](https://github.com/memphisdev/memphis/issues/new?assignees=&labels=type%3A%20feature%20request). If an issue❗with similar feature request already exists, don't forget to leave a "+1". If you add some more information such as your thoughts and vision about the feature, your comments will be embraced warmly :) ## Contributing Memphis.dev is an open-source project. We are committed to a fully transparent development process and appreciate highly any contributions. Whether you are helping us fix bugs, proposing new features, improving our documentation or spreading the word - we would love to have you as part of the Memphis.dev community. Please refer to our [Contribution Guidelines](./CONTRIBUTING.md) and [Code of Conduct](./CODE_OF_CONDUCT.md). ## Contributors ✨ Thanks goes to these wonderful people ❤: ## License 📃 Memphis is open-sourced and operates under the "Memphis Business Source License 1.0" license Built out of Apache 2.0, the main difference between the licenses is: "You may make use of the Licensed Work (i) only as part of your own product or service, provided it is not a message broker or a message queue product or service; and (ii) provided that you do not use, provide, distribute, or make available the Licensed Work as a Service. A “Service” is a commercial offering, product, hosted, or managed service, that allows third parties (other than your own employees and contractors acting on your behalf) to access and/or use the Licensed Work or a substantial set of the features or functionality of the Licensed Work to third parties as a software-as-a-service, platform-as-a-service, infrastructure-as-a-service or other similar services that compete with Licensor products or services." Please check out [License](./LICENSE) to read the full text.

Memphis.dev is a highly scalable and effortless data streaming platform

data,data-stream-processing,data-streaming,kubernetes,messaging-queue,data-engineering,data-pipeline,golang,enrichment,message-broker

fujiapple852/trippy

Trippy Trippy combines the functionality of traceroute and ping and is designed to assist with the analysis of networking issues. Navigation Trippy Features Versions Distributions Privileges Usage Examples Command Reference Theme Reference Column Reference Key Bindings Reference Configuration Reference Frequently Asked Questions Acknowledgements License Features Trace using multiple protocols: ICMP , UDP & TCP IPv4 & IPv6 Customizable tracing options: packet size & payload pattern start and maximum time-to-live (TTL) minimum and maximum round duration round end grace period & maximum number of unknown hops source & destination port ( TCP & UDP ) source address and source interface TOS (aka DSCP + ECN ) Support for classic , paris and dublin Equal Cost Multi-path Routing strategies ( tracking issue ) RFC4884 ICMP Multi-Part Messages Generic Extension Objects MPLS Label Stacks Unprivileged mode Tui interface: Trace multiple targets simultaneously from a single instance of Trippy Per hop stats (sent, received, loss%, last, avg, best, worst, stddev, jitter & status) Per hop round-trip-time (RTT) history and frequency distributing charts Interactive chart of RTT for all hops in a trace with zooming capability Interactive GeoIp world map Isolate and filter by individual tracing flows Customizable color theme & key bindings Customizable column order and visibility Configuration via both command line arguments and a configuration file Show multiple hosts per hop with ability to cap display to N hosts and show frequency % Show hop details and navigate hosts within each hop Freeze/unfreeze the Tui, reset the stats, flush the cache, preserve screen on exit Responsive UI with adjustable refresh rate Hop privacy DNS: Use system, external (Google 8.8.8.8 or Cloudflare 1.1.1.1 ) or custom resolver Lazy reverse DNS queries Lookup autonomous system number (ASN) and name GeoIp: Lookup and display GeoIp information from local MaxMind and IPinfo mmdb files Generate tracing reports: json , csv & tabular (pretty-printed and markdown) Tracing flows report Graphviz dot charts configurable reporting cycles Runs on multiple platform (macOS, Linux, Windows, NetBSD, FreeBSD, OpenBSD) Capabilities aware application (Linux only) Versions The following table lists ths versions of Trippy that are available and links to the corresponding release note and documentation: | Version | Release Date | Status | Release Note | Documentation | |------------|--------------|-------------|--------------------------------------------------------------------|------------------------------------------------------------| | 0.11.0-dev | n/a | Development | n/a | docs | | 0.10.0 | 2024-03-31 | Current | note | docs | | 0.9.0 | 2023-11-30 | Previous | note | docs | | 0.8.0 | 2023-05-15 | Deprecated | note | docs | | 0.7.0 | 2023-03-25 | Deprecated | note | docs | | 0.6.0 | 2022-08-19 | Deprecated | note | docs | [!NOTE] Only the latest patch versions of both the current and previous releases of Trippy are supported. Distributions Cargo shell cargo install trippy --locked PPA (Ubuntu) shell sudo add-apt-repository ppa:fujiapple/trippy sudo apt update && apt install trippy Snap (Linux) shell snap install trippy Homebrew (macOS) shell brew install trippy WinGet (Windows) shell winget install trippy Scoop (Windows) shell scoop install trippy NetBSD shell pkgin install trippy FreeBSD shell pkg install trippy OpenBSD shell pkg_add trippy Pacman (Arch Linux) shell pacman -S trippy Nix shell nix-env -iA trippy Docker shell docker run -it fujiapple/trippy Binary Asset Download | OS | Arch | Env | Current | Previous | |---------|-----------|--------------|-------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------| | Linux | x86_64 | gnu | 0.10.0 | 0.9.0 | | Linux | x86_64 | musl | 0.10.0 | 0.9.0 | | Linux | aarch64 | gnu | 0.10.0 | 0.9.0 | | Linux | aarch64 | musl | 0.10.0 | 0.9.0 | | Linux | arm7 | gnueabihf | 0.10.0 | 0.9.0 | | Linux | arm7 | musleabi | 0.10.0 | 0.9.0 | | Linux | arm7 | musleabihf | 0.10.0 | 0.9.0 | | macOS | x86_64 | darwin | 0.10.0 | 0.9.0 | | macOS | aarch64 | darwin | 0.10.0 | 0.9.0 | | Windows | x86_64 | msvc | 0.10.0 | 0.9.0 | | Windows | x86_64 | gnu | 0.10.0 | 0.9.0 | | Windows | aarch64 | msvc | 0.10.0 | 0.9.0 | | FreeBSD | x86_64 | n/a | 0.10.0 | 0.9.0 | | NetBSD | x86_64 | n/a | 0.10.0 | 0.9.0 | | RPM | x86_64 | gnu | 0.10.0 | 0.9.0 | | Debian | x86_64 | gnu | 0.10.0 | 0.9.0 | | Debian | x86_64 | musl | 0.10.0 | 0.9.0 | Privileges Trippy normally requires elevated privileges due to the use of raw sockets. Enabling the required privileges for your platform can be achieved in several ways, as outlined below. Trippy can also be used without elevated privileged on certain platforms, with some limitations. Unix 1: Run as root user via sudo : shell sudo trip example.com 2: chown trip as the root user and set the setuid bit: shell sudo chown root $(which trip) && sudo chmod +s $(which trip) 3: [Linux only] Set the CAP_NET_RAW capability: shell sudo setcap CAP_NET_RAW+p $(which trip) [!NOTE] Trippy is a capability aware application and will add CAP_NET_RAW to the effective set if it is present in the allowed set. Trippy will drop all capabilities after creating the raw sockets. Windows Trippy must be run with Administrator privileges on Windows. Unprivileged mode Trippy allows running in an unprivileged mode for all tracing modes ( ICMP , UDP and TCP ) on platforms which support that feature. [!NOTE] Unprivileged mode is currently only supported on macOS. Linux support is possible and may be added in the future. Unprivileged mode is not supported on NetBSD, FreeBSD or Windows as these platforms do not support the IPPROTO_ICMP socket type. See #101 for further information. The unprivileged mode can be enabled by adding the --unprivileged ( -u ) command line flag or by adding the unprivileged entry in the trippy section of the configuration file : toml [trippy] unprivileged = true [!NOTE] The paris and dublin ECMP strategies are not supported in unprivileged mode as these require manipulating the UDP and IP and headers which in turn requires the use of a raw socket. Usage Examples Basic usage with default parameters: shell trip example.com Trace without requiring elevated privileges (supported platforms only, see privileges ): shell trip example.com --unprivileged Trace using the udp (or tcp or icmp ) protocol (also aliases --icmp , --udp & --tcp ): shell trip example.com -p udp Trace to multiple targets simultaneously ( icmp protocol only, see #72 ): shell trip example.com google.com crates.io Trace with a minimum round time of 250ms and a grace period of 50ms : shell trip example.com -i 250ms -g 50ms Trace with a custom first and maximum time-to-live : shell trip example.com --first-ttl 2 --max-ttl 10 Use custom destination port 443 for tcp tracing: shell trip example.com -p tcp -P 443 Use custom source port 5000 for udp tracing: shell trip example.com -p udp -S 5000 Use the dublin (or paris ) ECMP routing strategy for udp with fixed source and destination ports: shell trip example.com -p udp -R dublin -S 5000 -P 3500 Trace with a custom source address: shell trip example.com -p tcp -A 127.0.0.1 Trace with a source address determined by the IPv4 address for interface en0 : shell trip example.com -p tcp -I en0 Trace using IPv6 : shell trip example.com -6 Trace using ipv4-then-ipv6 fallback (or ipv6-then-ipv4 or ipv4 or ipv6 ): shell trip example.com --addr-family ipv4-then-ipv6 Generate a json (or csv , pretty , markdown ) tracing report with 5 rounds of data: shell trip example.com -m json -C 5 Generate a Graphviz DOT file report of all tracing flows for a TCP trace after 5 rounds: shell trip example.com --tcp -m dot -C 5 Generate a textual report of all tracing flows for a UDP trace after 5 rounds: shell trip example.com --udp -m flows -C 5 Perform DNS queries using the google DNS resolver (or cloudflare , system , resolv ): shell trip example.com -r google Lookup AS information for all discovered IP addresses (not yet available for the system resolver, see #66 ): shell trip example.com -r google -z Lookup and display short (or long or location or off ) GeoIp information from a mmdb file: shell trip example.com --geoip-mmdb-file GeoLite2-City.mmdb --tui-geoip-mode short Parse icmp extensions: shell trip example.com -e Hide the IP address, hostname and GeoIp for the first two hops: shell trip example.com --tui-privacy-max-ttl 2 Customize Tui columns (see Column Reference ): shell trip example.com --tui-custom-columns holsravbwdt Customize the color theme: shell trip example.com --tui-theme-colors bg-color=blue,text-color=ffff00 List all Tui items that can have a custom color theme: shell trip --print-tui-theme-items Customize the key bindings: shell trip example.com --tui-key-bindings previous-hop=k,next-hop=j,quit=shift-q List all Tui commands that can have a custom key binding: shell trip --print-tui-binding-commands Specify the location of the Trippy config file: shell trip example.com --config-file /path/to/trippy.toml Generate a template configuration file: shell trip --print-config-template > trippy.toml Generate bash shell completions (or fish , powershell , zsh , elvish ): shell trip --generate bash Generate ROFF man page: shell trip --generate-man Run in silent tracing mode and output compact trace logging with full span events: shell trip example.com -m silent -v --log-format compact --log-span-events full Command Reference [!NOTE] Trippy command line arguments may be given in any order and my occur both before and after the targets. ```text A network diagnostic tool Usage: trip [OPTIONS] [TARGETS]... Arguments: [TARGETS]... A space delimited list of hostnames and IPs to trace Options: -c, --config-file Config file -m, --mode Output mode [default: tui] Possible values: - tui: Display interactive TUI - stream: Display a continuous stream of tracing data - pretty: Generate a pretty text table report for N cycles - markdown: Generate a Markdown text table report for N cycles - csv: Generate a CSV report for N cycles - json: Generate a JSON report for N cycles - dot: Generate a Graphviz DOT file for N cycles - flows: Display all flows for N cycles - silent: Do not generate any tracing output for N cycles -u, --unprivileged Trace without requiring elevated privileges on supported platforms [default: false] -p, --protocol Tracing protocol [default: icmp] Possible values: - icmp: Internet Control Message Protocol - udp: User Datagram Protocol - tcp: Transmission Control Protocol --udp Trace using the UDP protocol --tcp Trace using the TCP protocol --icmp Trace using the ICMP protocol -F, --addr-family The address family [default: Ipv4thenIpv6] Possible values: - ipv4: Ipv4 only - ipv6: Ipv6 only - ipv6-then-ipv4: Ipv6 with a fallback to Ipv4 - ipv4-then-ipv6: Ipv4 with a fallback to Ipv6 -4, --ipv4 Use IPv4 only -6, --ipv6 Use IPv6 only -P, --target-port The target port (TCP & UDP only) [default: 80] -S, --source-port The source port (TCP & UDP only) [default: auto] -A, --source-address The source IP address [default: auto] -I, --interface The network interface [default: auto] -i, --min-round-duration The minimum duration of every round [default: 1s] -T, --max-round-duration The maximum duration of every round [default: 1s] -g, --grace-duration The period of time to wait for additional ICMP responses after the target has responded [default: 100ms] --initial-sequence <INITIAL_SEQUENCE> The initial sequence number [default: 33000] -R, --multipath-strategy The Equal-cost Multi-Path routing strategy (UDP only) [default: classic] Possible values: - classic: The src or dest port is used to store the sequence number - paris: The UDP `checksum` field is used to store the sequence number - dublin: The IP `identifier` field is used to store the sequence number -U, --max-inflight The maximum number of in-flight ICMP echo requests [default: 24] -f, --first-ttl The TTL to start from [default: 1] -t, --max-ttl The maximum number of TTL hops [default: 64] --packet-size <PACKET_SIZE> The size of IP packet to send (IP header + ICMP header + payload) [default: 84] --payload-pattern <PAYLOAD_PATTERN> The repeating pattern in the payload of the ICMP packet [default: 0] -Q, --tos The TOS (i.e. DSCP+ECN) IP header value (TCP and UDP only) [default: 0] -e, --icmp-extensions Parse ICMP extensions --read-timeout <READ_TIMEOUT> The socket read timeout [default: 10ms] -r, --dns-resolve-method How to perform DNS queries [default: system] Possible values: - system: Resolve using the OS resolver - resolv: Resolve using the `/etc/resolv.conf` DNS configuration - google: Resolve using the Google `8.8.8.8` DNS service - cloudflare: Resolve using the Cloudflare `1.1.1.1` DNS service -y, --dns-resolve-all Trace to all IPs resolved from DNS lookup [default: false] --dns-timeout <DNS_TIMEOUT> The maximum time to wait to perform DNS queries [default: 5s] -z, --dns-lookup-as-info Lookup autonomous system (AS) information during DNS queries [default: false] -s, --max-samples The maximum number of samples to record per hop [default: 256] --max-flows <MAX_FLOWS> The maximum number of flows to record [default: 64] -a, --tui-address-mode How to render addresses [default: host] Possible values: - ip: Show IP address only - host: Show reverse-lookup DNS hostname only - both: Show both IP address and reverse-lookup DNS hostname --tui-as-mode <TUI_AS_MODE> How to render AS information [default: asn] Possible values: - asn: Show the ASN - prefix: Display the AS prefix - country-code: Display the country code - registry: Display the registry name - allocated: Display the allocated date - name: Display the AS name --tui-custom-columns <TUI_CUSTOM_COLUMNS> Custom columns to be displayed in the TUI hops table [default: holsravbwdt] --tui-icmp-extension-mode <TUI_ICMP_EXTENSION_MODE> How to render ICMP extensions [default: off] Possible values: - off: Do not show `icmp` extensions - mpls: Show MPLS label(s) only - full: Show full `icmp` extension data for all known extensions - all: Show full `icmp` extension data for all classes --tui-geoip-mode <TUI_GEOIP_MODE> How to render GeoIp information [default: short] Possible values: - off: Do not display GeoIp data - short: Show short format - long: Show long format - location: Show latitude and Longitude format -M, --tui-max-addrs The maximum number of addresses to show per hop [default: auto] --tui-preserve-screen Preserve the screen on exit [default: false] --tui-refresh-rate <TUI_REFRESH_RATE> The Tui refresh rate [default: 100ms] --tui-privacy-max-ttl <TUI_PRIVACY_MAX_TTL> The maximum ttl of hops which will be masked for privacy [default: 0] --tui-theme-colors <TUI_THEME_COLORS> The TUI theme colors [item=color,item=color,..] --print-tui-theme-items Print all TUI theme items and exit --tui-key-bindings <TUI_KEY_BINDINGS> The TUI key bindings [command=key,command=key,..] --print-tui-binding-commands Print all TUI commands that can be bound and exit -C, --report-cycles The number of report cycles to run [default: 10] -G, --geoip-mmdb-file The supported MaxMind or IPinfo GeoIp mmdb file --generate <GENERATE> Generate shell completion [possible values: bash, elvish, fish, powershell, zsh] --generate-man Generate ROFF man page --print-config-template Print a template toml config file and exit --log-format <LOG_FORMAT> The debug log format [default: pretty] Possible values: - compact: Display log data in a compact format - pretty: Display log data in a pretty format - json: Display log data in a json format - chrome: Display log data in Chrome trace format --log-filter <LOG_FILTER> The debug log filter [default: trippy=debug] --log-span-events <LOG_SPAN_EVENTS> The debug log format [default: off] Possible values: - off: Do not display event spans - active: Display enter and exit event spans - full: Display all event spans -v, --verbose Enable verbose debug logging -h, --help Print help (see a summary with '-h') -V, --version Print version ``` Theme Reference The following table lists the default Tui color theme. These can be overridden with the --tui-theme-colors command line option or in the theme-colors section of the configuration file. | Item | Description | Default | |--------------------------------------|-----------------------------------------------------------|--------------| | bg-color | The default background color | Black | | border-color | The default color of borders | Gray | | text-color | The default color of text | Gray | | tab-text-color | The color of the text in traces tabs | Green | | hops-table-header-bg-color | The background color of the hops table header | White | | hops-table-header-text-color | The color of text in the hops table header | Black | | hops-table-row-active-text-color | The color of text of active rows in the hops table | Gray | | hops-table-row-inactive-text-color | The color of text of inactive rows in the hops table | DarkGray | | hops-chart-selected-color | The color of the selected series in the hops chart | Green | | hops-chart-unselected-color | The color of the unselected series in the hops chart | Gray | | hops-chart-axis-color | The color of the axis in the hops chart | DarkGray | | frequency-chart-bar-color | The color of bars in the frequency chart | Green | | frequency-chart-text-color | The color of text in the bars of the frequency chart | Gray | | flows-chart-bar-selected-color | The color of the selected flow bar in the flows chart | Green | | flows-chart-bar-unselected-color | The color of the unselected flow bar in the flows chart | DarkGray | | flows-chart-text-current-color | The color of the current flow text in the flows chart | LightGreen | | flows-chart-text-non-current-color | The color of the non-current flow text in the flows chart | White | | samples-chart-color | The color of the samples chart | Yellow | | help-dialog-bg-color | The background color of the help dialog | Blue | | help-dialog-text-color | The color of the text in the help dialog | Gray | | settings-dialog-bg-color | The background color of the settings dialog | blue | | settings-tab-text-color | The color of the text in settings dialog tabs | green | | settings-table-header-text-color | The color of text in the settings table header | black | | settings-table-header-bg-color | The background color of the settings table header | white | | settings-table-row-text-color | The color of text of rows in the settings table | gray | | map-world-color | The color of the map world diagram | white | | map-radius-color | The color of the map accuracy radius circle | yellow | | map-selected-color | The color of the map selected item box | green | | map-info-panel-border-color | The color of border of the map info panel | gray | | map-info-panel-bg-color | The background color of the map info panel | black | | map-info-panel-text-color | The color of text in the map info panel | gray | The supported ANSI colors are: Black , Red , Green , Yellow , Blue , Magenta , Cyan , Gray , DarkGray , LightRed , LightGreen , LightYellow , LightBlue , LightMagenta , LightCyan , White In addition, CSS named colors (i.e. SkyBlue) and raw hex values (i.e. ffffff) may be used but note that these are only supported on some platforms and terminals and may not render correctly elsewhere. Color names are case-insensitive and may contain dashes. Key Bindings Reference The following table lists the default Tui command key bindings. These can be overridden with the --tui-key-bindings command line option or in the bindings section of the configuration file. | Command | Description | Default | |------------------------|-------------------------------------------------|----------| | toggle-help | Toggle help | h | | toggle-help-alt | Toggle help (alternative binding) | ? | | toggle-settings | Toggle settings | s | | next-hop | Select next hop | down | | previous-hop | Select previous hop | up | | next-trace | Select next trace | right | | previous-trace | Select previous trace | left | | next-hop-address | Select next hop address | . | | previous-hop-address | Select previous hop address | , | | address-mode-ip | Show IP address only | i | | address-mode-host | Show hostname only | n | | address-mode-both | Show both IP address and hostname | b | | toggle-freeze | Toggle freezing the display | ctrl+f | | toggle-chart | Toggle the chart | c | | toggle-map | Toggle the GeoIp map | m | | toggle-flows | Toggle the flows | f | | toggle-privacy | Toggle the hop privacy | p | | expand-hosts | Expand the hosts shown per hop | ] | | expand-hosts-max | Expand the hosts shown per hop to the maximum | } | | contract-hosts | Contract the hosts shown per hop | [ | | contract-hosts-min | Contract the hosts shown per hop to the minimum | { | | chart-zoom-in | Zoom in the chart | = | | chart-zoom-out | Zoom out the chart | - | | clear-trace-data | Clear all trace data | ctrl+r | | clear-dns-cache | Flush the DNS cache | ctrl+k | | clear-selection | Clear the current selection | esc | | toggle-as-info | Toggle AS info display | z | | toggle-hop-details | Toggle hop details | d | | quit | Quit the application | q | The supported modifiers are: shift , ctrl , alt , super , hyper & meta . Multiple modifiers may be specified, for example ctrl+shift+b . Column Reference The below table lists the columns that are available for display in the Tui. These can be overridden with the --tui-custom-columns command line option or in the tui-custom-columns attribute in the tui section of the configuration file. | Column | Code | Description | |---------|------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | # | h | The time-to-live (TTL) for the hop | | Host | o | The hostname(s) and IP address(s) for the host(s) for the hop May include AS info, GeoIp and ICMP extensions Shows full hop details in hop detail navigation mode | | Loss% | l | The packet loss % for the hop | | Snd | s | The number of probes sent for the hop | | Recv | r | The number of probe responses received for the hop | | Last | a | The round-trip-time (RTT) of the last probe for the hop | | Avg | v | The average RTT of all probes for the hop | | Best | b | The best RTT of all probes for the hop | | Wrst | w | The worst RTT of all probes for the hop | | StDev | d | The standard deviation of all probes for the hop | | Sts | t | The status for the hop: - 🟢 Healthy hop - 🔵 Non-target hop with packet loss (does not necessarily indicate a problem) - 🟤 Non-target hop is unresponsive (does not necessarily indicate a problem) - 🟡 Target hop with packet loss (likely indicates a problem) - 🔴 Target hop is unresponsive (likely indicates a problem) | | Jttr | j | The round-trip-time (RTT) difference between consecutive rounds for the hop | | Javg | g | The average jitter of all probes for the hop | | Jmax | x | The maximum jitter of all probes for the hop | | Jint | u | The smoothed jitter value of all probes for the hop | | Seq | Q | The sequence number for the last probe for the hop | | Sprt | S | The source port for the last probe for the hop | | Dprt | P | The destination port for the last probe for the hop | | Type | T | The icmp packet type for the last probe for the hop: - TE: TimeExceeded - ER: EchoReply - DU: DestinationUnreachable - NA: NotApplicable | | Code | C | The icmp packet code for the last probe for the hop | The default columns are holsravbwdt . [!NOTE] The columns will be shown in the order specified in the configuration. Configuration Reference Trippy can be configured with via command line arguments or an optional configuration file. If a given configuration item is specified in both the configuration file and via a command line argument then the latter will take precedence. The configuration file location may be provided to Trippy via the -c ( --config-file ) argument. If not provided, Trippy will attempt to locate a trippy.toml or .trippy.toml configuration file in one of the following locations: The current directory The user home directory the XDG config directory (Unix only): $XDG_CONFIG_HOME or ~/.config the Windows data directory (Windows only): %APPDATA% An annotated template configuration file is available for 0.9.0 and 0.10.0 . Trippy (version 0.9.0 or later) can generate a template configuration file: shell trip --print-config-template > trippy.toml Frequently Asked Questions Why does Trippy show "Awaiting data..."? [!IMPORTANT] If you are using Windows you must configure the Windows Defender firewall to allow incoming ICMP traffic When Trippy shows “Awaiting data...” it means that it has received zero responses for the probes sent in a trace. This indicates that either probes are not being sent or, more typically, responses are not being received. Check that local and network firewalls allow ICMP traffic and that the system traceroute (or tracert.exe on Windows) works as expected. Note that on Windows, even if tracert.exe works as expected, you must configure the Windows Defender firewall to allow incoming ICMP traffic. For deeper diagnostics you can run tools such as https://www.wireshark.org and https://www.tcpdump.org to verify that icmp requests and responses are being send and received. How do I allow incoming ICMP traffic in the Windows Defender firewall? The Windows Defender firewall rule can be created using PowerShell: shell New-NetFirewallRule -DisplayName "ICMP Trippy Allow" -Name ICMP_TRIPPY_ALLOW -Protocol ICMPv4 -Action Allow The rule can be enabled and disabled as follows: shell Enable-NetFirewallRule ICMP_TRIPPY_ALLOW Disable-NetFirewallRule ICMP_TRIPPY_ALLOW The Windows Defender firewall rule may also be configured manually, see here for a step-by-step guide. Acknowledgements Trippy is made possible by ratatui ( formerly tui-rs ), crossterm as well as several foundational Rust libraries. Trippy draws heavily from mtr and also incorporates ideas from both libparistraceroute & Dublin Traceroute . The Trippy networking code is inspired by pnet and some elements of that codebase are incorporated in Trippy. The AS data is retrieved from the IP to ASN Mapping Service provided by Team Cymru . The trippy.cli.rs CNAME hosting is provided by cli.rs . The Trippy chat room is sponsored by Zulip . License This project is distributed under the terms of the Apache License (Version 2.0). Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in time by you, as defined in the Apache-2.0 license, shall be licensed as above, without any additional terms or conditions. See LICENSE for details. Copyright 2022 Trippy Contributors

A network diagnostic tool

cli,mtr,network,ping,rust,tool,traceroute,tui,tui-rs,icmp

actuallymentor/battery

Battery charge limiter for Apple Silicon Macbook devices This tool makes it possible to keep a chronically plugged in Apple Silicon Macbook at 80% battery, since that will prolong the longevity of the battery. It is free and open-source and will remain that way. Want to know if this tool does anything or is just a placebo? Read this excellent article . TL;DR: keep your battery cool, keep it at 80% when plugged in, and discharge it as shallowly as feasible. Requirements This is an app for Apple Silicon Macs. It will not work on Intel macs. Do you have an older Mac? Consider the free version of the Al Dente software package. It is a good alternative and has a premium version with many more features. Installation Option 1: install through brew with brew install battery Option 2: You can download the latest app dmg version here . Option 3: command-line only installation (see section below) The first time you open the app, it will ask for your administator password so it can install the needed components. Please note that the app: Discharges your battery until it reaches 80%, even when plugged in Disables charging when your battery is above 80% charged Enabled charging when your battery is under 80% charged Keeps the limit engaged even after rebooting Keeps the limit engaged even after closing the tray app Also automatically installs the battery command line tool. If you want a custom charging percentage, the CLI is the only way to do that. Do you have questions, comments, or feature requests? Open an issue here or Tweet at me . 🖥 Command-line version If you don't know what a "command line" is, ignore this section. You don't need it. The GUI app uses a command line tool under the hood. Installing the GUI automatically installs the CLI as well. You can also separately install the CLI. The CLI is used for managing the battery charging status for Apple Silicon Macbooks. Can be used to enable/disable the Macbook from charging the battery when plugged into power. Installation One-line installation: bash curl -s https://raw.githubusercontent.com/actuallymentor/battery/main/setup.sh | bash This will: Download the precompiled smc tool in this repo (built from the hholtmann/smcFanControl repository) Install smc to /usr/local/bin Install battery to /usr/local/bin Usage Example usage: ```shell This will enable charging when your battery dips under 80, and disable it when it exceeds 80 battery maintain 80 ``` After running a command like battery charging off you can verify the change visually by looking at the battery icon: After running battery charging on you will see it change to this: For help, run battery without parameters: ``` Battery CLI utility v1.0.1 Usage: battery status output battery SMC status, % and time remaining battery maintain LEVEL[1-100,stop] reboot-persistent battery level maintenance: turn off charging above, and on below a certain value eg: battery maintain 80 eg: battery maintain stop battery charging SETTING[on/off] manually set the battery to (not) charge eg: battery charging on battery adapter SETTING[on/off] manually set the adapter to (not) charge even when plugged in eg: battery adapter off battery charge LEVEL[1-100] charge the battery to a certain percentage, and disable charging when that percentage is reached eg: battery charge 90 battery discharge LEVEL[1-100] block power input from the adapter until battery falls to this level eg: battery discharge 90 battery visudo ensure you don't need to call battery with sudo This is already used in the setup script, so you should't need it. battery update update the battery utility to the latest version battery reinstall reinstall the battery utility to the latest version (reruns the installation script) battery uninstall enable charging, remove the smc tool, and the battery script ``` FAQ & Troubleshooting Why does this exist? I was looking at the Al Dente software package for battery limiting, but I found the license too limiting for a poweruser like myself. I would actually have preferred using Al Dente, but decided to create a command-line utility to replace it as a side-project on holiday. A colleague mentioned they would like a GUI, so I spend a few evenings setting up an Electron app. And voila, here we are. "It's not working" If you used one of the earlier versions of the battery utility, you may run into path/permission issues . This is not your fault but mine. To fix it: sudo rm -rf ~/.battery binfolder=/usr/local/bin sudo rm -v "$binfolder/smc" "$binfolder/battery" Then reopen the app and things should work. If not, open an issue and I'll try to help you fix it. A note to Little Snitch users This tool calls a number of urls, blocking all of them will only break auto-updates. unidentifiedanalytics.web.app is a self-made app that tracks app installations, I use it to see if enough people use the app to justify spending time on it. It tracks only how many unique ip addresses open the app. icanhazip.com is used to see if there is an internet connection github.com is used both as a liveness check and as the source of updates for the underlying command-line utility electronjs.org hosts the update server for the GUI All urls are called over https and so not leak data. Unidentified Analytics keeps track of unique ip addresses that open the app, but nothing else. What distinguishes this project from Optimized Charging? Optimized Charging, a feature that is built into MacOS, aims to ensure the longevity and health of your battery. It does so by "delaying charging the battery past 80% when it predicts that you’ll be plugged in for an extended period of time, and aims to charge the battery before you unplug," as explained in Apple's user guide . Additionally, Optimized Charging uses machine learning to decide when the battery should be held at 80%, and when it should become fully charged. If your Mac is not plugged in on a regular schedule, optimized charging will not work as intended. This app is a similar alternative to Optimized Charging, giving the user control over when it is activated, what percentage the battery should be held at, and more. How do I support this project? Do you know how to code? Open a pull-request for a feature with the label help wanted (PR welcome) . Do you have an awesome feature idea? Add a feature request Do you just want to keep me motivated to update the app? Tweet at me

CLI for managing the battery charging status for M1 Macs

[]

ngneat/falso

All the Fake Data for All Your Real Needs 🙂 Create massive amounts of fake data in the browser and NodeJS. Tree Shakeable & Fully Typed. [](https://github.com/ngneat/falso/actions/workflows/ci.yml) []() []() [](CODE_OF_CONDUCT.md) [](https://github.com/semantic-release/semantic-release) [](https://github.com/prettier/prettier) ✅  203 Functions ✅  Tree Shakable ✅  Fully Typed ✅  Factory Functions ✅  Entity Functions ✅  Single and Array Result 🤓 Learn about it on the docs site Sponsoring ngneat Sponsorships aid in the continued development and maintenance of ngneat libraries. Consider asking your company to sponsor ngneat as its core to their business and application development. Gold Sponsors Elevate your support by becoming a Gold Sponsor and have your logo prominently featured on our README in the top 5 repositories. Silver Sponsors Boost your backing by becoming a Gold Sponsor and enjoy the spotlight with your logo prominently showcased in the top 3 repositories on our README. Bronze Sponsors Become a bronze sponsor and get your logo on our README on GitHub. StackBlitz Installation npm i @ngneat/falso yarn add @ngneat/falso Usage ```ts import { randEmail, randFullName } from '@ngneat/falso'; const user = { email: randEmail(), name: randFullName() }; const emails = randEmail({ length: 10 }); ``` You can specify the length of elements you want to generate. Below is an example of generating 10 emails with length equal or smaller than 20 characters. ts const emails = randEmail({ length: 10, maxCharCount: 20 }); Setting a Randomness Seed You can set your own seed if you want consistent results: ```ts import { rand, seed } from '@ngneat/falso'; seed('some-constant-seed'); // Always returns 2 rand([1, 2, 3, 4, 5]); // Reset random seed seed(); ``` Contribute Go over the steps in this guide Add a new falso Use npm run c and choose the right answers Icons made by Freepik from www.flaticon.com

All the Fake Data for All Your Real Needs 🙂

fake,data,mock,mockdata,fakedata,random

Fallenbagel/jellyseerr

**Jellyseerr** is a free and open source software application for managing requests for your media library. It is a fork of [Overseerr](https://github.com/sct/overseerr) built to bring support for [Jellyfin](https://github.com/jellyfin/jellyfin) & [Emby](https://github.com/MediaBrowser/Emby) media servers! _The original Overseerr team have been busy and Jellyfin/Emby support aren't on their roadmap, so we started this project as we wanted to bring the Overseerr experience to the Jellyfin/Emby Community!_ ## Current Features - Full Jellyfin/Emby/Plex integration including authentication with user import & management - Supports Movies, Shows and Mixed Libraries - Ability to change email addresses for smtp purposes - Easy integration with your existing services. Currently, Jellyseerr supports Sonarr and Radarr. More to come! - Jellyfin/Emby/Plex library scan, to keep track of the titles which are already available. - Customizable request system, which allows users to request individual seasons or movies in a friendly, easy-to-use interface. - Incredibly simple request management UI. Don't dig through the app to simply approve recent requests! - Granular permission system. - Support for various notification agents. - Mobile-friendly design, for when you need to approve requests on the go! (Upcoming Features include: Multiple Server Instances, and much more!) With more features on the way! Check out our [issue tracker](https://github.com/fallenbagel/jellyseerr/issues) to see the features which have already been requested. ## Getting Started ### Launching Jellyseerr using Docker (Recommended) Check out our docker hub for instructions on how to install and run Jellyseerr: https://hub.docker.com/r/fallenbagel/jellyseerr ### Building from source (ADVANCED): #### Windows Pre-requisites: - Nodejs [v20](https://nodejs.org/en/download) - Pnpm [v9](https://pnpm.io/installation) - Download/git clone the source code from the github (Either develop branch or main for stable) ```cmd npm i -g win-node-env set CYPRESS_INSTALL_BINARY=0 pnpm install --frozen-lockfile pnpm add typeorm@0.13.11 pnpm run build pnpm start ``` (You can use task scheduler to run a bat script with `@echo off` and `pnpm start` to run jellyseerr in the background) (You can also use nssm to run jellyseerr as a service, see [nssm](https://nssm.cc/usage) for more information) _To set env variables such as `JELLYFIN_TYPE=emby` create a file called `.env` in the root directory of jellyseerr_ #### Linux **Pre-requisites:** - Nodejs [v20](https://nodejs.org/en/download) - Pnpm [v9](https://pnpm.io/installation) - Git **Steps:** 1. Assuming you want the root folder for the jellyseerr source code to be cloned to `/opt` ```bash cd /opt ``` 2. Then execute the following commands to clone and checkout to the stable version ```bash git clone https://github.com/Fallenbagel/jellyseerr.git && cd jellyseerr git checkout main ``` 3. Then install the dependencies and build the dist ```bash CYPRESS_INSTALL_BINARY=0 pnpm install --frozen-lockfile pnpm build ``` 4. Now you can start jellyseerr using `pnpm start` and opening http://localhost:5055 in your browser. 5. If you want to run jellyseerr as a _Systemd-service:_ - assuming jellyseerr was cloned to `/opt/` - first create the environment file at `/etc/jellyseerr/jellyseerr.conf` Environment file: ``` # Jellyseerr's default port is 5055, if you want to use both, change this. # specify on which port to listen PORT=5055 # specify on which interface to listen, by default jellyseerr listens on all interfaces #HOST=127.0.0.1 # Uncomment if your media server is emby instead of jellyfin. # JELLYFIN_TYPE=emby ``` - Then run the command `which node` to find your node path (assuming it's at `/usr/bin/node`) - Then create the service file using `sudo systemctl edit jellyseerr.service` or creating and editing a file at `/etc/systemd/system/jellyseerr.service` Service file contents: ``` [Unit] Description=Jellyseerr Service Wants=network-online.target After=network-online.target [Service] EnvironmentFile=/etc/jellyseerr/jellyseerr.conf Environment=NODE_ENV=production Type=exec Restart=on-failure WorkingDirectory=/opt/jellyseerr ExecStart=/usr/bin/node dist/index.js [Install] WantedBy=multi-user.target ``` ### Packages: Archlinux: [AUR](https://aur.archlinux.org/packages/jellyseerr) Nixpkg: [Nixpkg](https://search.nixos.org/packages?channel=unstable&show=jellyseerr) ~Snap: [Snap](https://snapcraft.io/jellyseerr)~(Deprecated) ## Preview ## Support - You can get support on [Discord](https://discord.gg/ckbvBtDJgC). - You can ask questions in the Help category of our [GitHub Discussions](https://github.com/fallenbagel/jellyseerr/discussions). - Bug reports and feature requests can be submitted via [GitHub Issues](https://github.com/fallenbagel/jellyseerr/issues). ## API Documentation You can access the API documentation from your local Jellyseerr install at http://localhost:5055/api-docs ## Community You can ask questions, share ideas, and more in [GitHub Discussions](https://github.com/fallenbagel/jellyseerr/discussions). If you would like to chat with other members of our growing community, [join the Jellyseerr Discord server](https://discord.gg/ckbvBtDJgC)! Our [Code of Conduct](https://github.com/fallenbagel/jellyseerr/blob/develop/CODE_OF_CONDUCT.md) applies to all Jellyseerr community channels. ## Contributing You can help improve Jellyseerr too! Check out our [Contribution Guide](https://github.com/fallenbagel/jellyseerr/blob/develop/CONTRIBUTING.md) to get started. ## Contributors ✨ Thanks goes to these wonderful people from Overseerr ([emoji key](https://allcontributors.org/docs/en/emoji-key)) and all those that contributed directly to Jellyseerr: ### Jellyseerr Contributors ✨ Fallenbagel 💻 🚧 Sean 🌍 💻 notfakie 💻 Mohamed Jumail 👀 Shilong Jiang 💻 Boring Dragon 💻 Samuel Bartík 💻 Thegan Govender 💻 jab416171 📖 Nicolai Van der Storm 💻 Smexhy 🌍 dd060606 💻 Daniel 💻 undone37 🌍 Chechu García 🌍 Dimitri 🌍 andrey4korop 💻 🌍 Geoffrey Coulaud 🌍 Pikachu920 💻 Maxim Yalagin 💻 Jesse Boswell 💻 d-fendrich 🌍 David Fernández Alcoba 💻 Gauvino 🌍 EthanArmbrust 💻 Eduardo 📖 RickLuiken 💻 Br33ce 🌍 Athfan Khaleel 📖 Michael Dallinger 🌍 Janek 📖 Aleksa Siriški 🚇 Danish Humair 💻 Stephen Harris 📖 Joshua M. Boniface 💻 Gauthier 💻 Kara 🚇 Joaquin Olivero 💻 Julian Behr 🌍 ThowZzy 💻 ### Overseerr Contributors ✨ sct 💻 🎨 🤔 Alex Zoitos 💻 Brandon Cohen 💻 📖 Ahreluth 🌍 KovalevArtem 🌍 GiyomuWeb 🌍 Angry Cuban 📖 jvennik 🌍 darknessgp 💻 salty 🚇 Shutruk 🌍 Krystian Charubin 🎨 Kieron Boswell 💻 samwiseg0 💬 🚇 ecelebi29 💻 📖 Mārtiņš Možeiko 💻 mazzetta86 🌍 Paul Hagedorn 🌍 Shagon94 🌍 sebstrgg 🌍 Danshil Mungur 💻 📖 doob187 🚇 johnpyp 💻 Jakob Ankarhem 📖 💻 🌍 Jayesh 💻 flying-sausages 📖 hirenshah 📖 TheCatLady 💻 🌍 📖 Chris Pritchard 💻 📖 Tamberlox 🌍 David 💻 Douglas Parker 📖 Daniel Carter 💻 nuro 📖 ᗪєνιη ᗷυнʟ 🚇 JonnyWong16 📖 Roxedus 📖 WoisWoi 🌍 HubDuck 🌍 📖 costaht 📖 🌍 Shjosan 🌍 kobaubarr 🌍 Ricardo González 🌍 Torkil 🌍 Jagandeep Brar 📖 dtalens 🌍 Alex Cortelyou 💻 Jono Cairns 💻 DJScias 🌍 Dabu-dot 🌍 Jabster28 💻 littlerooster 🌍 Dustin Hildebrandt 💻 Bruno Guerreiro 🌍 Alexander Neuhäuser 🌍 Livio 🎨 tangentThought 💻 Nicolás Espinoza 💻 sootylunatic 🌍 JoKerIsCraZy 🌍 Daddie0 🌍 Simone 🌍 Seohyun Joo 🌍 Sergey 🌍 Shaaft 🌍 sr093906 🌍 Nackophilz 🌍 Sean Chambers 💻 deniscerri 🌍 tomgacz 🌍 Andersborrits 🌍 Maxent 🌍 Samuel Bartík 💻 Chun Yeung Wong 💻 TheMeanCanEHdian 💻 Gylesie 💻 Fhd-pro 🌍 PovilasID 🌍 byakurau 🌍 miknii 🌍 Mackenzie 💻 soup 📖 ceptonit 📖 aedelbro 💻 Pedro Nascimento 💻 Owen Voke 💻 Sebastian K 💻 jariz 💻 Alex 💻 Zeb Muller 💻 Shane Friedman 💻 Izaac Brånn 💻 Salman Tariq 💻 Andrew Kennedy 💻 Fallenbagel 🪼⌨️ 💻 Anton K. (ai Doge) 💻 Marco Faggian 💻 Eric Nemchik 💻 RemiRigal 💻 Joseph Risk 💻 Loetwiek 💻 Fuochi 📖

Fork of overseerr for jellyfin support

docker,emby,jellyfin,movie,notifications,nzb,plex,radarr,sonarr,tv

histoire-dev/histoire

Histoire Fast and beautiful interactive component playgrounds Read the Documentation | Discord server | Discussions board ⚡️ Lightning fast development and instant HMR thanks to Vite 👓 Build and visually test your components in isolation 📚 Document your components with stories and variants 📝 Generate source code examples automatically 🎨 Beautiful and customizable interface Contributing See Contributing Guide to learn more about the repository and how you can contribute. Sponsors Become a sponsor! Guillaume Chau Hugo Attal We are very grateful to all our sponsors for their support: Guillaume Chau License MIT

⚡ Fast and beautiful interactive component playgrounds, powered by Vite

javascript,story,sveltejs,vitejs,vuejs

WhiskeySockets/Baileys

Baileys - Typescript/Javascript WhatsApp Web API Important Note This library was originally a project for CS-2362 at Ashoka University and is in no way affiliated with or endorsed by WhatsApp. Use at your own discretion. Do not spam people with this. We discourage any stalkerware, bulk or automated messaging usage. Liability and License Notice Baileys and its maintainers cannot be held liable for misuse of this application, as stated in the MIT license . The maintainers of Baileys do not in any way condone the use of this application in practices that violate the Terms of Service of WhatsApp. The maintainers of this application call upon the personal responsibility of its users to use this application in a fair way, as it is intended to be used. Baileys does not require Selenium or any other browser to be interface with WhatsApp Web, it does so directly using a WebSocket . Not running Selenium or Chromimum saves you like half a gig of ram :/ Baileys supports interacting with the multi-device & web versions of WhatsApp. Thank you to @pokearaujo for writing his observations on the workings of WhatsApp Multi-Device. Also, thank you to @Sigalor for writing his observations on the workings of WhatsApp Web and thanks to @Rhymen for the go implementation. Please Read The original repository had to be removed by the original author - we now continue development in this repository here. This is the only official repository and is maintained by the community. Join the Discord here Example Do check out & run example.ts to see an example usage of the library. The script covers most common use cases. To run the example script, download or clone the repo and then type the following in a terminal: 1. cd path/to/Baileys 2. yarn 3. yarn example Install Use the stable version: yarn add @whiskeysockets/baileys Use the edge version (no guarantee of stability, but latest fixes + features) yarn add github:WhiskeySockets/Baileys Then import your code using: ts import makeWASocket from '@whiskeysockets/baileys' Unit Tests TODO Connecting multi device (recommended) WhatsApp provides a multi-device API that allows Baileys to be authenticated as a second WhatsApp client by scanning a QR code with WhatsApp on your phone. ``` ts import makeWASocket, { DisconnectReason } from '@whiskeysockets/baileys' import { Boom } from '@hapi/boom' async function connectToWhatsApp () { const sock = makeWASocket({ // can provide additional config here printQRInTerminal: true }) sock.ev.on('connection.update', (update) => { const { connection, lastDisconnect } = update if(connection === 'close') { const shouldReconnect = (lastDisconnect.error as Boom)?.output?.statusCode !== DisconnectReason.loggedOut console.log('connection closed due to ', lastDisconnect.error, ', reconnecting ', shouldReconnect) // reconnect if not logged out if(shouldReconnect) { connectToWhatsApp() } } else if(connection === 'open') { console.log('opened connection') } }) sock.ev.on('messages.upsert', m => { console.log(JSON.stringify(m, undefined, 2)) console.log('replying to', m.messages[0].key.remoteJid) await sock.sendMessage(m.messages[0].key.remoteJid!, { text: 'Hello there!' }) }) } // run in main file connectToWhatsApp() ``` If the connection is successful, you will see a QR code printed on your terminal screen, scan it with WhatsApp on your phone and you'll be logged in! Note: install qrcode-terminal using yarn add qrcode-terminal to auto-print the QR to the terminal. Note: the code to support the legacy version of WA Web (pre multi-device) has been removed in v5. Only the standard multi-device connection is now supported. This is done as WA seems to have completely dropped support for the legacy version. Connecting native mobile api Baileys also supports the native mobile API, which allows users to authenticate as a standalone WhatsApp client using their phone number. Run the example file with --mobile cli flag to use the native mobile API. Configuring the Connection You can configure the connection by passing a SocketConfig object. The entire SocketConfig structure is mentioned here with default values: ``` ts type SocketConfig = { / the WS url to connect to WA */ waWebSocketUrl: string | URL / Fails the connection if the socket times out in this interval / connectTimeoutMs: number / Default timeout for queries, undefined for no timeout / defaultQueryTimeoutMs: number | undefined / ping-pong interval for WS connection */ keepAliveIntervalMs: number / proxy agent / agent?: Agent / pino logger / logger: Logger / version to connect with */ version: WAVersion / override browser config / browser: WABrowserDescription / agent used for fetch requests -- uploading/downloading media / fetchAgent?: Agent / should the QR be printed in the terminal */ printQRInTerminal: boolean / should events be emitted for actions done by this socket connection / emitOwnEvents: boolean / provide a cache to store media, so does not have to be re-uploaded / mediaCache?: NodeCache / custom upload hosts to upload media to */ customUploadHosts: MediaConnInfo['hosts'] / time to wait between sending new retry requests / retryRequestDelayMs: number / max msg retry count / maxMsgRetryCount: number / time to wait for the generation of the next QR in ms */ qrTimeout?: number; / provide an auth state object to maintain the auth state / auth: AuthenticationState / manage history processing with this control; by default will sync up everything / shouldSyncHistoryMessage: (msg: proto.Message.IHistorySyncNotification) => boolean / transaction capability options for SignalKeyStore */ transactionOpts: TransactionCapabilityOptions / provide a cache to store a user's device list / userDevicesCache?: NodeCache / marks the client as online whenever the socket successfully connects / markOnlineOnConnect: boolean / * map to store the retry counts for failed messages; * used to determine whether to retry a message or not */ msgRetryCounterMap?: MessageRetryMap / width for link preview images / linkPreviewImageThumbnailWidth: number / Should Baileys ask the phone for full history, will be received async / syncFullHistory: boolean / Should baileys fire init queries automatically, default true */ fireInitQueries: boolean / * generate a high quality link preview, * entails uploading the jpegThumbnail to WA * */ generateHighQualityLinkPreview: boolean /** options for axios */ options: AxiosRequestConfig<any> /** * fetch a message from your store * implement this so that messages failed to send (solves the "this message can take a while" issue) can be retried * */ getMessage: (key: proto.IMessageKey) => Promise<proto.IMessage | undefined> } ``` Emulating the Desktop app instead of the web Baileys, by default, emulates a chrome web session If you'd like to emulate a desktop connection (and receive more message history), add this to your Socket config: ts const conn = makeWASocket({ ...otherOpts, // can use Windows, Ubuntu here too browser: Browsers.macOS('Desktop'), syncFullHistory: true }) Saving & Restoring Sessions You obviously don't want to keep scanning the QR code every time you want to connect. So, you can load the credentials to log back in: ``` ts import makeWASocket, { BufferJSON, useMultiFileAuthState } from '@whiskeysockets/baileys' import * as fs from 'fs' // utility function to help save the auth state in a single folder // this function serves as a good guide to help write auth & key states for SQL/no-SQL databases, which I would recommend in any production grade system const { state, saveCreds } = await useMultiFileAuthState('auth_info_baileys') // will use the given state to connect // so if valid credentials are available -- it'll connect without QR const conn = makeWASocket({ auth: state }) // this will be called as soon as the credentials are updated conn.ev.on ('creds.update', saveCreds) ``` Note: When a message is received/sent, due to signal sessions needing updating, the auth keys ( authState.keys ) will update. Whenever that happens, you must save the updated keys ( authState.keys.set() is called). Not doing so will prevent your messages from reaching the recipient & cause other unexpected consequences. The useMultiFileAuthState function automatically takes care of that, but for any other serious implementation -- you will need to be very careful with the key state management. Listening to Connection Updates Baileys now fires the connection.update event to let you know something has updated in the connection. This data has the following structure: ts type ConnectionState = { /** connection is now open, connecting or closed */ connection: WAConnectionState /** the error that caused the connection to close */ lastDisconnect?: { error: Error date: Date } /** is this a new login */ isNewLogin?: boolean /** the current QR code */ qr?: string /** has the device received all pending notifications while it was offline */ receivedPendingNotifications?: boolean } Note: this also offers any updates to the QR Handling Events Baileys uses the EventEmitter syntax for events. They're all nicely typed up, so you shouldn't have any issues with an Intellisense editor like VS Code. The events are typed as mentioned here: ``` ts export type BaileysEventMap = { / connection state has been updated -- WS closed, opened, connecting etc. */ 'connection.update': Partial / credentials updated -- some metadata, keys or something / 'creds.update': Partial / history sync, everything is reverse chronologically sorted / 'messaging-history.set': { chats: Chat[] contacts: Contact[] messages: WAMessage[] isLatest: boolean } / upsert chats */ 'chats.upsert': Chat[] / update the given chats / 'chats.update': Partial [] / delete chats with given ID / 'chats.delete': string[] 'labels.association': LabelAssociation 'labels.edit': Label /* presence of contact in a chat updated / 'presence.update': { id: string, presences: { [participant: string]: PresenceData } } 'contacts.upsert': Contact[] 'contacts.update': Partial<Contact>[] 'messages.delete': { keys: WAMessageKey[] } | { jid: string, all: true } 'messages.update': WAMessageUpdate[] 'messages.media-update': { key: WAMessageKey, media?: { ciphertext: Uint8Array, iv: Uint8Array }, error?: Boom }[] /** * add/update the given messages. If they were received while the connection was online, * the update will have type: "notify" * */ 'messages.upsert': { messages: WAMessage[], type: MessageUpsertType } /** message was reacted to. If reaction was removed -- then "reaction.text" will be falsey */ 'messages.reaction': { key: WAMessageKey, reaction: proto.IReaction }[] 'message-receipt.update': MessageUserReceiptUpdate[] 'groups.upsert': GroupMetadata[] 'groups.update': Partial<GroupMetadata>[] /** apply an action to participants in a group */ 'group-participants.update': { id: string, participants: string[], action: ParticipantAction } 'blocklist.set': { blocklist: string[] } 'blocklist.update': { blocklist: string[], type: 'add' | 'remove' } /** Receive an update on a call, including when the call was received, rejected, accepted */ 'call': WACallEvent[] } ``` You can listen to these events like this: ``` ts const sock = makeWASocket() sock.ev.on('messages.upsert', ({ messages }) => { console.log('got messages', messages) }) ``` Implementing a Data Store Baileys does not come with a defacto storage for chats, contacts, or messages. However, a simple in-memory implementation has been provided. The store listens for chat updates, new messages, message updates, etc., to always have an up-to-date version of the data. It can be used as follows: ``` ts import makeWASocket, { makeInMemoryStore } from '@whiskeysockets/baileys' // the store maintains the data of the WA connection in memory // can be written out to a file & read from it const store = makeInMemoryStore({ }) // can be read from a file store.readFromFile('./baileys_store.json') // saves the state to a file every 10s setInterval(() => { store.writeToFile('./baileys_store.json') }, 10_000) const sock = makeWASocket({ }) // will listen from this socket // the store can listen from a new socket once the current socket outlives its lifetime store.bind(sock.ev) sock.ev.on('chats.set', () => { // can use "store.chats" however you want, even after the socket dies out // "chats" => a KeyedDB instance console.log('got chats', store.chats.all()) }) sock.ev.on('contacts.set', () => { console.log('got contacts', Object.values(store.contacts)) }) ``` The store also provides some simple functions such as loadMessages that utilize the store to speed up data retrieval. Note: I highly recommend building your own data store especially for MD connections, as storing someone's entire chat history in memory is a terrible waste of RAM. Sending Messages Send all types of messages with a single function: Non-Media Messages ``` ts import { MessageType, MessageOptions, Mimetype } from '@whiskeysockets/baileys' const id = 'abcd@s.whatsapp.net' // the WhatsApp ID // send a simple text! const sentMsg = await sock.sendMessage(id, { text: 'oh hello there' }) // send a reply messagge const sentMsg = await sock.sendMessage(id, { text: 'oh hello there' }, { quoted: message }) // send a mentions message const sentMsg = await sock.sendMessage(id, { text: '@12345678901', mentions: ['12345678901@s.whatsapp.net'] }) // send a location! const sentMsg = await sock.sendMessage( id, { location: { degreesLatitude: 24.121231, degreesLongitude: 55.1121221 } } ) // send a contact! const vcard = 'BEGIN:VCARD\n' // metadata of the contact card + 'VERSION:3.0\n' + 'FN:Jeff Singh\n' // full name + 'ORG:Ashoka Uni;\n' // the organization of the contact + 'TEL;type=CELL;type=VOICE;waid=911234567890:+91 12345 67890\n' // WhatsApp ID + phone number + 'END:VCARD' const sentMsg = await sock.sendMessage( id, { contacts: { displayName: 'Jeff', contacts: [{ vcard }] } } ) const reactionMessage = { react: { text: "💖", // use an empty string to remove the reaction key: message.key } } const sendMsg = await sock.sendMessage(id, reactionMessage) ``` Sending messages with link previews By default, WA MD does not have link generation when sent from the web Baileys has a function to generate the content for these link previews To enable this function's usage, add link-preview-js as a dependency to your project with yarn add link-preview-js Send a link: ts // send a link const sentMsg = await sock.sendMessage(id, { text: 'Hi, this was sent using https://github.com/adiwajshing/baileys' }) Media Messages Sending media (video, stickers, images) is easier & more efficient than ever. - You can specify a buffer, a local url or even a remote url. - When specifying a media url, Baileys never loads the entire buffer into memory; it even encrypts the media as a readable stream. ``` ts import { MessageType, MessageOptions, Mimetype } from '@whiskeysockets/baileys' // Sending gifs await sock.sendMessage( id, { video: fs.readFileSync("Media/ma_gif.mp4"), caption: "hello!", gifPlayback: true } ) await sock.sendMessage( id, { video: "./Media/ma_gif.mp4", caption: "hello!", gifPlayback: true, ptv: false // if set to true, will send as a video note } ) // send an audio file await sock.sendMessage( id, { audio: { url: "./Media/audio.mp3" }, mimetype: 'audio/mp4' } { url: "Media/audio.mp3" }, // can send mp3, mp4, & ogg ) ``` Notes id is the WhatsApp ID of the person or group you're sending the message to. It must be in the format [country code][phone number]@s.whatsapp.net Example for people: +19999999999@s.whatsapp.net . For groups, it must be in the format 123456789-123345@g.us . For broadcast lists, it's [timestamp of creation]@broadcast . For stories, the ID is status@broadcast . For media messages, the thumbnail can be generated automatically for images & stickers provided you add jimp or sharp as a dependency in your project using yarn add jimp or yarn add sharp . Thumbnails for videos can also be generated automatically, though, you need to have ffmpeg installed on your system. MiscGenerationOptions : some extra info about the message. It can have the following optional values: ts const info: MessageOptions = { quoted: quotedMessage, // the message you want to quote contextInfo: { forwardingScore: 2, isForwarded: true }, // some random context info (can show a forwarded message with this too) timestamp: Date(), // optional, if you want to manually set the timestamp of the message caption: "hello there!", // (for media messages) the caption to send with the media (cannot be sent with stickers though) jpegThumbnail: "23GD#4/==", /* (for location & media messages) has to be a base 64 encoded JPEG if you want to send a custom thumb, or set to null if you don't want to send a thumbnail. Do not enter this field if you want to automatically generate a thumb */ mimetype: Mimetype.pdf, /* (for media messages) specify the type of media (optional for all media types except documents), import {Mimetype} from '@whiskeysockets/baileys' */ fileName: 'somefile.pdf', // (for media messages) file name for the media /* will send audio messages as voice notes, if set to true */ ptt: true, /** Should it send as a disappearing messages. * By default 'chat' -- which follows the setting of the chat */ ephemeralExpiration: WA_DEFAULT_EPHEMERAL } Forwarding Messages ts const msg = getMessageFromStore('455@s.whatsapp.net', 'HSJHJWH7323HSJSJ') // implement this on your end await sock.sendMessage('1234@s.whatsapp.net', { forward: msg }) // WA forward the message! Reading Messages A set of message keys must be explicitly marked read now. In multi-device, you cannot mark an entire "chat" read as it were with Baileys Web. This means you have to keep track of unread messages. ts const key = { remoteJid: '1234-123@g.us', id: 'AHASHH123123AHGA', // id of the message you want to read participant: '912121232@s.whatsapp.net' // the ID of the user that sent the message (undefined for individual chats) } // pass to readMessages function // can pass multiple keys to read multiple messages as well await sock.readMessages([key]) The message ID is the unique identifier of the message that you are marking as read. On a WAMessage , the messageID can be accessed using messageID = message.key.id . Update Presence ``` ts await sock.sendPresenceUpdate('available', id) This lets the person/group with id ``` know whether you're online, offline, typing etc. presence can be one of the following: ts type WAPresence = 'unavailable' | 'available' | 'composing' | 'recording' | 'paused' The presence expires after about 10 seconds. Note: In the multi-device version of WhatsApp -- if a desktop client is active, WA doesn't send push notifications to the device. If you would like to receive said notifications -- mark your Baileys client offline using sock.sendPresenceUpdate('unavailable') Downloading Media Messages If you want to save the media you received ``` ts import { writeFile } from 'fs/promises' import { downloadMediaMessage } from '@whiskeysockets/baileys' sock.ev.on('messages.upsert', async ({ messages }) => { const m = messages[0] if (!m.message) return // if there is no text or media message const messageType = Object.keys (m.message)[0]// get what type of message it is -- text, image, video // if the message is an image if (messageType === 'imageMessage') { // download the message const buffer = await downloadMediaMessage( m, 'buffer', { }, { logger, // pass this so that baileys can request a reupload of media // that has been deleted reuploadRequest: sock.updateMediaMessage } ) // save to file await writeFile('./my-download.jpeg', buffer) } } ``` Note: WhatsApp automatically removes old media from their servers. For the device to access said media -- a re-upload is required by another device that has it. This can be accomplished using: ts const updatedMediaMsg = await sock.updateMediaMessage(msg) Deleting Messages ts const jid = '1234@s.whatsapp.net' // can also be a group const response = await sock.sendMessage(jid, { text: 'hello!' }) // send a message // sends a message to delete the given message // this deletes the message for everyone await sock.sendMessage(jid, { delete: response.key }) Note: deleting for oneself is supported via chatModify (next section) Updating Messages ``` ts const jid = '1234@s.whatsapp.net' await sock.sendMessage(jid, { text: 'updated text goes here', edit: response.key, }); ``` Modifying Chats WA uses an encrypted form of communication to send chat/app updates. This has been implemented mostly and you can send the following updates: Archive a chat ts const lastMsgInChat = await getLastMessageInChat('123456@s.whatsapp.net') // implement this on your end await sock.chatModify({ archive: true, lastMessages: [lastMsgInChat] }, '123456@s.whatsapp.net') Mute/unmute a chat ts // mute for 8 hours await sock.chatModify({ mute: 8*60*60*1000 }, '123456@s.whatsapp.net', []) // unmute await sock.chatModify({ mute: null }, '123456@s.whatsapp.net', []) Mark a chat read/unread ts const lastMsgInChat = await getLastMessageInChat('123456@s.whatsapp.net') // implement this on your end // mark it unread await sock.chatModify({ markRead: false, lastMessages: [lastMsgInChat] }, '123456@s.whatsapp.net') Delete a message for me ``` ts await sock.chatModify( { clear: { messages: [{ id: 'ATWYHDNNWU81732J', fromMe: true, timestamp: "1654823909" }] } }, '123456@s.whatsapp.net', [] ) ``` Delete a chat ts const lastMsgInChat = await getLastMessageInChat('123456@s.whatsapp.net') // implement this on your end await sock.chatModify({ delete: true, lastMessages: [{ key: lastMsgInChat.key, messageTimestamp: lastMsgInChat.messageTimestamp }] }, '123456@s.whatsapp.net') Pin/unpin a chat ts await sock.chatModify({ pin: true // or `false` to unpin }, '123456@s.whatsapp.net') Star/unstar a message ts await sock.chatModify({ star: { messages: [{ id: 'messageID', fromMe: true // or `false` }], star: true // - true: Star Message; false: Unstar Message }},'123456@s.whatsapp.net'); Note: if you mess up one of your updates, WA can log you out of all your devices and you'll have to log in again. Disappearing Messages ``` ts const jid = '1234@s.whatsapp.net' // can also be a group // turn on disappearing messages await sock.sendMessage( jid, // this is 1 week in seconds -- how long you want messages to appear for { disappearingMessagesInChat: WA_DEFAULT_EPHEMERAL } ) // will send as a disappearing message await sock.sendMessage(jid, { text: 'hello' }, { ephemeralExpiration: WA_DEFAULT_EPHEMERAL }) // turn off disappearing messages await sock.sendMessage( jid, { disappearingMessagesInChat: false } ) ``` Misc To check if a given ID is on WhatsApp ts const id = '123456' const [result] = await sock.onWhatsApp(id) if (result.exists) console.log (`${id} exists on WhatsApp, as jid: ${result.jid}`) To query chat history on a group or with someone TODO, if possible To get the status of some person ts const status = await sock.fetchStatus("xyz@s.whatsapp.net") console.log("status: " + status) To change your profile status ts const status = 'Hello World!' await sock.updateProfileStatus(status) To change your profile name ts const name = 'My name' await sock.updateProfileName(name) To get the display picture of some person/group ts // for low res picture const ppUrl = await sock.profilePictureUrl("xyz@g.us") console.log("download profile picture from: " + ppUrl) // for high res picture const ppUrl = await sock.profilePictureUrl("xyz@g.us", 'image') To change your display picture or a group's ts const jid = '111234567890-1594482450@g.us' // can be your own too await sock.updateProfilePicture(jid, { url: './new-profile-picture.jpeg' }) To remove your display picture or a group's ts const jid = '111234567890-1594482450@g.us' // can be your own too await sock.removeProfilePicture(jid) To get someone's presence (if they're typing or online) ts // the presence update is fetched and called here sock.ev.on('presence.update', json => console.log(json)) // request updates for a chat await sock.presenceSubscribe("xyz@s.whatsapp.net") To block or unblock user ts await sock.updateBlockStatus("xyz@s.whatsapp.net", "block") // Block user await sock.updateBlockStatus("xyz@s.whatsapp.net", "unblock") // Unblock user To get a business profile, such as description or category ts const profile = await sock.getBusinessProfile("xyz@s.whatsapp.net") console.log("business description: " + profile.description + ", category: " + profile.category) Of course, replace xyz with an actual ID. Groups To create a group ts // title & participants const group = await sock.groupCreate("My Fab Group", ["1234@s.whatsapp.net", "4564@s.whatsapp.net"]) console.log ("created group with id: " + group.gid) sock.sendMessage(group.id, { text: 'hello there' }) // say hello to everyone on the group To add/remove people to a group or demote/promote people ts // id & people to add to the group (will throw error if it fails) const response = await sock.groupParticipantsUpdate( "abcd-xyz@g.us", ["abcd@s.whatsapp.net", "efgh@s.whatsapp.net"], "add" // replace this parameter with "remove", "demote" or "promote" ) To change the group's subject ts await sock.groupUpdateSubject("abcd-xyz@g.us", "New Subject!") To change the group's description ts await sock.groupUpdateDescription("abcd-xyz@g.us", "New Description!") To change group settings ts // only allow admins to send messages await sock.groupSettingUpdate("abcd-xyz@g.us", 'announcement') // allow everyone to send messages await sock.groupSettingUpdate("abcd-xyz@g.us", 'not_announcement') // allow everyone to modify the group's settings -- like display picture etc. await sock.groupSettingUpdate("abcd-xyz@g.us", 'unlocked') // only allow admins to modify the group's settings await sock.groupSettingUpdate("abcd-xyz@g.us", 'locked') To leave a group ts await sock.groupLeave("abcd-xyz@g.us") // (will throw error if it fails) To get the invite code for a group ts const code = await sock.groupInviteCode("abcd-xyz@g.us") console.log("group code: " + code) To revoke the invite code in a group ts const code = await sock.groupRevokeInvite("abcd-xyz@g.us") console.log("New group code: " + code) To query the metadata of a group ts const metadata = await sock.groupMetadata("abcd-xyz@g.us") console.log(metadata.id + ", title: " + metadata.subject + ", description: " + metadata.desc) To join the group using the invitation code ts const response = await sock.groupAcceptInvite("xxx") console.log("joined to: " + response) Of course, replace xxx with invitation code. To get group info by invite code ts const response = await sock.groupGetInviteInfo("xxx") console.log("group information: " + response) To join the group using groupInviteMessage ts const response = await sock.groupAcceptInviteV4("abcd@s.whatsapp.net", groupInviteMessage) console.log("joined to: " + response) Of course, replace xxx with invitation code. To get list request join ts const response = await sock.groupRequestParticipantsList("abcd-xyz@g.us") console.log(response) To approve/reject request join ts const response = await sock.groupRequestParticipantsUpdate( "abcd-xyz@g.us", // id group, ["abcd@s.whatsapp.net", "efgh@s.whatsapp.net"], "approve" // replace this parameter with "reject" ) console.log(response) Privacy To get the privacy settings ts const privacySettings = await sock.fetchPrivacySettings(true) console.log("privacy settings: " + privacySettings) To update the LastSeen privacy ts const value = 'all' // 'contacts' | 'contact_blacklist' | 'none' await sock.updateLastSeenPrivacy(value) To update the Online privacy ts const value = 'all' // 'match_last_seen' await sock.updateOnlinePrivacy(value) To update the Profile Picture privacy ts const value = 'all' // 'contacts' | 'contact_blacklist' | 'none' await sock.updateProfilePicturePrivacy(value) To update the Status privacy ts const value = 'all' // 'contacts' | 'contact_blacklist' | 'none' await sock.updateStatusPrivacy(value) To update the Read Receipts privacy ts const value = 'all' // 'none' await sock.updateReadReceiptsPrivacy(value) To update the Groups Add privacy ts const value = 'all' // 'contacts' | 'contact_blacklist' | 'none' await sock.updateGroupsAddPrivacy(value) To update the Default Disappearing Mode ts const duration = 86400 // 604800 | 7776000 | 0 await sock.updateDefaultDisappearingMode(duration) Broadcast Lists & Stories Messages can be sent to broadcasts & stories. you need to add the following message options in sendMessage, like this: ts sock.sendMessage(jid, {image: {url: url}, caption: caption}, {backgroundColor : backgroundColor, font : font, statusJidList: statusJidList, broadcast : true}) - the message body can be a extendedTextMessage or imageMessage or videoMessage or voiceMessage - You can add backgroundColor and other options in the message options - broadcast: true enables broadcast mode - statusJidList: a list of people that you can get which you need to provide, which are the people who will get this status message. You can send messages to broadcast lists the same way you send messages to groups & individual chats. Right now, WA Web does not support creating broadcast lists, but you can still delete them. Broadcast IDs are in the format 12345678@broadcast To query a broadcast list's recipients & name: ts const bList = await sock.getBroadcastListInfo("1234@broadcast") console.log (`list name: ${bList.name}, recps: ${bList.recipients}`) Writing Custom Functionality Baileys is written with custom functionality in mind. Instead of forking the project & re-writing the internals, you can simply write your own extensions. First, enable the logging of unhandled messages from WhatsApp by setting: ts const sock = makeWASocket({ logger: P({ level: 'debug' }), }) This will enable you to see all sorts of messages WhatsApp sends in the console. Some examples: Functionality to track the battery percentage of your phone. You enable logging and you'll see a message about your battery pop up in the console: {"level":10,"fromMe":false,"frame":{"tag":"ib","attrs":{"from":"@s.whatsapp.net"},"content":[{"tag":"edge_routing","attrs":{},"content":[{"tag":"routing_info","attrs":{},"content":{"type":"Buffer","data":[8,2,8,5]}}]}]},"msg":"communication"} The "frame" is what the message received is, it has three components: - tag -- what this frame is about (eg. message will have "message") - attrs -- a string key-value pair with some metadata (contains ID of the message usually) - content -- the actual data (eg. a message node will have the actual message content in it) - read more about this format here You can register a callback for an event using the following: ``` ts // for any message with tag 'edge_routing' sock.ws.on(`CB:edge_routing`, (node: BinaryNode) => { }) // for any message with tag 'edge_routing' and id attribute = abcd sock.ws.on(`CB:edge_routing,id:abcd`, (node: BinaryNode) => { }) // for any message with tag 'edge_routing', id attribute = abcd & first content node routing_info sock.ws.on(`CB:edge_routing,id:abcd,routing_info`, (node: BinaryNode) => { }) ``` Also, this repo is now licenced under GPL 3 since it uses libsignal-node

Lightweight full-featured typescript/javascript WhatsApp Web API

[]

fundamentalvision/BEVFormer

# BEVFormer: a Cutting-edge Baseline for Camera-based Detection https://user-images.githubusercontent.com/27915819/161392594-fc0082f7-5c37-4919-830a-2dd423c1d025.mp4 BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers , ECCV 2022 - Paper in arXiv | Paper in Chinese | OpenDriveLab - Slides in English | Occupancy and BEV Perception Talk Slides - Blog in Chinese | Video Talk and Slides (in Chinese) - BEV Perception Survey (Accepted by PAMI) | Github repo News [2022/6/16]: We added two BEVformer configurations, which require less GPU memory than the base version. Please pull this repo to obtain the latest codes. [2022/6/13]: We release an initial version of BEVFormer. It achieves a baseline result of 51.7% NDS on nuScenes. [2022/5/23]: 🚀🚀Built on top of BEVFormer, BEVFormer++ , gathering up all best practices in recent SOTAs and our unique modification, ranks 1st on Waymo Open Datast 3D Camera-Only Detection Challenge . We will present BEVFormer++ on CVPR 2022 Autonomous Driving Workshop . [2022/3/10]: 🚀BEVFormer achieve the SOTA on nuScenes Detection Task with 56.9% NDS (camera-only)! Abstract In this work, the authors present a new framework termed BEVFormer, which learns unified BEV representations with spatiotemporal transformers to support multiple autonomous driving perception tasks. In a nutshell, BEVFormer exploits both spatial and temporal information by interacting with spatial and temporal space through predefined grid-shaped BEV queries. To aggregate spatial information, the authors design a spatial cross-attention that each BEV query extracts the spatial features from the regions of interest across camera views. For temporal information, the authors propose a temporal self-attention to recurrently fuse the history BEV information. The proposed approach achieves the new state-of-the-art 56.9\% in terms of NDS metric on the nuScenes test set, which is 9.0 points higher than previous best arts and on par with the performance of LiDAR-based baselines. Methods Getting Started Installation Prepare Dataset Run and Eval Model Zoo | Backbone | Method | Lr Schd | NDS| mAP|memroy | Config | Download | | :---: | :---: | :---: | :---: | :---:|:---:| :---: | :---: | | R50 | BEVFormer-tiny_fp16 | 24ep | 35.9|25.7 | - | config | model / log | | R50 | BEVFormer-tiny | 24ep | 35.4|25.2 | 6500M | config | model / log | | R101-DCN | BEVFormer-small | 24ep | 47.9|37.0 | 10500M | config | model / log | | R101-DCN | BEVFormer-base | 24ep | 51.7|41.6 |28500M | config | model / log | | R50 | BEVformerV2-t1-base | 24ep | 42.6 | 35.1 | 23952M | config | model/log | | R50 | BEVformerV2-t1-base | 48ep | 43.9 | 35.9 | 23952M | config | model/log | | R50 | BEVformerV2-t1 | 24ep | 45.3 | 38.1 | 37579M | config | model/log | | R50 | BEVformerV2-t1 | 48ep | 46.5 | 39.5 | 37579M | config | model/log | | R50 | BEVformerV2-t2 | 24ep | 51.8 | 42.0 | 38954M | config | model/log | | R50 | BEVformerV2-t2 | 48ep | 52.6 | 43.1 | 38954M | config | model/log | | R50 | BEVformerV2-t8 | 24ep | 55.3 | 46.0 | 40392M | config | model/log | The Baidu Driver Link for (BEVFormerV2 model and log)[https://pan.baidu.com/s/1ynzlAt1DQbH8NkqmisatTw?pwd=fdcv] is here. Catalog [ ] BEVFormerV2 HyperQuery [ ] BEVFormerV2 Optimization, including memory, speed, inference. [x] BEVFormerV2 Release [ ] BEV Segmentation checkpoints [ ] BEV Segmentation code [x] 3D Detection checkpoints [x] 3D Detection code [x] Initialization Bibtex If this work is helpful for your research, please consider citing the following BibTeX entry. @article{li2022bevformer, title={BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers}, author={Li, Zhiqi and Wang, Wenhai and Li, Hongyang and Xie, Enze and Sima, Chonghao and Lu, Tong and Qiao, Yu and Dai, Jifeng} journal={arXiv preprint arXiv:2203.17270}, year={2022} } @article{Yang2022BEVFormerVA, title={BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision}, author={Chenyu Yang and Yuntao Chen and Haofei Tian and Chenxin Tao and Xizhou Zhu and Zhaoxiang Zhang and Gao Huang and Hongyang Li and Y. Qiao and Lewei Lu and Jie Zhou and Jifeng Dai}, journal={ArXiv}, year={2022}, } Acknowledgement Many thanks to these excellent open source projects: - dd3d - detr3d - mmdet3d ↳ Stargazers ↳ Forkers

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

deep-learning,autonomous-driving,computer-vision,object-detection

devcontainers/spec

Development Containers This repository is for the Development Container Specification. You can check out the spec on our website https://containers.dev/ too. A development container allows you to use a container as a full-featured development environment. It can be used to run an application, to separate tools, libraries, or runtimes needed for working with a codebase, and to aid in continuous integration and testing. The Development Container Specification seeks to find ways to enrich existing formats with common development specific settings, tools, and configuration while still providing a simplified, un-orchestrated single container option – so that they can be used as coding environments or for continuous integration and testing. The first format in the specification, devcontainer.json , was born out of necessity. It is a structured JSON with Comments (jsonc) metadata format that tools can use to store any needed configuration required to develop inside of local or cloud-based containerized coding. We envision that this same structured data can be embedded in images and other formats – all while retaining a common object model for consistent processing. For example, some of this same metadata can be added to a devcontainer.metadata image label to tie settings directly to a container image. Beyond repeatable setup, these same development containers provide consistency to avoid environment specific problems across developers and centralized build and test automation services. You can use the open-source CLI reference implementation either directly or integrated into product experiences to use the structured metadata to deliver these benefits. It currently supports integrating with Docker Compose and a simplified, un-orchestrated single container option – so that they can be used as coding environments or for continuous integration and testing. A GitHub Action and an Azure DevOps Task are available in devcontainers/ci for running a repository's dev container in continuous integration (CI) builds. This allows you to reuse the same setup that you are using for local development to also build and test your code in CI. Spec content You may review the specification in the docs/specs folder of this repo. You may also review active proposals in the proposals folder . Images used in this repo will be contained in the images folder . The icon for the dev container GitHub org is from the Fluent icon library . Contributing and Feedback If you are interested in contributing, please check out the How to Contribute document, open an issue, or join our community Slack channel . Please report issues in the following repositories: Spec-maintained Features and Templates: devcontainers/features , devcontainers/templates CLI reference implementation and non-spec related feature requests: devcontainers/cli GitHub Action and Azure DevOps Task: devcontainers/ci License License for this repository: Copyright © Microsoft Corporation All rights reserved. Creative Commons Attribution 4.0 License (International): https://creativecommons.org/licenses/by/4.0/legalcode

Development Containers: Use a container as a full-featured development environment.

containers,devcontainers

Moataz-Elmesmary/Data-Science-Roadmap

DATA SCIENCE ROADMAP :pirate_flag: 2024 Data Science Roadmap for anyone interested in how to break into the field! This repository is intended to provide a free Self-Learning Roadmap to learn the field of Data Science. I provide some of the best free resources. Our Previous Roadmap ♥️ :warning: Before we start, :warning: If you Dont know What`s Data Science or Projects Life Cycle (starting from Business Understanding to Deployment) or Which Programming Language you should go for or Job Descriptions or the required Soft & Hard Skills needed for this field or Data Science Applications or the Most Common Mistakes, then :pushpin: This Video is for you (Highly Recommended :heavy_check_mark:) Data Science vs Data Analytics vs Data Engineering - What's the Difference? These terms are wrongly used interchangeably among people. There are distinct differences: | :small_orange_diamond: Data Science | :small_orange_diamond: Data Analytics | :small_orange_diamond: Data Engineering | | ------------- | --------------------- | -------------------- | | Is a multidisciplinary field that focuses on looking at raw and structured data sets and providing potential actionable insights. The field of Data Science looks at ensuring we are asking the right questions as opposed to finding exact answers. Data Scientist require skillsets that are centered on Computer Science, Mathematics, and Statistics. Data Scientist use several unique techniques to analyze data such as machine learning, trends, linear regressions, and predictive modeling. The tools Data Scientist use to apply these techniques include Python and R. | Focuses on looking at existing data sets and creating solutions to capture data, process data, and finally organize data to draw actionable insights. This field looks at finding general process, business, and engineering improvements we can make based on questions we don't know the answers to. Data Analytics require skillsets that are centered on Statistics, Mathematics, and high level understanding of Computer Science. It involves data cleaning, data visualization, and simple modeling. Common Data Analytic tools used include Microsoft Power Bi, Tableau, and SQL. | Focuses on creating the correct infrastructure and tools required to support the business. Data Engineers look at what are the optimal ways to store and extract data and involves writing scripts and building data warehouses. Data Engineering require skillsets that are centered on Software Engineering, Computer Science and high level Data Science. The tools Data Engineers utilize are mainly Python, Java, Scala, Hadoop, and Spark. | Prepare your workspace Tip :one: : Pick one and stick to it. (:file_folder:Click) [Anaconda](https://www.anaconda.com/products/distribution): It’s a tool kit that fulfills all your necessities in writing and running code. From Powershell prompt to Jupyter Notebook and PyCharm, even R Studio (if interested to try R)  [Atom](https://atom.io/packages/ide-python): A more advanced Python interface, highly recommended by experts. [Google Colab](https://colab.research.google.com/notebooks/intro.ipynb): It’s like a Jupyter Notebook but in the cloud. You don’t need to install anything locally. All the important libraries are already installed. For example NumPy, Pandas, Matplotlib, and Sci-kit Learn [PyCharm](https://www.jetbrains.com/): PyCharm is another excellent IDE that enables you to integrate with libraries such as NumPy and Matplotlib, allowing you to work with array viewers and interactive plots. [Thonny](https://thonny.org/): Thonny is an IDE for teaching and learning programming. Thonny is equipped with a debugger, and supports code completion, and highlights syntax errors. Most learning platforms have integrated code exercises where you don’t need to install anything locally. But to learn it right, you should have an IDE installed on your local machine. Suggestions will be a marketplace with many options and few improvements from one platform to another. Tip :two: : Focus on one course at least. Tip :three: : Don’t chase certifications. Tip :four: : Don’t rush for ML without having a good background in programming & maths. This track is divided into 3 phases :arrow_down: : 1. Beginner: you get a basic understanding of data analysis, tools and techniques. 2. Intermediate: dive deeper in more complex topics of ML, Math and data engineering. 3. Advanced: where we learn more advanced Math, DL and Deployment. :bell: For Data Camp courses, github student pack gives 3 free months. Google how to get it. if you already used it, do not hesitate to contact us to have an account with free access.:hibiscus: Legend :video_camera: Video Content :closed_book: Online Article Content / Book 💡 Roadmap Explanation ▶️ Youtube Video :movie_camera: 🔰 Beginner 🔰 Algorithms Book Every piece of code could be called an algorithm, but this book covers the more interesting bits. Specializations (data structures-algorithms) 1. Descriptive Statistics 📹 Intro to descriptive statistics | Same Course on YouTube 📹 Statistics Fundamentals - StatQuest - Youtube 📕 Online statistics education 📕 Intro to descriptive statistics Article1 & Article2 📹 Arabic Course 📹 Intro to Inferential Statistics ++ 📕 Practical Statistics for Data Scientists 2. Probability 📹 Khan Academy 📹 Arabic Course 📕 Introduction to Probability 3. Programming Languages 🔹 R - good tool for visualization and statistical analysis. 📹 Introduction to R (Datacamp) 📹 Data Science Specialization - coursera 📕 An Introduction to R 📕 R for Data Science 🔹 Python :100: 📹 Introduction to Python Programming 📹 OOP 📹 Arabic - Hassouna | Elzero 📹 Python Full Course - FreeCodeCamp on YouTube 📕 Intro to Python for CS and Data Science more in OOP 4. Pandas 📹 Corey Schafer-Youtube 📕 Kaggle 📕 Docs 📹 Data School-Youtube 📹 Arabic Course 📹 PandasAI🐼 1 - 2 Enhances the capabilities of Pandas by integrating Generative AI functionalities into it. 5. Numpy 📕 Kaggle 📹 Arabic Course 📕 Tutorial 📕 Docs 6. Scipy 📕 Tutorial 📕 Docs 7. Data Cleaning : One of the MOST important skills that you need to master to become a good data scientist, you need to practice on many datasets to master it. Read this 📹 Course 1 📕 Notebook1 📕 Notebook2 📕 Notebook3 📕 Kaggle Data cleaning 8. Data Visualization :bar_chart: 📹 Introduction to Data Visualization with Matplotlib or 📹 Corey Schafer - Playlist on Youtube or 📹 sentdex - Playlist on YouTube 📕 Kaggle to Data Visualization with Seaborn 📹 Playlist-Youtube 📹 Course1: Intro to Data Visualization with Seaborn 📹 Course2: Intermediate Data Visualization with Seaborn 📹 Course3: Understanding and Visualizing with Python 9. EDA Note: it's already mentioned in the above probability course 📹 DataCamp-EDA in Python 📹 IBM-EDA for Machine Learning 10. Dashboards Power BI 📹 Power BI - Youtube (Alex) 📹 Power BI training 📹 Arabic - Youtube (Zanoon) 📹 Arabic - Youtube Tableau 📕 Tutorial 📹 docs 📹 course - datacamp 📹 Simplilearn - Youtube 11. SQL and DB 📹 SQL for Data Analysis ( Udacity -notes l📋l or simplilearn ) 📹 Intro to SQL or IBM (SQL for Data Science) 📹 Intro to Relational Databases in SQL 📹 Arabic Course 📹 Arabic -ITI by Eng.Ramy Advanced - [Course Materials] 📹 365 Data Science - SQL 📝 Practice HackerRank & DataLemur 12. Python Regular Expression 📕 Tutorial 13. Time Series Analysis 📹 Track - DataCamp 📹 Course - Coursera 📕 Book 📕 fbprohet 📹 Arabic Source Video1 & Video2 At The end of Beginner phase apply all what you've learned on a project. 🔰 Intermediate 🔰 1. Math for ML : consists of Linear Algebra, Calculus and PCA. 📹 Mathematics for Machine Learning and Data Science - Andrew Ng 📹 Specialization 📹 Mathematics for Machine Learning - Most of the needed basics :small_blue_diamond:Linear Algebra 📹 Khan Academy - Linear Algebra 📹 Mathematics for Machine Learning: Linear Algebra 📹 3Blue1Brown - Essence of Linear Algebra :small_blue_diamond:Calculus 📹 Multivariate Calculus - Coursera 📹 Essence of calculus - Youtube :small_blue_diamond:PCA 📹 PCA - Coursera 2. Machine Learning 📹 Coursera - Old Course by Andrew Ng (Octave/Matlab) 📹 Coursera Andrew`s new ML Specialization (Python) 📹 Machine Learning - StatQuest - YouTube 📹 Machine Learning Stanford Full Course on YouTube by Andrew 📹 CS480/680 Intro to Machine Learning - Spring 2019 - University of Waterloo 📹 SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo) 📹 Machine Learning for Engineers 2022 / ( YouTube ) 📹 Introduction to Machine Learning Course - Udacity 📹 Hesham Asem - Arabic content 📹 IBM ML with Python 📹 Machine Learning From Scratch - YouTube (Python Engineer) 📕 Hands On ML ( 1st & 2nd & 3rd ) Editions | Code: 📹 ML Algorithms in Practice 📹 ML scientist 📹 Project 3. Web Scraping/APIs 📹 course 📕 intro2 📕 Tutorial 📕 Book for both topics APIs 📕 Tutorial 📕 Article 📕 Tutorial 4. Stats. 📕 This stats - Book 📕 Think Bayes - Book 5. Advanced SQL 📹 Joining Data in SQL - DataCamp 📹 Intermediate SQL - DataCamp 📹 More advanced SQL 7. Feature Engineering 📕 Tutorial 📕 Article 📕 Book 8. interpet Shapley-based explanations of ML models. 📕 SHAP 📕 Kaggle ML explainability After finishing this level apply to 2 or 3 good sized projects. Read this book, please :open_book: Introduction to Statistical Learning with Applications in R بقولك اقرأه 🔰 Advanced 🔰 1. Deep Learning 📹 Deep Learning Fundamentals 📹 Introduction to Deep Learning - MIT 📹 Specialization 📕 Dive into Deep Learning (En) | (Ar) version :arrow_right: Part1 & Part2 📹 Deep Learning UC Berkely 📕 github of Dive into DL 📹 Stanford Lecture - Convolutional Neural Networks for Visual Recognition 📹 University of Waterloo - ML / DL 📕 Deep Learning for coders with fastai & PyTorch 2. Tensorflow 📹 Specialization 📹 Youtube fast.ai's Deep Learning Courses ###### TensorFlow beats PyTorch in visualization capabilities and deploying trained models. Go for PyTorch if you want flexibility, debugging capabilities, and short training duration. 3. PyTorch 📹 PyTorch (UC Berkeley - Youtube) - Lec3 (The 5 parts) 📹 PyTorch - Dr. Data Science - Youtube 📹 Pytorch Tutorial - Aladdin - Youtube 📹 PyTorch Course (2022) - Youtube 📕 Deep Learning With Pytorch 📕 Machine Learning with PyTorch and Scikit-Learn -2022 4. Advanced Data Science 📹 Advanced Data Science with IBM Specialization Includes Apache Spark ☠️ Advanced ML Topics🧠 | Lecs (YouTube) 📹 Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022 - Materials 📹 18.409 Algorithmic Aspects of Machine Learning Spring 2015 - MIT ☠️ ML based Computer Vision | Lecs (YouTube) 📹 CS 198-126: Modern Computer Vision Fall 2022 (UC Berkeley) 📹 NOC:Deep Learning For Visual Computing - IIT Kharagpur 📹 Deep Learning for Computer Vision - Michigan 5. NLP 📹 Specialization - Coursera 📹 Arabic - Ahmed El Sallab 📹 Stanford CS224N Lectures - Winter 2021- YouTube 📹 Stanford XCS224U Lectures - Spring 2021- YouTube 📹 Introduction to Natural Language Processing in Python 🔸 LLMS What`s Large Language Model ? 📹 Generative AI for Everyone (Andrew Nj) - Coursera 🆕 📹 Generative AI with LLMs 📹 LLM Foundations 📹 How ChatGPTs / Transformers work? 1 - 2 - 3 overview & Maths behind 📹 Prompt Engineering | ( Ar ) If you want to get the most out of LLMs 📹 LLMOps A Lec going through the entire LLM pipeline 6. Inferential Statistics 📹 Specialization, 2nd & 3rd courses 📹 course 7. Bayesian Statistics 📹 1 - From Concept to Data Analysis 📹 2 - Techniques and Models 📹 3 - Mixture Models 8. Model Deployment 📕 Flask tutorial 📹 TensorFlow: Data and Deployment Specialization 📹 Deploy Models with TensorFlow Serving and Flask 📹 How to Deploy a Machine Learning Model to Google Cloud - Daniel Bourke if you`re interested in more deployment methods, search for ( FastAPI - Heroku - chitra ) 9. MLOps : is a combination of Model Deployment, Model Serving, Model Monitoring, and Model Maintenance. 🔗 MLOps-zoomcamp 🔗 MLOps-guide 📕 Practical MLOps 10. Probabilistic Graphical Models 📹 Specialization - Coursera 📹 Spring 2016, University of Utah - YouTube :star2: Read these books, they will be beneficial to you. :open_book: [Bayesian Reasoning and Machine Learning](https://drive.google.com/file/d/18fh0orqSNAaIyhLkVwh9cGuWBywCBbuw/view?usp=sharing) :open_book: [The Elements of Statistical Learning](https://drive.google.com/file/d/1ePRkuB9Zm5Fkw-1-VG8prQXfj8pI6dWX/view?usp=sharing) :open_book: [Pattern Recognition and Machine Learning - Bishop](https://drive.google.com/file/d/1QkQj_azL6O7qUzshB8lPzueYWj0TRwEu/view?usp=sharing) (Advanced) ##### Recommended by [Eng.Mohamed Hammad](https://www.linkedin.com/posts/mohamed-hammad-a720a622_%D9%83%D8%AA%D8%A7%D8%A8-%D9%83%D9%84-%D9%85%D8%B1%D9%87-%D8%A7%D8%AD%D8%AA%D8%A7%D8%AC%D9%87-%D9%88%D8%A7%D8%B1%D8%AC%D8%B9%D9%84%D9%87-%D8%A7%D8%A8%D9%82%D9%8A-%D8%B9%D8%A7%D9%88%D8%B2-%D9%83%D9%84-%D8%A7%D9%84%D9%84%D9%8A-activity-7080526619525693441-nNn0?utm_source=share&utm_medium=member_desktop). *** 📌PROJECTS ⏬ 🎥[Deena Gergis - End to end Project](https://www.youtube.com/playlist?list=PLatl6hdtJ0RnbkReSAuel6PeCPO155FpG) 🎥[Machine Learning Projects - Youtube](https://www.youtube.com/watch?v=fiz1ORTBGpY&list=PLfFghEzKVmjvuSA67LszN1dZ-Dd_pkus6) 💻[Top 10 Data Science Projects for Beginners](https://www.kdnuggets.com/2021/06/top-10-data-science-projects-beginners.html) 💻[12 Data Science Projects for Beginners and Experts](https://builtin.com/data-science/data-science-projects) 💻[Data Science Projects & Ideas](https://nevonprojects.com/data-science-projects-solutions/) 💻[Top 310+ Machine Learning Projects for 2023](https://data-flair.training/blogs/machine-learning-project-ideas/) 💻[10 End-to-End Guided Data Science Projects](https://pub.towardsai.net/10-end-to-end-guided-data-science-projects-to-build-your-portfolio-b7b9047fe6c9) 🎥[Real-World ML Tutorial w/ Scikit Learn](https://www.youtube.com/watch?v=M9Itm95JzL0) 💻[Python Codes in Data Science](https://github.com/RubensZimbres/Repo-2017/) 🎥[End To End ML Project With Dockers,Github Actions And Deployment](https://www.youtube.com/watch?v=MJ1vWb1rGwM) 💻[12 free Data Science projects to practice Python and Pandas (resolve interactive online)](https://www.datawars.io/articles/12-free-data-science-projects-to-practice-python-and-pandas) *** 📌 Common Tools ⤵️ English | Arabic | Book --- | --- | --- :movie_camera: [Git - Udacity](https://www.udacity.com/course/version-control-with-git--ud123) | :movie_camera: [شخبط وانت مطمن ](https://www.youtube.com/watch?v=Q6G-J54vgKc)🚀 | :closed_book: [Pro Git](https://git-scm.com/book/en/v2) 📖 [w3schools](https://www.w3schools.com/git/) | :movie_camera: [almadrasa](https://almdrasa.com/tracks/programming-foundations/courses/git-github/)   | :movie_camera: [Elzero](https://www.youtube.com/playlist?list=PLDoPjvoNmBAw4eOj58MZPakHjaO3frVMF) *** ### :pushpin: **More Books :atom::atom: [:pushpin: Check This!](https://drive.google.com/drive/folders/1iW7IPrVUqsHumgXUMH_rgeBLpJjRDCmJ?usp=sharing)** 📕 [:fire: 12 Free Important Books :fire:](https://github.com/Moataz-Elmesmary/Data-Science-Roadmap/tree/main/Books) 📕 [Mathematics for Machine Learning ](https://mml-book.github.io/) 📕 [An Introduction to Statistical Learning](https://www.statlearning.com/) 📕 [Understanding ML: From Theory to Algorithms ](https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf) 📕 [Probabilistic Machine Learning: An Introduction](https://probml.github.io/pml-book/book1.html) 📕 [storytelling with data](https://drive.google.com/file/d/1OQu6ZWImGnHbuI_WJOLPdSvKWCABSWMH/view?usp=sharing) ✔️Important data visualization guide. *** :pushpin: Collection of the best Cheat sheets 1. [Importing Data](https://lnkd.in/e3jnyTEi) 2. Pandas    - [(1)](https://lnkd.in/eiXuBbWh_)    - [(2)](https://lnkd.in/e8PKwQQQ)    - [(3)](https://lnkd.in/ewQfqe8q) 3. [Matplotlib](https://lnkd.in/ejxbW8ak) 4. [Seaborn](https://lnkd.in/ejhxUp2K) 5. [Probability](https://lnkd.in/e4Jxx6xP) 6. [Supervised Learning](https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf) 7. [Unsupervised Learning](https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf) 8. [Deep Learning](https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf) 9. [Machine Learning Tips and Tricks](https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf) 10. [Probabilities and Statistics](https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf) 11. [Comprehensive Stanford Master Cheat Sheet](https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf) 12. [Linear Algebra and Calculus](https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf) 13. [Data Science Cheat Sheet](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf) 14. [Keras Cheat Sheet](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf) 15. [Deep Learning with Keras Cheat Sheet](https://github.com/rstudio/cheatsheets/raw/master/keras.pdf) 16. [Visual Guide to Neural Network Infrastructures](http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png) 17. [Skicit-Learn Python Cheat Sheet](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf) 18. [Scikit-learn Cheat Sheet: Choosing the Right Estimator](https://scikit-learn.org/stable/tutorial/machine_learning_map/) 19. [Tensorflow Cheat Sheet](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf) 20. [Machine Learning Test Cheat Sheet](https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/) 21. [Machine Learning Cheat Sheets (Recommended Guide)](https://drive.google.com/file/d/1rQRJvWk5s9rUCesri0apxutbF4eDHR69/view?usp=sharing) *راجع المواضيع اللي في الشيت دي يا عزيزي وشوف اللي ناقصك* *** ### The best way to practice is to take part in competitions. **Competitions will make you even more proficient in Data Science.** When we talk about top data science competitions, [**Kaggle**](https://www.kaggle.com/) is one of the most popular platforms for data science. Kaggle has a lot of competitions where you can participate according to your knowledge level. **You can also check these platforms for data science competitions-** - [Driven Data](https://www.drivendata.org/competitions/) - [Codalab](https://competitions.codalab.org/) - [Iron Viz](https://www.tableau.com/community/iron-viz) - [Topcoder](https://www.topcoder.com/challenges) - [CrowdANALYTIX Community](https://www.crowdanalytix.com/community) - [Bitgrit](https://bitgrit.net/) *** 📓 Data Science Interview Questions: :arrow_forward:   - [(1)](https://github.com/youssefHosni/Data-Science-Interview-Questions)  - [(2)](https://github.com/alexeygrigorev/data-science-interviews)  - [(3)](https://github.com/rbhatia46/Data-Science-Interview-Resources)  - [(4)](https://github.com/iamtodor/data-science-interview-questions-and-answers)  - [(5)](https://github.com/milaan9/DataScience_Interview_Questions)  - [(6) Arabic Podcast](https://www.youtube.com/watch?v=YjloQOreudk):headphones: - [(7) 30 days of interview preparation](https://github.com/Moataz-Elmesmary/Data-Science-Roadmap/blob/main/30%20days%20of%20interview%20preparation.pdf):book: *** 🎧 Data Science Podcasts: 🎙️ The Best Way to Stay Up-to-Date on the Latest Data Science Trends and Developments Podcasts | About | Produced by -- | --------------------------- | -- [Data Science at Home](https://datascienceathome.com/)|A podcast that provides practical advice and tutorials on data science topics.|Greg Linhardt, a data scientist and machine learning engineer at Google AI [Data Stories](https://datastori.es/)|An interview-driven podcast that tells the stories of data scientists and how they're using their skills to make a difference in the world.| Kirill Eremenko, a data scientist and machine learning engineer at Netflix [O'Reilly Data Show](https://www.oreilly.com/radar/topics/oreilly-data-show-podcast/)|A podcast that covers a wide range of data science topics, from machine learning to artificial intelligence to big data.|Ben Lorica, the Chief Data Scientist at O'Reilly [Learning Machines 101](https://www.learningmachines101.com/) |Mathematics, statistics, and algorithms that power the machine learning systems that we rely on every day.|Richard Golden, a machine learning engineer and researcher at Google AI [Data Engineering Podcast](https://www.dataengineeringpodcast.com/) |Tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation.|Tobias Macey, a data engineer at Netflix [Data Science Mixer](https://community.alteryx.com/t5/Data-Science-Mixer/bg-p/mixer) |A great resource for anyone who wants to learn more about data science and the latest trends in the field. It is also a great way to get inspired by the work of other data scientists and machine learning engineers.|Alteryx, a data science and analytics software company [Chai Time Data Science Show](https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x) |Interviews top data scientists, practitioners, and researchers from around the world.|Sanyam Bhutani, a data scientist and machine learning engineer at Google AI. [Becoming a Data Scientist](https://www.becomingadatascientist.com/category/podcast/)|Podcast that interviews data scientists about their journey to becoming a data scientist.|Renee Teate, a data scientist and machine learning engineer at Google AI. [AI Today Podcast](https://www.aidatatoday.com/aitoday/)|Explores the latest trends and developments in artificial intelligence.|Ron Schmelzer and Kathleen Walch [Gradient Dissent](https://wandb.ai/fully-connected/podcast)|A weekly podcast that explores the latest research in machine learning and artificial intelligence.|Chris Olah, a machine learning engineer at Google AI [Data Skeptic](https://dataskeptic.com/)|A podcast that challenges the conventional wisdom in data science and asks tough questions about the ethics and implications of data-driven decision making.|Kyle Polich, a data scientist and machine learning engineer [Linear Digressions](https://lineardigressions.com/)|A podcast that covers a wide range of data science topics, from the technical to the theoretical.|Ben Recht and Noah Smith, two machine learning researchers at the University of California, Berkeley [The Data Engineering Show](https://www.dataengineeringshow.com/)|For data engineering and BI practitioners to go beyond theory, and learn from the biggest influencers in tech about their practical day to day data challenges.|Eldad Farkash and Benjamin Wagner, who are both data engineering experts with experience at companies like Firebolt and Sisense [DataTalks.Club](https://podcasters.spotify.com/pod/show/datatalksclub)|A weekly online community of data enthusiasts and practitioners that learn from each other and share their knowledge and experiences through meetups, workshops, and a podcast.|A rotating cast of data experts [Datacast](https://jameskle.com/writes/category/Datacast)|Top data scientists and practitioners in the data and AI infrastructure space.|James Le, who is a data infrastructure expert with experience at companies like Google and Netflix [How to Get an Analytics Job Podcast](https://www.youtube.com/playlist?list=PLBvzkZLydYX0D28bbnfRCV6M4zMQrhXsd)|A great resource for anyone who is interested in a career in analytics. The guests share their insights and advice on how to get started in analytics and how to succeed in an analytics career.|John David Ariansen, an analytics agency owner and career coach [The Analytics Power Hour](https://analyticshour.io/)|Five awesome people, an occasional guest, and drinks all around tackling the hottest data and analytics topics of the day.|Tim Wilson, Michael Helbling, Josh Crowhurst, and Val Kroll. They are all analytics experts from different companies :eyes: Arabic Podcasts?? ######      :trollface:شايفك ياللي زهقان في المواصلات    📻[Arabic Data Podcast](https://www.youtube.com/@arabic_data_podcast) | [Spotify](https://open.spotify.com/show/6xo79RT4NP73wQA39TgAq1) by Eng. Kareem Abdelsalam 📻[lإلي البيانات وما بعدها](https://www.youtube.com/watch?v=3znPvz6P2oM&list=PL9yAM5pvSfU5EdppOCf-YvttRsabeAmbN) by Eng. Youssef Hosni 📻[Garage Education](https://www.youtube.com/@GarageEducation/playlists) by Eng. Mostafa Alaa 📻[Data Science بالعربي](https://www.boomplay.com/podcasts/29169) *** :pushpin: **Data Analysis Recommendations.** Books (📕 [The Data Analysis Workshop](https://drive.google.com/file/d/1BjKsffA2SCY0jY8OIIzgQgM0ZS7E9v_v/view?fbclid=IwAR2_GBlrX7VYoo8WCRO9R2qqrYEqtytoGrObxy1QHWcQ7sRaFjRLb0GmuxM) & 📕 [Head First Data Analysis](https://drive.google.com/file/d/1HXHkwrgsSJLYSeB6I0wPUXIGGnm2-HQ6/view?fbclid=IwAR27M-dlPN6o0YuZg3bXH6_DP9L2fBhkKDEkChvO4SPG-SXfkxrzuoGP5RM)) [FWD - (The 3 Levels)](https://egfwd.com/?fbclid=IwAR1phYmHHgi0L4E9nOPZcSfAdHWsDs9EvBh3dJgO6gXN4B1A-nV8vspGggs) [Google Data Analytics Professional Certificate](https://www.coursera.org/professional-certificates/google-data-analytics) [IBM Data Analyst Professional Certificate](https://www.coursera.org/professional-certificates/ibm-data-analyst?fbclid=IwAR1IajEEe2yydVWRt3hbj4qLioXP6oR-fdbw8f1kHAVpAXSA4Z8Eww1Y-fs) [Google Advanced Data Analytics Professional Certificate :new:](https://www.coursera.org/professional-certificates/google-advanced-data-analytics?irclickid=zzy33K1O0xyNUAmxqWUjDwedUkAQlBwwJ21EwA0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=2624140&utm_content=b2c) [Alex The Analyst - YouTube📺](https://www.youtube.com/@AlexTheAnalyst/playlists) *Note: A good knowledge & projects in just [Excel](https://www.coursera.org/learn/excel-basics-data-analysis-ibm), SQL & Power BI / Tableau can bring you great opportunities*. - Excel More Resources: ([Arabic 1📹](https://www.youtube.com/watch?v=9Z5MPeyuLhg&t=397s) - [Arabic 2📹](https://www.youtube.com/watch?v=uRs8_EJqTFo&list=PLXlHqMRg9lAYiiutr-Ou0J1uU20T-5a4-&pp=iAQB) - [Books :page_facing_up: and cheat sheets for revising](https://drive.google.com/drive/folders/1CAUKDb5jv1pMez1WO74ogkpX44UMW_ky)) :pushpin: **[Data Engineering](https://youtu.be/qWru-b6m030) Recommendations.** Books (📕 [Fundamentals of Data Engineering](https://drive.google.com/file/d/1CbQFN0Lw8o6v4KlF64LsCyaooMccT45T/view?usp=sharing) & 📕 [Designing Data-Intensive Applications](https://drive.google.com/file/d/1CrzA--WWNcxxQwLqzg1yPfiI3FaEo49z/view?usp=sharing)) Arabic Podcast, [Starting a Career in Data Engineering.](https://www.youtube.com/watch?v=OtaBhXjrbX4) For Arab, I recommend 2 YouTube Channels: ([Garage Education](https://www.youtube.com/@GarageEducation) & [Big Data بالعربي](https://www.youtube.com/playlist?list=PLrooD4hY1QqAK5pbBpcthLuMa-cXnXJLE)) [Roadmap 1](https://github.com/OmarEhab007/Data_Engineering_Mentorship) - *(Recommended)* [Roadmap 2](https://www.educba.com/data-engineer-roadmap/) [Roadmap 3](https://github.com/datastacktv/data-engineer-roadmap) [IBM Data Engineering Professional Certificate](https://www.coursera.org/professional-certificates/ibm-data-engineer) *Note: A good knowledge & projects in SQL, Python, Apache [Spark](https://www.udacity.com/course/learn-spark-at-udacity--ud2002)/Hadoop, Data Modeling and [[Data Warehouse](https://www.coursera.org/learn/dwdesign) - {Arabic-[Starting from the 7th video](https://www.youtube.com/playlist?list=PLxNoJq6k39G_m6DYjpz-V92DkaQEiXxkF)} can bring you great opportunities. Start with them then go for the other tools,concepts and cloud platforms*. *** :file_folder: CV / Resumes :memo: - [Common mistakes by Yehia Arafa Mostafa](https://www.facebook.com/yehia.arafa.mostafa/posts/110086229517000) - [CV Tips by Omar Yasser](https://medium.com/@oyaraouf/cv-tips-5faaec55ec07) - [This Is What A GOOD Resume Should Look Like by careercup](https://www.careercup.com/resume) - After you have made your beta-version resume, check those [reviews from Mostafa Nageeb](https://www.facebook.com/story.php?story_fbid=2928705840553931&id=445112032246670) - [After Graduation by Yasser Alaa](https://www.linkedin.com/feed/update/urn:li:activity:6964595411839799296/) - [How to make Data Science Resume](https://enhancv.com/resume-examples/data-scientist/) - [Data Science Resume Guide](https://www.beamjobs.com/resumes/data-science-resume-example-guide) - Resume/CV building for Data Jobs (Arabic) 📹[Video 1](https://www.youtube.com/watch?v=R0hsJiNxdDE) 📹[Video 2](https://www.youtube.com/watch?v=CrTO0hrC-zQ) *** :pushpin: [ Data & AI Companies in Egypt ](https://trello.com/b/u4HH9Anu/data-ai-jobs-in-egypt)   -   [ AI/ML Driven Companies In Egypt ](https://github.com/harryadel/AI-ML-Driven-Companies-In-Egypt) *** Contact Me :iphone: [](https://git.io/typing-svg)

Data Science Roadmap from A to Z

data-analysis,data-engineering,data-science,data-visualization,deep-learning,machine-learning,mathematics,probability,python,sql

zan8in/afrog

A Security Tool for Bug Bounty, Pentest and Red Teaming Download • Wiki • Helper Function PoC Contributors 不动明王 雪山 White-hua 123456 ifofor Air 执着 purple-WL throat Secx 冰河 Sheen a16 A1 rainbow2972 wuha0926 茄子 lei_sec G-H-Z wh1te 清月 york 7eleven.eth Double... ICEY_ lazy free2e m4sk 沉默树人 陈麻子 leonardo-o1 江湖人称魏... 若兮风 -sudo Cuerz laohuan12138 exp0l0zzz 1derian CMDB-M li1u oxsonder Zhiliao 段 HuiTaiL Miracles666 Observer 黑熊 TryA9ain fgz00 Y3y1ng 二大爷 Wans 海边的小米粥 Wen What is afrog afrog is a high-performance vulnerability scanner that is fast and stable. It supports user-defined PoC and comes with several built-in types, such as CVE, CNVD, default passwords, information disclosure, fingerprint identification, unauthorized access, arbitrary file reading, and command execution. With afrog, network security professionals can quickly validate and remediate vulnerabilities, which helps to enhance their security defense capabilities. Features [x] Open source [x] Fast, stable, with low false positives [x] Detailed HTML vulnerability reports [x] Customizable and stably updatable PoCs [x] Active community exchange group Installation Prerequisites Go version 1.19 or higher. you can install it with: Binary sh $ https://github.com/zan8in/afrog/releases/latest Github sh $ git clone https://github.com/zan8in/afrog.git $ cd afrog $ go build cmd/afrog/main.go $ ./afrog -h Go sh $ go install -v github.com/zan8in/afrog/v3/cmd/afrog@latest Running afrog By default, afrog scans all built-in PoCs, and if it finds any vulnerabilities, it automatically creates an HTML report with the date of the scan as the filename. sh afrog -t https://example.com Warning occurs when running afrog If you see an error message saying: [ERR] ceye reverse service not set: /home/afrog/.config/afrog/afrog-config.yaml it means you need to modify the configuration file . To execute a custom PoC directory, you can use the following command: sh afrog -t https://example.com -P mypocs/ Use the command -s keyword to perform a fuzzy search on all PoCs and scan the search results. Multiple keywords can be used, separated by commas. For example: -s weblogic,jboss . sh afrog -t https://example.com -s weblogic,jboss Use the command -S keyword to scan vulnerabilities based on their severity level. Severity levels include: info , low , medium , high , and critical . For example, to only scan high and critical vulnerabilities, use the command -S high,critical . sh afrog -t https://example.com -S high,critical You can scan multiple URLs at the same time as well. sh afrog -T urls.txt -web Command The -web command allows for persistently storing vulnerabilities scanned by afrog into an SQLite3 database. Accessing http://x.x.x.x:16868 via a browser provides access to the vulnerability report webpage, where users can conduct simple keyword searches and filter results by vulnerability severity. ```shell afrog -web ``` Configuration file The first time you start afrog, it will automatically create a configuration file called afrog-config.yaml , which will be saved in the current user directory under $HOME/.config/afrog/afrog-config.yaml . Here is an example config file: yaml reverse: ceye: api-key: "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" domain: "xxxxxx.cey2e.io" dnslogcn: domain: dnslog.cn alphalog: domain: dnslogxx.sh api_url: "http://dnslogxx.sh/" xray: x_token: "xraytest" domain: dnslogxx.sh api_url: "http://x.x.0.x:8777" revsuit: token: "xx" dns_domain: "log.xx.com" http_url: "http://x.x.x.x/log/" api_url: "http://x.x.x.x/helplog" reverse is a reverse connection platform used to verify command execution vulnerabilities that cannot be echoed back. Currently, only ceye can be used for verification. Ceye Configuration To obtain ceye, follow these steps: Go to the ceye.io website and register an account. Log in and go to the personal settings page. Copy the domain and api-key and correctly configure them in the afrog-config.yaml file. Dnslogcn No configuration required, but unstable dnslog.cn Alphalog Need to build services alphalog Xray Need to build services xray Revsuit Need to build services Revsuit 、 Tutorial Json Output (For developers) Json Optional command: -json -j , Save the scan results to a JSON file. The JSON file includes the following contents by default: target , fulltarget , id , and info . The info field includes the following sub-fields: name , author , severity , description , and reference . If you want to save both request and response contents, please use the -json-all command parameter. sh afrog -t https://example.com -json result.json afrog -t https://example.com -j result.json Warning The content of the JSON file is updated in real time. However, there is an important note to keep in mind: before the scan is completed, if developers want to parse the file content, they need to add a ' ] ' symbol to the end of the file by themselves, otherwise it will cause parsing errors. Of course, if you wait for the scan to complete before parsing the file, this issue will not occur. JsonAll Optional command: -json-all -ja , The only difference between the -json-all and -json commands is that -json-all writes all vulnerability results, including request and response , to a JSON file. sh afrog -t https://example.com -json-all result.json afrog -t https://example.com -ja result.json Screenshot As Library Simple Example Scan the website http://example.com ```golang package main import ( "fmt" "github.com/zan8in/afrog" ) func main() { if err := afrog.NewScanner([]string{"http://example.com"}, afrog.Scanner{}); err != nil { fmt.Println(err.Error()) } } ``` More examples: Basic scanner Read URL batch scan from file Discussion group To join the afrog communication group on WeChat, please first add the afrog personal account and mark it as afrog . Then, you will be added to the group by the administrator. 404Starlink afrog has joined 404Starlink Disclaimer This tool is intended only for legally authorized enterprise security construction purposes. If you want to test the functionality of this tool, you should build a target environment by yourself. To prevent malicious use, all PoCs included in this project are theoretical assessments of vulnerabilities. The tool does not exploit vulnerabilities, launch real attacks or exploits on targets. When using this tool for vulnerability scanning, it is important to ensure that your behavior complies with local laws and regulations, and that you have obtained sufficient authorization. Do not scan unauthorized targets . If you engage in any illegal behavior while using this tool, you will be solely responsible for any corresponding consequences, and we will not bear any legal or joint responsibility. Before installing and using this tool, please read each clause carefully and thoroughly . Restrictions, disclaimers, or other clauses that may significantly affect your rights and interests may be highlighted in bold or underlined to draw your attention. Unless you have fully read, fully understood, and agreed to all the terms of this agreement, do not install or use this tool. Your use of the tool or your acceptance of this agreement in any other express or implied manner will be deemed as your acknowledgment and agreement to be bound by this agreement.

A Security Tool for Bug Bounty, Pentest and Red Teaming.

vulnerability-scanner,poc,penetration-testing,afrog,vulnerability-scanning-tools,bug-bounty,pentest,red-teaming

adrianhajdin/project_syncfusion_dashboard

Build and Deploy a React Admin Dashboard App With Theming, Tables, Charts, Calendar, Kanban and More 🌟 Become a top 1% Next.js 13 developer in only one course 🚀 Land your dream programming job in 6 months Introduction This is a code repository for the corresponding video tutorial. If you want to get a finished, highly customizable Material UI version of a similar dashboard, check out Flexy React Material Dashboard . Launch your development career with project-based coaching - https://www.jsmastery.pro

This is a code repository for the corresponding YouTube video. In this tutorial we are going to build and deploy a an admin dashboard app using React.js and Syncfusion

react,reactjs,syncfusion,syncfusion-ej2

Textualize/rich-cli

Rich-CLI Rich-CLI is a command line toolbox for fancy output in the terminal, built with Rich . Use the rich command to highlight a variety of file types in the terminal, with specialized rendering for Markdown and JSON files. Additionally you can markup and format text from the command line. Installation There are a few options for installing Rich-CLI. Windows / Linux You can install Rich-CLI with pipx . pipx install rich-cli MacOS You can install Rich-CLI with Homebrew . brew install rich Universal Rich-CLI may be installed as a Python package, either using pip : python -m pip install rich-cli Or using conda or mamba : mamba install -c conda-forge rich-cli Rich command Once installed you should have the rich command in your path. Run the following to see usage / help: rich --help Syntax highlighting To syntax highlight a file enter rich followed by a path. Many file formats are supported. rich loop.py Add the --line-number or -n switch to enable line numbers. Add --guides or -g to enable indentation guides. rich loop.py -n -g You can specify a theme with --theme . rich loop.py --theme dracula You can set the default theme via the RICH_THEME environment variable. So the following is equivalent to the above command: RICH_THEME=dracula rich loop.py By default, rich will wrap lines if they don't fit within the available width. You can disable this behavior with --no-wrap . Rich will try to deduce the format of the via from the filename. If you want to override the auto-detected lexer you can explicitly set it with the --lexer or -x switch. Markdown You can request markdown rendering by adding the --markdown switch or -m . If the file ends with .md markdown will be auto-detected. rich README.md If your terminal supports hyperlinks, you can add --hyperlinks or -y which will output hyperlinks rather than full URLs. rich README.md --hyperlinks Jupyter notebook You can request Jupyter notebook rendering by adding the --ipynb switch. If the file ends with .ipynb Jupyter notebook will be auto-detected. rich notebook.ipynb All options that apply to syntax highlighting can be applied to code cells, and all options that apply to Markdown can be applied to Markdown cells. JSON You can request JSON pretty formatting and highlighting with the --json or -j switches. If the file ends with .json then JSON will be auto-detected. rich cats.json CSV Rich can display the contents of a CSV (or TSV) as a table. If the file ends with .csv or .tsv then CSV will be auto-detected. rich deniro.csv Rules You can render a horizontal rule with --rule or -u . Specify a rule style with --rule-style . Set the character(s) to render the line with --rule-char . rich "Hello [b]World[/b]!" --rule rich "Hello [b]World[/b]!" --rule --rule-style "red" rich "Hello [b]World[/b]!" --rule --rule-style "red" --rule-char "=" Pager Add --pager to display the content with a built in pager application. Scroll the pager with cursor keys, page up/down, home, end. Alternatively use the scrollbar which will be visible to the right of the terminal. Or use the vi navigation (j, k, ctrl_d, ctrl-u). rich __main__.py -n -g --theme monokai --pager Network The rich command can read files from the internet you give it a URL starting with http:// or https:// . rich https://raw.githubusercontent.com/Textualize/rich-cli/main/README.md --markdown Exporting In addition to rendering to the console, rich can write an HTML file. This works with any command. Add --export-html or -o followed by the output path. rich README.md -o readme.html After running this command you should find a "readme.html" in your current working directory. Rich Printing If you add the --print or --p option then Rich will treat the first argument as console markup which allows you to insert styles with a markup similar in design to bbcode. rich "Hello, [bold magenta]World[/]!" --print Soft wrapping Rich will word wrap your text by default by inserting newlines where appropriate. If you don't want this behavior you can enable soft wrapping with --soft . Reading from Stdin Where rich accepts a path, you can enter - which reads the content from stdin. You may want this if you are piping output from another process. Note that when rich isn't writing directly to the terminal it will disable ansi color codes, so you may want to add --force-terminal or -F to tell rich you want to keep ansi codes in the output. cat README.md | rich - --markdown --force-terminal General Options There are a number of additional switches you may add to modify the content rendered to the terminal. These options are universal and apply to all of the above features. Style You can set a style to apply to the output with --style or -s . The styles are specified with this syntax . rich "Hello, [b]World[/b]!" --print --style "on blue" Alignment You can align output to the left, center, or right with the --left , --center , or --right options, or their single letter counterparts: -l , -c , or -r . rich "Hello [b]World[/b]!" --print --center Width You can set the width of the output with --width or -w and the desired width. Note that the default behavior is to wrap text. rich "I must not fear. Fear is the mind-killer. Fear is the little-death that brings total obliteration." -p -w 40 Text Justify You can set how rich will justify text with --text-left , --text-right , --text-center , and --text-full ; or the single letter equivalents: -L , -R , -C , and -F . The difference between --left and --text-left may not be obvious unless you specify the width of the output. The --left , --center , and --right options will center the block of text within the terminal dimensions. Whereas, the --text-left , --text-center , and --text-right options define how text is rendered within that block. In the following examples, we specify a width of 40 ( -w 40 ) which is center aligned with the -c switch. Note how the -R , -C and -F apply the text justification within the 40 character block: rich "I must not fear. Fear is the mind-killer. Fear is the little-death that brings total obliteration." -p -w 40 -c -L rich "I must not fear. Fear is the mind-killer. Fear is the little-death that brings total obliteration." -p -w 40 -c -R rich "I must not fear. Fear is the mind-killer. Fear is the little-death that brings total obliteration." -p -w 40 -c -C rich "I must not fear. Fear is the mind-killer. Fear is the little-death that brings total obliteration." -p -w 40 -c -F Padding You can apply padding around the output with --padding or -d . rich "Hello [b]World[/b]!" -p -c --padding 3 --style "on blue" Panel You can draw a panel around content with --panel or -a , which takes one of a number of styles . rich "Hello, [b]World[/b]!" -p -a heavy

Rich-cli is a command line toolbox for fancy output in the terminal

rich,terminal,terminal-colors,syntax-highlighting,markdown

apache/opendal

Apache OpenDAL™: Access Data Freely OpenDAL offers a unified data access layer, empowering users to seamlessly and efficiently retrieve data from diverse storage services. Our goal is to deliver a comprehensive solution for any languages, methods, integrations, and services. For ANY languages | Name | Release | Docs | |-------------------|--------------------------------------------------|-----------------------------------------------------------------------------------| | Rust Core | | | | C Binding | - | | | Cpp Binding | - | | | Dotnet Binding | - | - | | Go Binding | - | - | | Haskell Binding | - | - | | Java Binding | | | | Lua Binding | - | - | | Node.js Binding | | | | Ocaml Binding | - | - | | PHP Binding | - | - | | Python Binding | | | | Ruby Binding | - | - | | Swift Binding | - | - | | Zig Binding | - | - | For ANY methods | Name | Description | Release | |-------|--------------------------------------------------------------------|---------------------------| | oay | Access data via API Gateway | | | oli | Access data via Command Line (alternative to s3cmd, s3cli, azcopy) | | | ofs | Access data via POSIX file system API (alternative to s3fs) | | For ANY integrations | Name | Description | Release | Docs | |------------------------|------------------------------------------------------|---------------------------------------------|-----------------------------------------------------------------------------------| | dav-server-opendalfs | a dav-server-rs implementation using opendal. | | | | object_store_opendal | an object_store implementation using opendal. | | | | fuse3_opendal | Access data via integrations to fuse3 | - | - | | virtiofs_opendal | Access data via integrations to vhost-user-backend | - | - | | unftp-sbe-opendal | an unftp storage backend implementation using opendal. | - | - | For ANY services | Type | Services | |--------------------------------|------------------------------------------------------------------------------------------------------------------------------------------| | Standard Storage Protocols | ftp http sftp | | Object Storage Services | azblob gcs oss b2 upyun | | File Storage Services | fs alluxio azfile compfs dbfs hdfs ipfs | | Consumer Cloud Storage Service | aliyun_drive onedrive icloud pcloud yandex_disk | | Key-Value Storage Services | cacache dashmap memory etcd foundationdb redis sled redb atomicserver | | Database Storage Services | d1 mysql sqlite | | Cache Storage Services | ghac mini_moka vercel_artifacts | | Git Based Storage Services | huggingface | Examples The examples are available at here . Documentation The documentation is available at https://opendal.apache.org . Contribute OpenDAL is an active open-source project. We are always open to people who want to use it or contribute to it. Here are some ways to go. Start with Contributing Guide . Submit Issues for bug report or feature requests. Discuss at dev mailing list ( subscribe / unsubscribe / archives ) Asking questions in the Discussions . Talk to community directly at Discord . Who is using OpenDAL? Rust Core apache/iceberg-rust : Native Rust implementation of Apache Iceberg , the open table format for analytic datasets. Databend : A modern Elasticity and Performance cloud data warehouse. deepeth/mars : The powerful analysis platform to explore and visualize data from blockchain. GreptimeDB : An open-source, cloud-native, distributed time-series database. mozilla/sccache : sccache is ccache with cloud storage OctoBase : the open-source database behind AFFiNE , local-first, yet collaborative. ParadeDB : Postgres for Search and Analytics - fast full-text search and analytics in Postgres and over cloud storage. Built as an extension. Pants : A fast, scalable, user-friendly build system for codebases of all sizes. QuestDB : An open-source time-series database for high throughput ingestion and fast SQL queries with operational simplicity. RisingWave : A Distributed SQL Database for Stream Processing Vector : A high-performance observability data pipeline. C Binding Milvus : A cloud-native vector database, storage for next generation AI applications Java Binding QuestDB : An open-source time-series database for high throughput ingestion and fast SQL queries with operational simplicity. Branding The first and most prominent mentions must use the full form: Apache OpenDAL™ of the name for any individual usage (webpage, handout, slides, etc.) Depending on the context and writing style, you should use the full form of the name sufficiently often to ensure that readers clearly understand the association of both the OpenDAL project and the OpenDAL software product to the ASF as the parent organization. For more details, see the Apache Product Name Usage Guide . License and Trademarks Licensed under the Apache License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0 Apache OpenDAL, OpenDAL, and Apache are either registered trademarks or trademarks of the Apache Software Foundation.

Apache OpenDAL: access data freely.

storage,s3,rust,azblob,gcs,redis,hacktoberfest

datafold/data-diff

⚠️ As of May 17, 2024, Datafold is no longer actively supporting or developing open source data-diff. We’re grateful to everyone who made contributions along the way. Please see our blog post for additional context on this decision. data-diff: Compare datasets fast, within or across SQL databases Contributors License This project is licensed under the terms of the MIT License .

Compare tables within or across databases

database,mysql,postgresql,snowflake,rdbms,trino,data-engineering,data-quality,data-science,data-quality-monitoring

srush/Tensor-Puzzles

Tensor Puzzles by Sasha Rush - srush_nlp (with Marcos Treviso) When learning a tensor programming language like PyTorch or Numpy it is tempting to rely on the standard library (or more honestly StackOverflow) to find a magic function for everything. But in practice, the tensor language is extremely expressive, and you can do most things from first principles and clever use of broadcasting. This is a collection of 21 tensor puzzles. Like chess puzzles these are not meant to simulate the complexity of a real program, but to practice in a simplified environment. Each puzzle asks you to reimplement one function in the NumPy standard library without magic. I recommend running in Colab. Click here and copy the notebook to get start. If you are interested, there is also a youtube walkthrough of the puzzles python !pip install -qqq torchtyping hypothesis pytest git+https://github.com/danoneata/chalk@srush-patch-1 !wget -q https://github.com/srush/Tensor-Puzzles/raw/main/lib.py python from lib import draw_examples, make_test, run_test import torch import numpy as np from torchtyping import TensorType as TT tensor = torch.tensor Rules These puzzles are about broadcasting . Know this rule. Each puzzle needs to be solved in 1 line (<80 columns) of code. You are allowed @, arithmetic, comparison, shape , any indexing (e.g. a[:j], a[:, None], a[arange(10)] ), and previous puzzle functions. You are not allowed anything else. No view , sum , take , squeeze , tensor . You can start with these two functions: ```python def arange(i: int): "Use this function to replace a for-loop." return torch.tensor(range(i)) draw_examples("arange", [{"" : arange(i)} for i in [5, 3, 9]]) ``` ```python Example of broadcasting. examples = [(arange(4), arange(5)[:, None]) , (arange(3)[:, None], arange(2))] draw_examples("broadcast", [{"a": a, "b":b, "ret": a + b} for a, b in examples]) ``` ```python def where(q, a, b): "Use this function to replace an if-statement." return (q * a) + (~q) * b In diagrams, orange is positive/True, where is zero/False, and blue is negative. examples = [(tensor([False]), tensor([10]), tensor([0])), (tensor([False, True]), tensor([1, 1]), tensor([-10, 0])), (tensor([False, True]), tensor([1]), tensor([-10, 0])), (tensor([[False, True], [True, False]]), tensor([1]), tensor([-10, 0])), (tensor([[False, True], [True, False]]), tensor([[0], [10]]), tensor([-10, 0])), ] draw_examples("where", [{"q": q, "a":a, "b":b, "ret": where(q, a, b)} for q, a, b in examples]) ``` Puzzle 1 - ones Compute ones - the vector of all ones. ```python def ones_spec(out): for i in range(len(out)): out[i] = 1 def ones(i: int) -> TT["i"]: raise NotImplementedError test_ones = make_test("one", ones, ones_spec, add_sizes=["i"]) ``` ```python run_test(test_ones) ``` Puzzle 2 - sum Compute sum - the sum of a vector. ```python def sum_spec(a, out): out[0] = 0 for i in range(len(a)): out[0] += a[i] def sum(a: TT["i"]) -> TT[1]: raise NotImplementedError test_sum = make_test("sum", sum, sum_spec) ``` ```python run_test(test_sum) ``` Puzzle 3 - outer Compute outer - the outer product of two vectors. ```python def outer_spec(a, b, out): for i in range(len(out)): for j in range(len(out[0])): out[i][j] = a[i] * b[j] def outer(a: TT["i"], b: TT["j"]) -> TT["i", "j"]: raise NotImplementedError test_outer = make_test("outer", outer, outer_spec) ``` ```python run_test(test_outer) ``` Puzzle 4 - diag Compute diag - the diagonal vector of a square matrix. ```python def diag_spec(a, out): for i in range(len(a)): out[i] = a[i][i] def diag(a: TT["i", "i"]) -> TT["i"]: raise NotImplementedError test_diag = make_test("diag", diag, diag_spec) ``` ```python run_test(test_diag) ``` Puzzle 5 - eye Compute eye - the identity matrix. ```python def eye_spec(out): for i in range(len(out)): out[i][i] = 1 def eye(j: int) -> TT["j", "j"]: raise NotImplementedError test_eye = make_test("eye", eye, eye_spec, add_sizes=["j"]) ``` ```python run_test(test_eye) ``` Puzzle 6 - triu Compute triu - the upper triangular matrix. ```python def triu_spec(out): for i in range(len(out)): for j in range(len(out)): if i <= j: out[i][j] = 1 else: out[i][j] = 0 def triu(j: int) -> TT["j", "j"]: raise NotImplementedError test_triu = make_test("triu", triu, triu_spec, add_sizes=["j"]) ``` ```python run_test(test_triu) ``` Puzzle 7 - cumsum Compute cumsum - the cumulative sum. ```python def cumsum_spec(a, out): total = 0 for i in range(len(out)): out[i] = total + a[i] total += a[i] def cumsum(a: TT["i"]) -> TT["i"]: raise NotImplementedError test_cumsum = make_test("cumsum", cumsum, cumsum_spec) ``` ```python run_test(test_cumsum) ``` Puzzle 8 - diff Compute diff - the running difference. ```python def diff_spec(a, out): out[0] = a[0] for i in range(1, len(out)): out[i] = a[i] - a[i - 1] def diff(a: TT["i"], i: int) -> TT["i"]: raise NotImplementedError test_diff = make_test("diff", diff, diff_spec, add_sizes=["i"]) ``` ```python run_test(test_diff) ``` Puzzle 9 - vstack Compute vstack - the matrix of two vectors ```python def vstack_spec(a, b, out): for i in range(len(out[0])): out[0][i] = a[i] out[1][i] = b[i] def vstack(a: TT["i"], b: TT["i"]) -> TT[2, "i"]: raise NotImplementedError test_vstack = make_test("vstack", vstack, vstack_spec) ``` ```python run_test(test_vstack) ``` Puzzle 10 - roll Compute roll - the vector shifted 1 circular position. ```python def roll_spec(a, out): for i in range(len(out)): if i + 1 < len(out): out[i] = a[i + 1] else: out[i] = a[i + 1 - len(out)] def roll(a: TT["i"], i: int) -> TT["i"]: raise NotImplementedError test_roll = make_test("roll", roll, roll_spec, add_sizes=["i"]) ``` ```python run_test(test_roll) ``` Puzzle 11 - flip Compute flip - the reversed vector ```python def flip_spec(a, out): for i in range(len(out)): out[i] = a[len(out) - i - 1] def flip(a: TT["i"], i: int) -> TT["i"]: raise NotImplementedError test_flip = make_test("flip", flip, flip_spec, add_sizes=["i"]) ``` ```python run_test(test_flip) ``` Puzzle 12 - compress Compute compress - keep only masked entries (left-aligned). ```python def compress_spec(g, v, out): j = 0 for i in range(len(g)): if g[i]: out[j] = v[i] j += 1 def compress(g: TT["i", bool], v: TT["i"], i:int) -> TT["i"]: raise NotImplementedError test_compress = make_test("compress", compress, compress_spec, add_sizes=["i"]) ``` ```python run_test(test_compress) ``` Puzzle 13 - pad_to Compute pad_to - eliminate or add 0s to change size of vector. ```python def pad_to_spec(a, out): for i in range(min(len(out), len(a))): out[i] = a[i] def pad_to(a: TT["i"], i: int, j: int) -> TT["j"]: raise NotImplementedError test_pad_to = make_test("pad_to", pad_to, pad_to_spec, add_sizes=["i", "j"]) ``` ```python run_test(test_pad_to) ``` Puzzle 14 - sequence_mask Compute sequence_mask - pad out to length per batch. ```python def sequence_mask_spec(values, length, out): for i in range(len(out)): for j in range(len(out[0])): if j < length[i]: out[i][j] = values[i][j] else: out[i][j] = 0 def sequence_mask(values: TT["i", "j"], length: TT["i", int]) -> TT["i", "j"]: raise NotImplementedError def constraint_set_length(d): d["length"] = d["length"] % d["values"].shape[1] return d test_sequence = make_test("sequence_mask", sequence_mask, sequence_mask_spec, constraint=constraint_set_length ) ``` ```python run_test(test_sequence) ``` Puzzle 15 - bincount Compute bincount - count number of times an entry was seen. ```python def bincount_spec(a, out): for i in range(len(a)): out[a[i]] += 1 def bincount(a: TT["i"], j: int) -> TT["j"]: raise NotImplementedError def constraint_set_max(d): d["a"] = d["a"] % d["return"].shape[0] return d test_bincount = make_test("bincount", bincount, bincount_spec, add_sizes=["j"], constraint=constraint_set_max ) ``` ```python run_test(test_bincount) ``` Puzzle 16 - scatter_add Compute scatter_add - add together values that link to the same location. ```python def scatter_add_spec(values, link, out): for j in range(len(values)): out[link[j]] += values[j] def scatter_add(values: TT["i"], link: TT["i"], j: int) -> TT["j"]: raise NotImplementedError def constraint_set_max(d): d["link"] = d["link"] % d["return"].shape[0] return d test_scatter_add = make_test("scatter_add", scatter_add, scatter_add_spec, add_sizes=["j"], constraint=constraint_set_max ) ``` ```python run_test(test_scatter_add) ``` Puzzle 17 - flatten Compute flatten ```python def flatten_spec(a, out): k = 0 for i in range(len(a)): for j in range(len(a[0])): out[k] = a[i][j] k += 1 def flatten(a: TT["i", "j"], i:int, j:int) -> TT["i * j"]: raise NotImplementedError test_flatten = make_test("flatten", flatten, flatten_spec, add_sizes=["i", "j"]) ``` ```python run_test(test_flatten) ``` Puzzle 18 - linspace Compute linspace ```python def linspace_spec(i, j, out): for k in range(len(out)): out[k] = float(i + (j - i) * k / max(1, len(out) - 1)) def linspace(i: TT[1], j: TT[1], n: int) -> TT["n", float]: raise NotImplementedError test_linspace = make_test("linspace", linspace, linspace_spec, add_sizes=["n"]) ``` ```python run_test(test_linspace) ``` Puzzle 19 - heaviside Compute heaviside ```python def heaviside_spec(a, b, out): for k in range(len(out)): if a[k] == 0: out[k] = b[k] else: out[k] = int(a[k] > 0) def heaviside(a: TT["i"], b: TT["i"]) -> TT["i"]: raise NotImplementedError test_heaviside = make_test("heaviside", heaviside, heaviside_spec) ``` ```python run_test(test_heaviside) ``` Puzzle 20 - repeat (1d) Compute repeat ```python def repeat_spec(a, d, out): for i in range(d[0]): for k in range(len(a)): out[i][k] = a[k] def constraint_set(d): d["d"][0] = d["return"].shape[0] return d def repeat(a: TT["i"], d: TT[1]) -> TT["d", "i"]: raise NotImplementedError test_repeat = make_test("repeat", repeat, repeat_spec, constraint=constraint_set) ``` Puzzle 21 - bucketize Compute bucketize ```python def bucketize_spec(v, boundaries, out): for i, val in enumerate(v): out[i] = 0 for j in range(len(boundaries)-1): if val >= boundaries[j]: out[i] = j + 1 if val >= boundaries[-1]: out[i] = len(boundaries) def constraint_set(d): d["boundaries"] = np.abs(d["boundaries"]).cumsum() return d def bucketize(v: TT["i"], boundaries: TT["j"]) -> TT["i"]: raise NotImplementedError test_bucketize = make_test("bucketize", bucketize, bucketize_spec, constraint=constraint_set) ``` Speed Run Mode! What is the smallest you can make each of these? ```python import inspect fns = (ones, sum, outer, diag, eye, triu, cumsum, diff, vstack, roll, flip, compress, pad_to, sequence_mask, bincount, scatter_add) for fn in fns: lines = [l for l in inspect.getsource(fn).split("\n") if not l.strip().startswith("#")] if len(lines) > 3: print(fn.__name__, len(lines[2]), "(more than 1 line)") else: print(fn.__name__, len(lines[1])) ``` ones 29 sum 29 outer 29 diag 29 eye 29 triu 29 cumsum 29 diff 29 vstack 29 roll 29 flip 29 compress 29 pad_to 29 sequence_mask 29 bincount 29 scatter_add 29

Solve puzzles. Improve your pytorch.

machine-learning,puzzle,torch

apple/swift-async-algorithms

swift-async-algorithms Swift Async Algorithms is an open-source package of asynchronous sequence and advanced algorithms that involve concurrency, along with their related types. This package has three main goals: First-class integration with async/await Provide a home for time-based algorithms Be cross-platform and open source Motivation AsyncAlgorithms is a package for algorithms that work with values over time . That includes those primarily about time , like debounce and throttle , but also algorithms about order like combineLatest and merge . Operations that work with multiple inputs (like zip does on Sequence ) can be surprisingly complex to implement, with subtle behaviors and many edge cases to consider. A shared package can get these details correct, with extensive testing and documentation, for the benefit of all Swift apps. The foundation for AsyncAlgorithms was included in Swift 5.5 from AsyncSequence . Swift 5.5 also brings the ability to use a natural for/in loop with await to process the values in an AsyncSequence and Sequence -equivalent API like map and filter . Structured concurrency allows us to write code where intermediate state is simply a local variable, try can be used directly on functions that throw , and generally treat the logic for asynchronous code similar to that of synchronous code. This package is the home for these APIs. Development and API design take place on GitHub and the Swift Forums . Contents Combining asynchronous sequences chain(_:...) : Concatenates two or more asynchronous sequences with the same element type. combineLatest(_:...) : Combines two or more asynchronous sequences into an asynchronous sequence producing a tuple of elements from those base asynchronous sequences that updates when any of the base sequences produce a value. merge(_:...) : Merges two or more asynchronous sequence into a single asynchronous sequence producing the elements of all of the underlying asynchronous sequences. zip(_:...) : Creates an asynchronous sequence of pairs built out of underlying asynchronous sequences. joined(separator:) : Concatenated elements of an asynchronous sequence of asynchronous sequences, inserting the given separator between each element. Creating asynchronous sequences async : Create an asynchronous sequence composed from a synchronous sequence. AsyncChannel : An asynchronous sequence with back pressure sending semantics. AsyncThrowingChannel : An asynchronous sequence with back pressure sending semantics that can emit failures. Performance optimized asynchronous iterators AsyncBufferedByteIterator : A highly efficient iterator useful for iterating byte sequences derived from asynchronous read functions. Other useful asynchronous sequences adjacentPairs() : Collects tuples of adjacent elements. chunks(...) and chunked(...) : Collect values into chunks. compacted() : Remove nil values from an asynchronous sequence. removeDuplicates() : Remove sequentially adjacent duplicate values. interspersed(with:) : Place a value between every two elements of an asynchronous sequence. Asynchronous Sequences that transact in time debounce(for:tolerance:clock:) : Emit values after a quiescence period has been reached. throttle(for:clock:reducing:) : Ensure a minimum interval has elapsed between events. AsyncTimerSequence : Emit the value of now at a given interval repeatedly. Obtaining all values from an asynchronous sequence RangeReplaceableCollection.init(_:) : Creates a new instance of a collection containing the elements of an asynchronous sequence. Dictionary.init(uniqueKeysWithValues:) : Creates a new dictionary from the key-value pairs in the given asynchronous sequence. Dictionary.init(_:uniquingKeysWith:) : Creates a new dictionary from the key-value pairs in the given asynchronous sequence, using a combining closure to determine the value for any duplicate keys. Dictionary.init(grouping:by:) : Creates a new dictionary whose keys are the groupings returned by the given closure and whose values are arrays of the elements that returned each key. SetAlgebra.init(_:) : Creates a new set from an asynchronous sequence of items. Effects Each algorithm has specific behavioral effects. For throwing effects these can either be if the sequence throws, does not throw, or rethrows errors. Sendability effects in some asynchronous sequences are conditional whereas others require the composed parts to all be sendable to satisfy a requirement of Sendable . The effects are listed here . Adding Swift Async Algorithms as a Dependency To use the AsyncAlgorithms library in a SwiftPM project, add the following line to the dependencies in your Package.swift file: swift .package(url: "https://github.com/apple/swift-async-algorithms", from: "1.0.0"), Include "AsyncAlgorithms" as a dependency for your executable target: swift .target(name: "<target>", dependencies: [ .product(name: "AsyncAlgorithms", package: "swift-async-algorithms"), ]), Finally, add import AsyncAlgorithms to your source code. Getting Started ⚠️ Please note that this package requires Xcode 14 on macOS hosts. Previous versions of Xcode do not contain the required Swift version. Building/Testing Using Xcode on macOS In the swift-async-algorithms directory run swift build or swift test accordingly Building/Testing on Linux Download the most recent development toolchain for your Linux distribution Decompress the archive to a path in which the swift executable is in the binary search path environment variable ( $PATH ) In the swift-async-algorithms directory run swift build or swift test accordingly Source Stability The Swift Async Algorithms package has a goal of being source stable as soon as possible; version numbers will follow Semantic Versioning . Source breaking changes to public API can only land in a new major version. The public API of version 1.0 of the swift-async-algorithms package will consist of non-underscored declarations that are marked public in the AsyncAlgorithms module. Interfaces that aren't part of the public API may continue to change in any release, including patch releases. Future minor versions of the package may introduce changes to these rules as needed. We'd like this package to quickly embrace Swift language and toolchain improvements that are relevant to its mandate. Accordingly, from time to time, we expect that new versions of this package will require clients to upgrade to a more recent Swift toolchain release. Requiring a new Swift release will only require a minor version bump.

Async Algorithms for Swift

swift

alex8088/electron-vite

electron-vite Next generation Electron build tooling based on Vite Documentation | Getting Started | create-electron 中文文档 Features ⚡️ Vite powered and use the same way. 🛠 Pre-configured for Electron, don't worry about configuration. 💡 Optimize asset handling (Node.js addons, WebAssembly, Worker Thread, etc). 🚀 Fast HMR for renderer processes. 🔥 Hot reloading for main process and preload scripts. 🔌 Easy to debug in IDEs like VSCode or WebStorm. 🔒 Compile to v8 bytecode to protect source code. 🏷️ Support for TypeScript decorators. 📦 Out-of-the-box support for TypeScript, Vue, React, Svelte, SolidJS and more. Usage Install sh npm i electron-vite -D Development & Build In a project where electron-vite is installed, you can use electron-vite binary directly with npx electron-vite or add the npm scripts to your package.json file like this: json { "scripts": { "start": "electron-vite preview", "dev": "electron-vite dev", "prebuild": "electron-vite build" } } Configuration When running electron-vite from the command line, electron-vite will automatically try to resolve a config file named electron.vite.config.js inside project root. The most basic config file looks like this: js // electron.vite.config.js export default { main: { // vite config options }, preload: { // vite config options }, renderer: { // vite config options } } Getting Started Clone the electron-vite-boilerplate or use the create-electron tool to scaffold your project. bash npm create @quick-start/electron Currently supported template presets include: | JavaScript | TypeScript | | :--------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------: | | vanilla | vanilla-ts | | vue | vue-ts | | react | react-ts | | svelte | svelte-ts | | solid | solid-ts | Contribution See Contributing Guide . License MIT © alex.wei

Next generation Electron build tooling based on Vite 新一代 Electron 开发构建工具，支持源代码保护

electron,source-code-protection,vite,hmr,hot-reloading,node-worker,typescript-decorator,bytecode

lens-protocol/core

@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@ @@@@@@@@@ @@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@ @@ @@@@@@@@ @@@@@@ @ @@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ Lens Protocol The Lens Protocol is a decentralized, non-custodial social graph. Lens implements unique, on-chain social interaction mechanisms analogous to commonly understood Web2 social media interactions, but significantly expanded with unique functionality that empower communities to form and participants to own their own social graph. Setup 1. Clone the Repository git clone git@github.com:lens-protocol/core.git 2. Install Foundry Follow the instructions from their repository or just do: curl -L https://foundry.paradigm.xyz | bash foundryup 3. Install dependencies in submodules You can do it either with forge: forge install or directly with git: git submodule update --init --recursive 4. Create Your .env File Copy the .env.example file into .env and fill the necessary fields: ``` MNEMONIC= POLYGON_RPC_URL= MUMBAI_RPC_URL= KOVAN_RPC_URL= ROPSTEN_RPC_URL= MAINNET_RPC_URL= BLOCK_EXPLORER_KEY= TENDERLY_PROJECT= TENDERLY_USERNAME= TENDERLY_FORK_ID= TENDERLY_HEAD_ID= Forking setup (uncomment to test using a fork) TESTING_FORK=mainnet TESTING_FORK_CURRENT_VERSION=1 TESTING_FORK_BLOCK=45504400 ``` If you just want to test locally without a fork, then you can skip this step. 5. Build You can compile the project using: forge build You may notice a warning about some files exceeding code size. To avoid the warning, you can compile Via IR but it will take more time: forge build --via-ir 6. Test You can run unit tests using: forge test To run the tests on a fork you need to fill the .env file from the step above, and uncomment the TESTING_FORK variables. 7. Coverage You can run coverage using: forge coverage

The Lens Protocol

[]

s0md3v/Smap

passive Nmap like scanner built with shodan.io Smap is a port scanner built with shodan.io's free API. It takes same command line arguments as Nmap and produces the same output which makes it a drop-in replacament for Nmap. Features Scans 200 hosts per second Doesn't require any account/api key Vulnerability detection Supports all nmap's output formats Service and version fingerprinting Makes no contact to the targets Installation Binaries You can download a pre-built binary from here and use it right away. Manual go install -v github.com/s0md3v/smap/cmd/smap@latest Confused or something not working? For more detailed instructions, click here AUR pacakge Smap is available on AUR as smap-git (builds from source) and smap-bin (pre-built binary). Homebrew/Mac Smap is also avaible on Homebrew . brew update brew install smap Usage Smap takes the same arguments as Nmap but options other than -p , -h , -o* , -iL are ignored. If you are unfamiliar with Nmap, here's how to use Smap. Specifying targets smap 127.0.0.1 127.0.0.2 You can also use a list of targets, seperated by newlines. smap -iL targets.txt Supported formats 1.1.1.1 // IPv4 address example.com // hostname 178.23.56.0/8 // CIDR Output Smap supports 6 output formats which can be used with the -o* as follows smap example.com -oX output.xml If you want to print the output to terminal, use hyphen ( - ) as filename. Supported formats oX // nmap's xml format oG // nmap's greppable format oN // nmap's default format oA // output in all 3 formats above at once oP // IP:PORT pairs seperated by newlines oS // custom smap format oJ // json Note: Since Nmap doesn't scan/display vulnerabilities and tags, that data is not available in nmap's formats. Use -oS to view that info. Specifying ports Smap scans these 1237 ports by default. If you want to display results for certain ports, use the -p option. smap -p21-30,80,443 -iL targets.txt Considerations Since Smap simply fetches existent port data from shodan.io, it is super fast but there's more to it. You should use Smap if: You want vulnerability detection a super fast port scanner results for most common ports (top 1237) no connections to be made to the targets You are okay with not being able to scan IPv6 addresses results being up to 7 days old a few false negatives

a drop-in replacement for Nmap powered by shodan.io

port-scanner,nmap,scanner,scanning,port-scanning,nmap-alternative,network-security,network-scanner

mrd0x/BITB

BITB Browser templates for Browser In The Browser (BITB) attack. More information: https://mrd0x.com/browser-in-the-browser-phishing-attack/ Usage Each folder has a index.html file which has 4 variables that must be modified: XX-TITLE-XX - The title that shows up for the page (e.g. Sign in to your account now) XX-DOMAIN-NAME-XX - Domain name you're masquerading as. (e.g. gmail.com) XX-DOMAIN-PATH-XX - Domain path (e.g. /auth/google/login) XX-PHISHING-LINK-XX - Phishing link which will be embedded into the iFrame (e.g. https://example.com) Furthermore, if you're using a Windows template you should update the logo.svg which is the icon of the website you're masquerading as. The default logo is Microsoft. Windows-DarkMode-Delay The Windows-DarkMode-Delay folder makes use of jQuery's fadeIn() function to add a slight delay to the pop-up window as it appears. This is only one way of making the Window appear in a delayed fashion, there's various other ways to do the same. Demo Detecting Color Preference To get the most out of this you should determine the OS from the user agent and the color preference and display the appropriate template. To find out if you should use dark or light templates check out: https://stackoverflow.com/questions/50840168/how-to-detect-if-the-os-is-in-dark-mode-in-browsers Detecting BITB Dragging the Window One way of detecting BITB is by attempting to drag the window to the edge of the browser. If the window cannot escape the browser then it's not a real window. Browser Extension @odacavo released a great browser extension that can detect and warn users about embedded iframes. It's available here: https://github.com/odacavo/enhanced-iframe-protection All credits go to @odacavo. Disclaimer Usage of these templates for attacking targets without prior consent is illegal. It's the end user's responsibility to obey all applicable laws. The developer is not responsible for any misuse of these templates.

Browser In The Browser (BITB) Templates

[]

Linen-dev/linen.dev

Make Slack and Discord communities Google-searchable Linen syncs your Slack and Discord threads to an SEO friendly website that allows your community to discover you through search engines and reduces the number of repeat questions. Retain your community knowledge and improve your SEO Core Features: Search engine friendly Linen syncs all your threads in your public channels and threads to linen.dev/s/your_slack_workspace_name. This makes your Slack/Discord contents available for your community members without requiring a login. Generate organic content for your website and domain The paid edition puts Linen behind your subdomain where you can generate organic SEO friendly content that is relevant for your domain. You will get a 301 redirect from our subdomain to yours to give all the SEO benefits. You also will be able to customize your Linen page with your custom logo and branding. Scale your community and reduce support burden Slack/Discord communities are great for chatting and engaging but over time they become overwhelming. As a community grows so does the number of repeat questions. As previously a former open source maintainer I wanted to minimize the number of repeat questions and encourage the community to search. A better experience for your community Linen is a great way to make your community content more discoverable. No longer do you need to login to your Slack/Discord workspace to view your community's content. You can link specific conversations in github issues without requiring a sign in to get the context of the issue. Community Privacy Linen only syncs conversations in the public channels. We only pull the display name and profile picture from Slack/Discord and we do not store community member's email or private information. Upon request we will delete any community member's information and messages within 14 days. Finally we have the options of anonymizing your community member's display name with a fake randomly generated string like many-ancient-parrot , adventurous-billowy-kangaroo , and benedict-cumberbatch . How to contribute Contributing Developers Docs Getting Started

Lightweight Google-searchable Slack alternative for Communities

chat,collaboration,discord,slack,typescript

google-research/frame-interpolation

FILM: Frame Interpolation for Large Motion Website | Paper | Google AI Blog | Tensorflow Hub Colab | YouTube The official Tensorflow 2 implementation of our high quality frame interpolation neural network. We present a unified single-network approach that doesn't use additional pre-trained networks, like optical flow or depth, and yet achieve state-of-the-art results. We use a multi-scale feature extractor that shares the same convolution weights across the scales. Our model is trainable from frame triplets alone. FILM: Frame Interpolation for Large Motion Fitsum Reda 1 , Janne Kontkanen 1 , Eric Tabellion 1 , Deqing Sun 1 , Caroline Pantofaru 1 , Brian Curless 1,2 1 Google Research, 2 University of Washington In ECCV 2022. FILM transforms near-duplicate photos into a slow motion footage that look like it is shot with a video camera. Web Demo Integrated into Hugging Face Spaces 🤗 using Gradio . Try out the Web Demo: Try the interpolation model with the replicate web demo at Try FILM to interpolate between two or more images with the PyTTI-Tools at An alternative Colab for running FILM on arbitrarily more input images, not just on two images, Change Log Nov 28, 2022 : Upgrade eval.interpolator_cli for high resolution frame interpolation . --block_height and --block_width determine the total number of patches ( block_height*block_width ) to subdivide the input images. By default, both arguments are set to 1, and so no subdivision will be done. Mar 12, 2022 : Support for Windows, see WINDOWS_INSTALLATION.md . Mar 09, 2022 : Support for high resolution frame interpolation . Set --block_height and --block_width in eval.interpolator_test to extract patches from the inputs, and reconstruct the interpolated frame from the iteratively interpolated patches. Installation Get Frame Interpolation source codes git clone https://github.com/google-research/frame-interpolation cd frame-interpolation Optionally, pull the recommended Docker base image docker pull gcr.io/deeplearning-platform-release/tf2-gpu.2-6:latest If you do not use Docker, set up your NVIDIA GPU environment with: Anaconda Python 3.9 CUDA Toolkit 11.2.1 cuDNN 8.1.0 Install frame interpolation dependencies pip3 install -r requirements.txt sudo apt-get install -y ffmpeg See WINDOWS_INSTALLATION for Windows Support Pre-trained Models Create a directory where you can keep large files. Ideally, not in this directory. mkdir -p <pretrained_models> Download pre-trained TF2 Saved Models from google drive and put into <pretrained_models> . The downloaded folder should have the following structure: <pretrained_models>/ ├── film_net/ │ ├── L1/ │ ├── Style/ │ ├── VGG/ ├── vgg/ │ ├── imagenet-vgg-verydeep-19.mat Running the Codes The following instructions run the interpolator on the photos provided in 'frame-interpolation/photos'. One mid-frame interpolation To generate an intermediate photo from the input near-duplicate photos, simply run: python3 -m eval.interpolator_test \ --frame1 photos/one.png \ --frame2 photos/two.png \ --model_path <pretrained_models>/film_net/Style/saved_model \ --output_frame photos/output_middle.png This will produce the sub-frame at t=0.5 and save as 'photos/output_middle.png'. Many in-between frames interpolation It takes in a set of directories identified by a glob (--pattern). Each directory is expected to contain at least two input frames, with each contiguous frame pair treated as an input to generate in-between frames. Frames should be named such that when sorted (naturally) with natsort , their desired order is unchanged. python3 -m eval.interpolator_cli \ --pattern "photos" \ --model_path <pretrained_models>/film_net/Style/saved_model \ --times_to_interpolate 6 \ --output_video You will find the interpolated frames (including the input frames) in 'photos/interpolated_frames/', and the interpolated video at 'photos/interpolated.mp4'. The number of frames is determined by --times_to_interpolate , which controls the number of times the frame interpolator is invoked. When the number of frames in a directory is num_frames , the number of output frames will be (2^times_to_interpolate+1)*(num_frames-1) . Datasets We use Vimeo-90K as our main training dataset. For quantitative evaluations, we rely on commonly used benchmark datasets, specifically: Vimeo-90K Middlebury-Other UCF101 Xiph Creating a TFRecord The training and benchmark evaluation scripts expect the frame triplets in the TFRecord storage format. We have included scripts that encode the relevant frame triplets into a tf.train.Example data format, and export to a TFRecord file. You can use the commands python3 -m datasets.create_<dataset_name>_tfrecord --help for more information. For example, run the command below to create a TFRecord for the Middlebury-other dataset. Download the images and point --input_dir to the unzipped folder path. python3 -m datasets.create_middlebury_tfrecord \ --input_dir=<root folder of middlebury-other> \ --output_tfrecord_filepath=<output tfrecord filepath> \ --num_shards=3 The above command will output a TFRecord file with 3 shards as <output tfrecord filepath>@3 . Training Below are our training gin configuration files for the different loss function: training/ ├── config/ │ ├── film_net-L1.gin │ ├── film_net-VGG.gin │ ├── film_net-Style.gin To launch a training, simply pass the configuration filepath to the desired experiment. By default, it uses all visible GPUs for training. To debug or train on a CPU, append --mode cpu . python3 -m training.train \ --gin_config training/config/<config filename>.gin \ --base_folder <base folder for all training runs> \ --label <descriptive label for the run> When training finishes, the folder structure will look like this: <base_folder>/ ├── <label>/ │ ├── config.gin │ ├── eval/ │ ├── train/ │ ├── saved_model/ Build a SavedModel Optionally, to build a SavedModel format from a trained checkpoints folder, you can use this command: python3 -m training.build_saved_model_cli \ --base_folder <base folder of training sessions> \ --label <the name of the run> By default, a SavedModel is created when the training loop ends, and it will be saved at <base_folder>/<label>/saved_model . Evaluation on Benchmarks Below, we provided the evaluation gin configuration files for the benchmarks we have considered: eval/ ├── config/ │ ├── middlebury.gin │ ├── ucf101.gin │ ├── vimeo_90K.gin │ ├── xiph_2K.gin │ ├── xiph_4K.gin To run an evaluation, simply pass the configuration file of the desired evaluation dataset. If a GPU is visible, it runs on it. python3 -m eval.eval_cli \ --gin_config eval/config/<eval_dataset>.gin \ --model_path <pretrained_models>/film_net/L1/saved_model The above command will produce the PSNR and SSIM scores presented in the paper. Citation If you find this implementation useful in your works, please acknowledge it appropriately by citing: @inproceedings{reda2022film, title = {FILM: Frame Interpolation for Large Motion}, author = {Fitsum Reda and Janne Kontkanen and Eric Tabellion and Deqing Sun and Caroline Pantofaru and Brian Curless}, booktitle = {European Conference on Computer Vision (ECCV)}, year = {2022} } @misc{film-tf, title = {Tensorflow 2 Implementation of "FILM: Frame Interpolation for Large Motion"}, author = {Fitsum Reda and Janne Kontkanen and Eric Tabellion and Deqing Sun and Caroline Pantofaru and Brian Curless}, year = {2022}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/google-research/frame-interpolation}} } Acknowledgments We would like to thank Richard Tucker, Jason Lai and David Minnen. We would also like to thank Jamie Aspinall for the imagery included in this repository. Coding style 2 spaces for indentation 80 character line length PEP8 formatting Disclaimer This is not an officially supported Google product.

FILM: Frame Interpolation for Large Motion, In ECCV 2022.

optical-flow,splatting,video,forward-warp,frame-interpolation

mantinedev/ui.mantine.dev

Mantine UI Mantine UI is a set of more than 120 responsive components built with Mantine . All components support dark/light color scheme and Mantine theme customizations. Mantine UI is free for everyone. Contributing Mantine UI is an open source project with MIT license – you can browse source code and use components in your applications without any limitations. Although the project is open source, we do not accept any contributions to the codebase of Mantine UI (unless maintainers asked you to send a PR). You can contribute to the Mantine library codebase instead. License MIT

Mantine UI website and components

react,ui,components

tylearymf/UniHacker

UniHacker English Doc 支持破解所有国际版本的Unity和UnityHub。 自从 Unity2022.2.0 及以上版本重构了License逻辑，目前无法破解。问题跳转： #78 下载地址 Unity国际版 官方下载地址（需要配置代理，代理没配置好可能会下载的国内版） https://unity3d.com/get-unity/download/archive UnityHub国际版 官方下载地址（需要配置代理，代理没配置好可能会下载的国内版） https://unity.com/download#how-get-started Unity国际版 UnityHub国际版 第三方下载地址（不需要配置代理，基本上下载的都是国际版） https://github.com/AlianBlank/download.unity.com UnityHub直链下载地址（需要配置代理，代理没配置好可能会下载的国内版） Windows：https://public-cdn.cloud.unity3d.com/hub/prod/UnityHubSetup.exe Mac：https://public-cdn.cloud.unity3d.com/hub/prod/UnityHubSetup.dmg Linux：https://docs.unity3d.com/hub/manual/InstallHub.html#install-hub-linux 使用教程 在软件上选择你要破解的 Unity.exe 后，点击破解即可使用，这时已经可以双击Unity.exe打开工程了。如果提示不支持请提交 issue 如果还需要配合Unity Hub，那么也在软件上选择 Unity Hub.exe，点击破解，即可搭配Unity Hub一起使用 注意： 只破解 Unity Hub.exe 是无法打开工程的，因为破解 Unity.exe 才是主要的 Unity Hub登录教程 将UnityHub的语言改成English，走后面的流程会自动打开 unity.com，如果还是打开的 unity.cn，那么再走这个步骤：删除本地缓存目录 Windows：%AppData%/UnityHub（C:\Users\你的用户名\AppData\Roaming\UnityHub） 在 Proxifier 的规则设置中将UnityHub加入代理，需要配合梯子，具体网络搜索，这里不细说 打开UnityHub，点击Sign In，会跳转到 https://api.unity.com/v1/oauth2/...，注意这里是 .com是正确的，如果是 .cn的说明你的第一步或者第二步操作有问题 注册个Unity国外账号（用邮箱注册就可以了，不需要手机号），然后登录好后会自动跳转会UnityHub，如果没反应，可以退出UnityHub再点击登录 注意事项 上面的地址下载时需要 全程代理 ，不然可能会出现时重定向为国内地址，具体在软件分析时会提示为 国内特供版 。 国内特供版的是不支持破解的 。 Docker unihacker-docker Windows 系统 支持破解的Unity版本 | 2023.x | 2022.2 | 2022.1 | 2021.x | 2020.x | 2019.x | | :----: | :----: | :----------------: | :----------------: | :----------------: | :----------------: | | :x: | :x: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | 2018.x | 2017.x | 5.x | 4.x | | | | :----------------: | :----------------: | :----------------: | :----------------: | ---- | ---- | | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | | 支持破解的Unity Hub版本 | 3.x | 2.x | | | | | | :----------------: | :----------------: | :--: | ---- | ---- | ---- | | :heavy_check_mark: | :heavy_check_mark: | | | | | Mac 系统 支持破解的Unity版本 | 2023.x | 2022.2 | 2022.1 | 2021.x | 2020.x | 2019.x | | :----: | :----: | :----------------: | :----------------: | :----------------: | :----------------: | | :x: | :x: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | 2018.x | 2017.x | 5.x | 4.x | | | | :----------------: | :----------------: | :----------------: | :----------------: | ---- | ---- | | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | | 支持破解的Unity Hub版本 | 3.x | 2.x | | | | | | :----------------: | :----------------: | :--: | ---- | ---- | ---- | | :heavy_check_mark: | :heavy_check_mark: | | | | | Linux 系统 支持破解的Unity版本 | 2023.x | 2022.2 | 2022.1 | 2021.x | 2020.x | 2019.x | | :----: | :----: | :----------------: | :----------------: | :----------------: | :----------------: | | :x: | :x: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | 2018.x | 2017.x | | | | | | :----------------: | :----------------: | ---- | ---- | ---- | ---- | | :heavy_check_mark: | :heavy_check_mark: | | | | | 支持破解的Unity Hub版本 | 3.x | 2.x | | | | | | :----------------: | :----------------: | :--: | ---- | ---- | ---- | | :heavy_check_mark: | :heavy_check_mark: | | | | | 免责声明 本软件的任何使用仅用于非营利性的教育和测试目的。 鸣谢 asar unity-patch Avalonia

Patch all versions of Unity3D and UnityHub for Windows, MacOS, Linux and Docker.

crack,patch,unity,unity-hub,unity3d,unityhub,unitytool,docker

Rectify11/Installer

[](https://github.com/Rectify11/Installer/issues) [](https://github.com/Rectify11/Installer/pulls)    [](https://discord.gg/gsgu9GCtsk) Rectify11 improves the consistency of Windows 11 by modifying system files in a safe way, and by using various programs to improve the Windows 11 experience.

A Windows 11 modification which makes it more consistent.

[]

ferdium/ferdium-app

Ferdium Ferdium Screenshots Download Migrating from Ferdi Styling Contributing Contributors ✨ 🤴🏽 Hard-fork of Franz , adding awesome features and removing unwanted ones. Ferdium is a desktop app that helps you organize how you use your favourite apps by combining them into one application. It is based on Franz - a software already used by thousands of people - with the difference that Ferdium gives you many additional features and doesn't restrict its usage! Furthermore, Ferdium is compatible with your existing Franz account, so you can continue right where you left off. Please find out more about Ferdium and its features on ferdium.org . Screenshots Toggle screenshots "Keep all your messaging services in one place." "Order your services with Ferdium Workspaces." "Always keep your Todos list open with Ferdium Todos." "Supporting all your services." Download 👉 ferdium.org/download Assets made available via GitHub releases . Find answers to frequently asked questions on ferdium.org/faq . Migrating from Ferdi If you are a pre-existing user of Ferdi, and are thinking of switching to Ferdium, you might want to run the following scripts to migrate your existing Ferdi profile such that Ferdium can pick up the configurations. (.ps1 for PowerShell/Windows users and .sh for UNIX (Linux and MacOS users). For a more detailed explanation, please see MIGRATION.md Styling You can style Ferdium's UI with the USER_DATA/Ferdium/config/custom.css file. Note USER_DATA 's location depends on your platform: Windows : %APPDATA% Linux : $XDG_CONFIG_HOME or ~/.config/ MacOS : ~/Library/Application Support Contributing Please read the contributing guidelines to setup your development machine and proceed. Contributors ✨ Thanks goes to these wonderful people ( emoji key ): This project follows the all-contributors specification. Contributions of any kind welcome!

All your services in one place, built by the community

hacktoberfest,hacktoberfest-accepted

postgresml/pgcat

PgCat: Nextgen PostgreSQL Pooler PostgreSQL pooler and proxy (like PgBouncer) with support for sharding, load balancing, failover and mirroring. Features | Feature | Status | Comments | |-------------|------------|--------------| | Transaction pooling | Stable | Identical to PgBouncer with notable improvements for handling bad clients and abandoned transactions. | | Session pooling | Stable | Identical to PgBouncer. | | Multi-threaded runtime | Stable | Using Tokio asynchronous runtime, the pooler takes advantage of multicore machines. | | Load balancing of read queries | Stable | Queries are automatically load balanced between replicas and the primary. | | Failover | Stable | Queries are automatically rerouted around broken replicas, validated by regular health checks. | | Admin database statistics | Stable | Pooler statistics and administration via the pgbouncer and pgcat databases. | | Prometheus statistics | Stable | Statistics are reported via a HTTP endpoint for Prometheus. | | SSL/TLS | Stable | Clients can connect to the pooler using TLS. Pooler can connect to Postgres servers using TLS. | | Client/Server authentication | Stable | Clients can connect using MD5 authentication, supported by libpq and all Postgres client drivers. PgCat can connect to Postgres using MD5 and SCRAM-SHA-256. | | Live configuration reloading | Stable | Identical to PgBouncer; all settings can be reloaded dynamically (except host and port ). | | Auth passthrough | Stable | MD5 password authentication can be configured to use an auth_query so no cleartext passwords are needed in the config file.| | Sharding using extended SQL syntax | Experimental | Clients can dynamically configure the pooler to route queries to specific shards. | | Sharding using comments parsing/Regex | Experimental | Clients can include shard information (sharding key, shard ID) in the query comments. | | Automatic sharding | Experimental | PgCat can parse queries, detect sharding keys automatically, and route queries to the correct shard. | | Mirroring | Experimental | Mirror queries between multiple databases in order to test servers with realistic production traffic. | Status PgCat is stable and used in production to serve hundreds of thousands of queries per second. Instacart PostgresML OneSignal Some features remain experimental and are being actively developed. They are optional and can be enabled through configuration. Deployment See Dockerfile for example deployment using Docker. The pooler is configured to spawn 4 workers so 4 CPUs are recommended for optimal performance. That setting can be adjusted to spawn as many (or as little) workers as needed. A Docker image is available from docker pull ghcr.io/postgresml/pgcat:latest . See our Github packages repository . For quick local example, use the Docker Compose environment provided: ```bash docker-compose up In a new terminal: PGPASSWORD=postgres psql -h 127.0.0.1 -p 6432 -U postgres -c 'SELECT 1' ``` Config See Configuration . Contributing The project is being actively developed and looking for additional contributors and production deployments. Local development Install Rust (latest stable will work great). cargo build --release (to get better benchmarks). Change the config in pgcat.toml to fit your setup (optional given next step). Install Postgres and run psql -f tests/sharding/query_routing_setup.sql (user/password may be required depending on your setup) RUST_LOG=info cargo run --release You're ready to go! Tests When making substantial modifications to the protocol implementation, make sure to test them with pgbench: pgbench -i -h 127.0.0.1 -p 6432 && \ pgbench -t 1000 -p 6432 -h 127.0.0.1 --protocol simple && \ pgbench -t 1000 -p 6432 -h 127.0.0.1 --protocol extended See sharding README for sharding logic testing. Additionally, all features are tested with Ruby, Python, and Rust unit and integration tests. Run cargo test to run Rust unit tests. Run the following commands to run Ruby and Python integration tests: cd tests/docker/ docker compose up --exit-code-from main # This will also produce coverage report under ./cov/ Docker-based local development You can open a Docker development environment where you can debug tests easier. Run the following command to spin it up: ./dev/script/console This will open a terminal in an environment similar to that used in tests. In there, you can compile the pooler, run tests, do some debugging with the test environment, etc. Objects compiled inside the container (and bundled gems) will be placed in dev/cache so they don't interfere with what you have on your machine. Usage Session mode In session mode, a client talks to one server for the duration of the connection. Prepared statements, SET , and advisory locks are supported. In terms of supported features, there is very little if any difference between session mode and talking directly to the server. To use session mode, change pool_mode = "session" . Transaction mode In transaction mode, a client talks to one server for the duration of a single transaction; once it's over, the server is returned to the pool. Prepared statements, SET , and advisory locks are not supported; alternatives are to use SET LOCAL and pg_advisory_xact_lock which are scoped to the transaction. This mode is enabled by default. Load balancing of read queries All queries are load balanced against the configured servers using either the random or least open connections algorithms. The most straightforward configuration example would be to put this pooler in front of several replicas and let it load balance all queries. If the configuration includes a primary and replicas, the queries can be separated with the built-in query parser. The query parser, implemented with the sqlparser crate, will interpret the query and route all SELECT queries to a replica, while all other queries including explicit transactions will be routed to the primary. Query parser The query parser will do its best to determine where the query should go, but sometimes that's not possible. In that case, the client can select which server it wants using this custom SQL syntax: ```sql -- To talk to the primary for the duration of the next transaction: SET SERVER ROLE TO 'primary'; -- To talk to the replica for the duration of the next transaction: SET SERVER ROLE TO 'replica'; -- Let the query parser decide SET SERVER ROLE TO 'auto'; -- Pick any server at random SET SERVER ROLE TO 'any'; -- Reset to default configured settings SET SERVER ROLE TO 'default'; ``` The setting will persist until it's changed again or the client disconnects. By default, all queries are routed to the first available server; default_role setting controls this behavior. Failover All servers are checked with a ; (very fast) query before being given to a client. Additionally, the server health is monitored with every client query that it processes. If the server is not reachable, it will be banned and cannot serve any more transactions for the duration of the ban. The queries are routed to the remaining servers. If all servers become banned, the ban list is cleared: this is a safety precaution against false positives. The primary can never be banned. The ban time can be changed with ban_time . The default is 60 seconds. Sharding We use the PARTITION BY HASH hashing function, the same as used by Postgres for declarative partitioning. This allows to shard the database using Postgres partitions and place the partitions on different servers (shards). Both read and write queries can be routed to the shards using this pooler. Extended syntax To route queries to a particular shard, we use this custom SQL syntax: ```sql -- To talk to a shard explicitly SET SHARD TO '1'; -- To let the pooler choose based on a value SET SHARDING KEY TO '1234'; ``` The active shard will last until it's changed again or the client disconnects. By default, the queries are routed to shard 0. For hash function implementation, see src/sharding.rs and tests/sharding/partition_hash_test_setup.sql . ActiveRecord/Rails ```ruby class User < ActiveRecord::Base end Metadata will be fetched from shard 0 ActiveRecord::Base.establish_connection Grab a bunch of users from shard 1 User.connection.execute "SET SHARD TO '1'" User.take(10) Using id as the sharding key User.connection.execute "SET SHARDING KEY TO '1234'" User.find_by_id(1234) Using geographical sharding User.connection.execute "SET SERVER ROLE TO 'primary'" User.connection.execute "SET SHARDING KEY TO '85'" User.create(name: "test user", email: "test@example.com", zone_id: 85) Let the query parser figure out where the query should go. We are still on shard = hash(85) % shards. User.connection.execute "SET SERVER ROLE TO 'auto'" User.find_by_email("test@example.com") ``` Raw SQL ```sql -- Grab a bunch of users from shard 1 SET SHARD TO '1'; SELECT * FROM users LIMT 10; -- Find by id SET SHARDING KEY TO '1234'; SELECT * FROM USERS WHERE id = 1234; -- Writing in a primary/replicas configuration. SET SHARDING ROLE TO 'primary'; SET SHARDING KEY TO '85'; INSERT INTO users (name, email, zome_id) VALUES ('test user', 'test@example.com', 85); SET SERVER ROLE TO 'auto'; -- let the query router figure out where the query should go SELECT * FROM users WHERE email = 'test@example.com'; -- shard setting lasts until set again; we are reading from the primary ``` With comments Issuing queries to the pooler can cause additional latency. To reduce its impact, it's possible to include sharding information inside SQL comments sent via the query. This is reasonably easy to implement with ORMs like ActiveRecord and SQLAlchemy . ``` / shard_id: 5 / SELECT * FROM foo WHERE id = 1234; / sharding_key: 1234 / SELECT * FROM foo WHERE id = 1234; ``` Automatic query parsing PgCat can use the sqlparser crate to parse SQL queries and extract the sharding key. This is configurable with the automatic_sharding_key setting. This feature is still experimental, but it's the ideal implementation for sharding, requiring no client modifications. Statistics reporting The stats are very similar to what PgBouncer reports and the names are kept to be comparable. They are accessible by querying the admin database pgcat , and pgbouncer for compatibility. psql -h 127.0.0.1 -p 6432 -d pgbouncer -c 'SHOW DATABASES' Additionally, Prometheus statistics are available at /metrics via HTTP. Live configuration reloading The config can be reloaded by sending a kill -s SIGHUP to the process or by querying RELOAD to the admin database. All settings except the host and port can be reloaded without restarting the pooler, including sharding and replicas configurations. Mirroring Mirroring allows to route queries to multiple databases at the same time. This is useful for prewarning replicas before placing them into the active configuration, or for testing different versions of Postgres with live traffic. License PgCat is free and open source, released under the MIT license. Contributors Many thanks to our amazing contributors!

PostgreSQL pooler with sharding, load balancing and failover support.

pooler,postgresql,pooling,rust

T8RIN/ImageToolbox

Image Toolbox Image Toolbox is a powerful picture editor, which can crop, apply filters, add some drawing, erase background, edit EXIF or even create PDF file # ✈️ Telegram Links Join our chat where you can discuss anything you want and also look into the CI channel where I will post betas and announcements # ☕ Buy me a coffee This application is completely free, but if you want to support the project development, you can send a donation to the crypto wallets below |  -> ```17Pk1RurnkJxLV9V7mc6Y7dLyHFb9rvQDq``` <- |  -> ```TMPAu7a54NvQNEKnNWh3naXu3oYijqP3U7``` <- | | :----: | :----: | # 📲 Download Go to the [Releases](https://github.com/t8rin/imageresizer/releases/latest) and the download latest apk or click one of the badges below. ✨ Features Batch processing Applying filter chains (More than 180 various filters) Available filters - [x] Saturation - [x] Contrast - [x] Brightness - [x] Exposure - [x] RGB - [x] Hue - [x] White Balance - [x] Monochrome - [x] Black and White - [x] False Color - [x] Sharpen - [x] Gamma - [x] Highlights and Shadows - [x] Haze - [x] Sepia Tone - [x] Color Inversion - [x] Solarize - [x] Vibrance - [x] Luminance Threshold - [x] Pixellate - [x] Halftone - [x] Crosshatch - [x] Sobel Edge Detection - [x] Sketch Filter - [x] Toon Filter - [x] SmoothToon Filter - [x] CGA Colorspace Filter - [x] Posterize - [x] Convolution 3x3 - [x] Emboss Filter - [x] Laplacian - [x] Kuwahara Filter - [x] Vignette - [x] Gaussian Blur - [x] Box Blur - [x] Stack Blur - [x] Fast Blur - [x] Bilaterial Blur - [x] Zoom Blur - [x] Median Blur - [x] Pixelation - [x] Enhanced Pixelation - [x] Stroke Pixelation - [x] Circle Pixelation - [x] Enhanced Circle Pixelation - [x] Diamond Pixelation - [x] Enhanced Diamond Pixelation - [x] Swirl Distortion - [x] Bulge Distortion - [x] Sphere Refraction - [x] Glass Sphere Refraction - [x] Dilation - [x] Non Maximum Suppression - [x] Opacity - [x] Weak Pixel Inclusion Filter - [x] Color Matrix 4x4 - [x] Lookup - [x] Color Replacement - [x] Color Removance - [x] Bayer Two Dithering - [x] Bayer Three Dithering - [x] Bayer Four Dithering - [x] Bayer Eight Dithering - [x] Floyd Steinberg Dithering - [x] Jarvis Judice Ninke Dithering - [x] Sierra Dithering - [x] Two Row Sierra Dithering - [x] Sierra Lite Dithering - [x] Atkinson Dithering - [x] Stucki Dithering - [x] Burkes Dithering - [x] False Floyd Steinberg Dithering - [x] Left To Right Dithering - [x] Random Dithering - [x] Simple Threshold Dithering - [x] Quantizier - [x] Glitch Effect - [x] Enhanced Glitch Effect - [x] Anaglyph - [x] Noise - [x] Tent Blur - [x] Side Fade - [x] Erode - [x] Anisotropic Diffusion - [x] Horizontal Wind Stagger - [x] Fast Bilaterial Blur - [x] Poisson Blur - [x] Logarithmic Tone Mapping - [x] Aces Filmic Tone Mapping - [x] Crystallize - [x] Fractal Glass - [x] Marble - [x] Oil - [x] Water Effect - [x] Hable Filmic Tone Mapping - [x] Aces Hill Tone Mapping - [x] Hejl Burgess Tone Mapping - [x] Perlin Distortion - [x] Grayscale - [x] Dehaze - [x] Color Matrix 3x3 - [x] Achromatomaly - [x] Achromatopsia - [x] Browni - [x] CodaChrome - [x] Cool - [x] Deutaromaly - [x] Deutaronotopia - [x] Night Vision - [x] Polaroid - [x] Protanopia - [x] Protonomaly - [x] Tritanopia - [x] Tritonomaly - [x] Vintage - [x] Warm - [x] Grain - [x] Unsharp - [x] Pastel - [x] Orange Haze - [x] Pink Dream - [x] Golden Hour - [x] Hot Summer - [x] Purple Mist - [x] Sunrise - [x] Colorful Swirl - [x] Soft Spring Light - [x] Autumn Tones - [x] Lavender Dream - [x] Cyberpunk - [x] Lemonade Light - [x] Spectral Fire - [x] Night Magic - [x] Fantasy Landscape - [x] Color Explosion - [x] Electric Gradient - [x] Caramel Darkness - [x] Futuristic Gradient - [x] Green Sun - [x] Rainbow World - [x] Deep Purple - [x] Space Portal - [x] Red Swirl - [x] Digital Code - [x] Bokeh - [x] Neon - [x] Old Tv - [x] Shuffle Blur - [x] Mobius - [x] Uchimura - [x] Aldridge - [x] Drago - [x] Color Anomaly - [x] Quantizier - [x] Ring Blur - [x] Cross Blur - [x] Circle Blur - [x] Star Blur - [x] Motion Blur - [x] Fast Gaussian Blur 2D - [x] Fast Gaussian Blur 3D - [x] Fast Gaussian Blur 4D - [x] Equalize Histogram - [x] Equalize Histogram HSV - [x] Equalize Histogram Pixelation - [x] Equalize Histogram Adaptive - [x] Equalize Histogram Adaptive LUV - [x] Equalize Histogram Adaptive LAB - [x] Equalize Histogram Adaptive HSV - [x] Equalize Histogram Adaptive HSL - [x] Clahe - [x] Clahe LUV - [x] Clahe LAB - [x] Clahe HSL - [x] Clahe HSV - [x] Crop To Content Custom Filters Creation by Template filters You can create filter from any filter chain Share created filters by QR code Scan filters from the app to get them on your device AES-256 GCM No Padding files encryption and decryption Extract Text From Images 120+ languages 3 Type of data: Fast, Standard, Best Segmentation Mode Selection Multiple languages at the same time EXIF metadata editing/deleting Loading images from internet Image Stitching Image Stacking Background Removal By drawing Automatically Watermarking By Text By Image Drawing on Image/Background Pen Neon Highlighter Privacy Blur Pixelation Paint Pointing Arrow Line Double Pointing Arrow Line Pointing Arrow Double Line Pointing Arrow Outlined Rect Outlined Oval Outlined Triangle Outlined Polygon Outlined Star Rect Oval Triangle Polygon Star Lasso Text Image Brush Image Resizing Width changing Height changing Adaptive resize Resize retaining aspect ratio Resize by given limits Center Crop with Background color changing Background blur drawing Different Scaling Algorithms Bilinear Nearest Neighbour Cubic Mitchell-Netravalli Catmull-Rom Hermite B-Spline Hann Bicubic Hamming Hanning Blackman Welch Quadric Gaussian Sphinx Bartlett Robidoux Robidoux Sharp Spline 16 Spline 36 Spline 64 Kaiser Bartlett-Hann Box Bohman Lanczos 2 Lanczos 3 Lanczos 4 Lanczos 2 Jinc Lanczos 3 Jinc Lanczos 4 Jinc Ewa Hanning Ewa Robidoux Ewa Blackman Ewa Quadric Ewa Robidoux Sharp Ewa Lanczos 3 Jinc Ginseng Ginseng EWA Lanczos Sharp EWA Lanczos 4 Sharpest EWA Lanczos Soft EWA Haasn Soft Lagrange 2 Lagrange 3 Lanczos 6 Lanczos 6 Jinc Different Scale Color Spaces Linear sRGB LAB LUV Sigmoidal XYZ F32 Gamma 2.2 F32 Gamma 2.8 F32 Rec.709 F32 sRGB LCH GIF conversion GIF to images Images to GIF APNG conversion APNG to images Images to APNG JXL transcoding JXL to JPEG JPEG to JXL Animated JXL conversion Images to JXL JXL to Images APNG to JXL GIF to JXL PDF tools PDF to images Images to PDF PDF previewing Document Scanning QR Codes Scanning Creating Sharing as images Image Shrinking Quality compressing Preset shrinking Reducing size by given weight (in KB) Cropping Regular crop Crop by aspect ratio Crop with shape mask Rounded Corners Cut Corners Oval Squircle Octagon Rounded Pentagon Clover Material Star Kotlin Logo Small Material Star Heart Enhanced Heart Star Image Mask Tracing raster images to SVG Format Conversion HEIF HEIC AVIF WEBP JPEG JPG PNG Lossless PNG Lossy MozJpeg Jpegli JXL SVG and GIF to WEBP, PNG, JPEG, JPG, HEIF, HEIC, AVIF, JXL Telegram sticker PNG format Files to Zip Comparing images Slide Toggle Tap Transparency Side By Side Color Utils Palette generation Material You Scheme Simple Colors Picking color from image Gradient creation Overlaying image with gradient Image source selection Additional Features Rotating Flipping Previewing SVG, GIF and almost all types of images Saving to any specific folder Long press on save to choose one time output folder Randomizing output filename Embedded media picker And More! 🌟 UI tweaks Selecting Emoji for top app bar Ability to use Pixel like switch instead of Material You Secure Mode for app Maximum brightness for selected screens In app language changing Enabling or Disabling confetti Custom app color scheme Different palette styles Predefined schemes Color inversion Contrast adjusting Controlling borders thickness Enabling and disabling each existing shadow Haptics controls Light/Dark mode AMOLED mode Monet implementation (Dynamic colors) even for Android versions less than 12 by Dynamic Theme Image based color scheme Icons Background shape selection Rounded Corners Cut Corners Oval Squircle Octagon Rounded Pentagon Clover Material Star Small Material Star Heart Enhanced Heart Custom fonts Montserrat Comfortaa Caveat Handjet Jura Podkova Tektur YsabeauSC DejaVu BadScript RuslanDisplay Catterdale FRM32 Tokeely Brookings Nunito Nothing WOPR Tweaked Alegreya Sans Minecraft Gnu Granite Fixed Nokia Pixel Ztivalia Axotrel Lcd Octagon Lcd Moving Unisource In app font scale changing Changing between options list and grouped view Confetti Type selection Default Festive Explode Rain Side Corners ImageToolbox Switch Type selection: Material You Compose Pixel Fluent Cupertino (Yes, the app supports dynamic coloring based on wallpapers for every android version) 📚 Tech stack & Open-source libraries Minimum SDK level 21 Kotlin based Image Toolbox Libs - set of essential libraries for Image Toolbox. Dynamic Theme - library, which allows you to easily implement custom color theming. Modal Sheet - modal bottom sheet that follows M3 guidelines. Coroutines for asynchronous work. Flow to emit values from data layer reactively. Accompanist to expand jetpack compose opportunities. Hilt for dependency injection. Coil for loading images. Compose Navigation Reimagined - High intelligence navigation library for Jetpack Compose. Konfetti to establish beautiful particle system. Jetpack Compose - Modern Declarative UI style framework based on composable functions. Material You Kit - Material 3 powerful UI components. ViewModel - Manages UI-related data holder and lifecycle awareness. Allows data to survive configuration changes such as screen rotations. Data Store - Store data asynchronously, consistently, and transactionally. Lifecycle - Observe Android lifecycles and handle UI states upon the lifecycle changes. Exif Interface - Read and write image file EXIF tags. GPU Image for creating and applying filters to the images. SmartToolFactory provides a bunch of helpful libraries. AVIF Coder and JXL Coder libraries which provide avif, heic, heif and jxl support. Aire for creating and applying filters to the images on CPU using native cpp code. # # 🌐 Translation You can help translate ImageResizer into your language on [Hosted Weblate](https://hosted.weblate.org/engage/image-resizer/) [](https://hosted.weblate.org/engage/image-resizer/) [](https://hosted.weblate.org/engage/image-resizer/) # ❤️ Find this repository useful? Support it by joining __[stargazers](https://github.com/t8rin/ImageResizer/stargazers)__ for this repository. :star: And __[follow](https://github.com/t8rin)__ me for my next creations! 🤩 # ⭐ Star History # 📢 Contributors # ⚖️ License ```xml Designed and developed by 2023 T8RIN Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ``` Photos by Pawel Czerwinski on Unsplash

🖼️ Image Toolbox is an powerful picture editor, which can crop, apply filters, add some drawing, erase background, edit EXIF or even create PDF file

jetpack-compose,kotlin,android,material-you,exif,exiftool,crop,f-droid,filter-image,aes-256

simonbs/Runestone

👋 Welcome to Runestone - a performant plain text editor for iOS with code editing features Runestone uses GitHub's Tree-sitter to parse code to a syntax tree which is used for features that require an understanding of the code in the editor, for example syntax highlighting. ✨ Features Syntax highlighting. Line numbers. Highlight the selected line. Show invisible characters (tabs, spaces and line breaks). Insertion of character pairs, e.g. inserting the trailing quotation mark when inserting the leading. Customization of colors and fonts. Toggle line wrapping on and off. Adjust height of lines. Add a page guide. Add vertical and horizontal overscroll. Highlight ranges in the text view. Search the text using regular expressions. Automatically detects if a file is using spaces or tabs for indentation. Specify line endings (CR, LF, CRLF) to use when inserting a line break. Automatically detect line endings in a text. 🚀 Getting Started Please refer to the Getting Started article in the documentation and the Meet Runestone series of tutorials. 📖 Documentation The documentation of all public types is available at docs.runestone.app . The documentation is generated from the Swift code using Apple's DocC documentation compiler . 🏎 Performance Runestone was built to be fast. Its good performance is by far mostly thanks to Tree-sitter's incremental parsing and AvalonEdit's approach for managing lines in a document . When judging the performance of Runestone, it is key to build your app in the release configuration. The optimizations applied by the compiler when using the release configuration becomes very apparent when opening large documents. 🖥 Catalyst The project should mostly work with Catalyst on the Mac, however, it isn't fully tested and the implementation isn't considered done. The focus is currently on the iPhone and iPad. 📱 Projects The Runestone framework is used by an app of the same name. The Runestone app is a plain text editor for iPhone and iPad that uses all the features of this framework. 👨‍💻 Contributing Pull requests with bugfixes and new features are much appreciated. I'll be happy to review them and merge them once they're ready, as long as they contain change that fit within the vision of Runestone and provide generally useful functionality. Clone the repository to get started working on the project. Note that Runestone depends on Tree-sitter through a submodule. This submodule must be cloned as well before Runestone can be built. Pass the --recursive option when cloning the repository to clone all submodules. bash git clone --recursive git@github.com:simonbs/Runestone.git ❤️ Acknowledgments Tree-sitter is used to parse code incrementally. Line management is translated to Swift from AvalonEdit . swift-tree-sitter and SwiftTreeSitter which have served as inspiration for the Tree-sitter bindings. Detection of indent strategy inspired by auto-detect-indentation . And last (but not least!), thanks a ton to Alexander Blach (developer of Textastic ), Till Konitzer (developer of Essayist ), Greg Pierce (developer of Drafts ) and Max Brunsfeld (developer of Tree-sitter ) for pointing me in the right direction when I got stuck.

📝 Performant plain text editor for iOS with syntax highlighting, line numbers, invisible characters and much more.

ios,swift,tree-sitter

hendricius/the-sourdough-framework

The Sourdough Framework The sourdough framework is an open-source book dedicated to helping you to make the best possible sourdough bread at home. Rather than providing recipes this book intends to provide a framework that enables you to bake bread in your respective environment. Every flour, every sourdough, and every home setup is different. This makes following recipes without background information so hard and a fail-prone endeavor. This book intends to close that gap. Background 4 years after launching the repositories the-bread-code and pizza-dough I created this project to merge the knowledge together. This project intends to go one step deeper into the workings of natural fermentation. At the same time as many scientific references as possible are provided. 🍞 Baking the book (Docker) console make Then you can check out the file book/book.pdf If you want to 🍞 bake all the versions including ebook variants (.pdf, .epub in colour and size optimized Black&White), run: console make bake You can check the files in the folder book/release/ 🍞 Baking the book locally (LaTeX) Make sure you have biber , latexmk and ImageMagick installed. Refer to your system's installation instructions for LaTeX. To create the serif .pdf format, run: console cd book/ make If you want to 🍞 bake all the versions including ebook variants (.pdf, .epub in colour and size optimized Black&White), run: console cd book/ make -j bake You can check the files in the folder book/release/ You can get some help on building various versions with: console cd book/ make help Compiled versions The below versions are automatically built on every push to the main branch. Download compiled .pdf version Download compiled .epub version There's an additional enhanced accessibility version using a sans-serif font: Download compiled sans-serif .pdf version An additional black and white ebook is provided with a greatly reduced file size. This shrinks the book from more than 50MB down to ~5MB: Download compiled B&W .epub version If you prefer a very short version (about 10 pages) with main flowcharts and crucial informations needed while you are in the kitchen, we also provide a "too long;didn't read" version you could print. Having read the full book is highly recommended to understand this leaflet: Download a condensed version Online HTML version Head over to https://www.the-sourdough-framework.com To build the website make sure to have the ruby version installed specified in website/.ruby-version . console cd book/ make website Alternatively you can build the website directly with Docker: console make website Hardcover version There is a hardcover version of the book available for purchase. You can read more details here. Support Did you find a typo, or feel the wording could be improved? Feel free to open up a pull request at any time. I believe that the knowledge this book provides is essential to everyone. That's why I decided to open source my knowledge hoping that it will reach more people all over the world without budget constraints. If you would like to contribute with a small donation you can do so via my ko-fi page. Your donation will tremendously help me to cover costs related to running the-bread-code. It furthermore allows me to dedicate time to continuously update and improve this book. Links My YouTube channel Ask a question on Discord License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License .

Open source book dedicated to helping you to make the best possible sourdough bread at home.

baking,bread,cooking,sourdough

deepflowio/deepflow

Instant Observability for Cloud & AI Applications Zero Code, Full Stack, eBPF & Wasm English | 简体中文 | 日本語 What is DeepFlow The DeepFlow open-source project aims to provide deep observability for complex cloud-native and AI applications. DeepFlow implemented Zero Code data collection with eBPF for metrics, distributed tracing, request logs and function profiling, and is further integrated with SmartEncoding to achieve Full Stack correlation and efficient access to all observability data. With DeepFlow, cloud-native and AI applications automatically gain deep observability, removing the heavy burden of developers continually instrumenting code and providing monitoring and diagnostic capabilities covering everything from code to infrastructure for DevOps/SRE teams. Key Features Universal Map for Any Service: DeepFlow provides a universal map with Zero Code by eBPF for production environments, including application services, AI services, and infrastructure services in any language. In addition to analyzing common protocols, Wasm plugins are supported for your private protocols. Full Stack golden signals of applications and infrastructures are calculated, pinpointing performance bottlenecks at ease. Distributed Tracing for Any Request: Zero Code distributed tracing powered by eBPF supports applications in any language and infrastructures including gateways, service meshes, databases, message queues, DNS and NICs, leaving no blind spots. Full Stack network performance metrics and file I/O events are automatically collected for each Span. Distributed tracing enters a new era: Zero Instrumentation. Continuous Profiling for Any Function: DeepFlow collects profiling data at a cost of below 1% with Zero Code , plots OnCPU/OffCPU/GPU/Memory/Network function call stack flame graphs, locates Full Stack performance bottleneck in business functions, library and framework functions, runtime functions, shared library functions, kernel function, CUDA functions, and automatically relates them to distrubuted tracing data. Seamless Integration with Popular Stack: DeepFlow can serve as storage backed for Prometheus, OpenTelemetry, SkyWalking and Pyroscope. It also provides SQL, PromQL and OLTP APIs to work as data source in popular observability stacks. It injects meta tags for all observability signals including cloud resource, K8s container, K8s labels, K8s annotations, CMDB business attributes, etc., eliminating data silos. Performance 10x ClickHouse : SmartEncoding injects standardized and pre-encoded meta tags into all observability data, reducing storage overhead by 10x compared to ClickHouse String or LowCard method. Custom tags and observability data are stored separately, making tags available for almost unlimited dimensions and cardinalities with uncompromised query experience like BigTable . Documentation For more information, please visit the documentation website . Quick start There are three editions of DeepFlow: - DeepFlow Community: for developers - DeepFlow Enterprise: for organizations, solving team collaboration problems - DeepFlow Cloud: SaaS service, currently in beta The DeepFlow Community Edition consists of the core components of the Enterprise Edition. DeepFlow Community Please refer to the deployment documentation . At the same time, we have also built a complete DeepFlow Community Demo , welcome to experience it. Login account/password: deepflow/deepflow. DeepFlow Enterprise You can visit the DeepFlow Enterprise Demo , currently available in Chinese only. Compile DeepFlow from Source compile deepflow-agent Software Architecture DeepFlow Community Edition consists of two components, Agent and Server. An Agent runs in each K8s node, legacy host and cloud host, and is responsible for AutoMetrics and AutoTracing data collection of all application processes on the host. Server runs in a K8s cluster and provides Agent management, tag injection, data ingest and query services. Milestones Here is our future feature plan . Issues and Pull Requests are welcome. Contact Us Discord：Click here to join our discussion. Twitter： DeepFlow WeChat Group： Acknowledgments Thanks eBPF , a revolutionary Linux kernel technology. Thanks OpenTelemetry , provides vendor-neutral APIs to collect application telemetry data. Honors The paper Network-Centric Distributed Tracing with DeepFlow: Troubleshooting Your Microservices in Zero Code has been accepted by ACM SIGCOMM 2023. DeepFlow enriches the CNCF CLOUD NATIVE Landscape . DeepFlow enriches the CNCF CNAI (Cloud-Native AI) Landscape . DeepFlow enriches the eBPF Project Landscape .

:sparkles: Zero-code distributed tracing and profiling, observability via eBPF :rocket:

opentelemetry,kubernetes,wasm,apm,distributed-tracing,profiling,service-map,cuda,gpu,llm

openai/openai-quickstart-node

OpenAI API Quickstart - Node.js example app This is an example chat app intended to get you started with your first OpenAI API project. It uses the Chat Completions API to create a simple general purpose chat app with streaming. Basic request To send your first API request with the OpenAI Node SDK , make sure you have the right dependencies installed and then run the following code: ```python import OpenAI from "openai"; const openai = new OpenAI(); async function main() { const completion = await openai.chat.completions.create({ messages: [{ role: "system", content: "You are a helpful assistant." }], model: "gpt-3.5-turbo", }); console.log(completion.choices[0]); } main(); ``` This quickstart app builds on top of the example code above, with streaming and a UI to visualize messages. Setup If you don’t have Node.js installed, install it from nodejs.org (Node.js version >= 16.0.0 required) Clone this repository Navigate into the project directory bash $ cd openai-quickstart-node Install the requirements bash $ npm install Make a copy of the example environment variables file On Linux systems: bash $ cp .env.example .env On Windows: powershell $ copy .env.example .env 6. Add your API key to the newly created .env file Run the app bash $ npm run dev You should now be able to access the app at http://localhost:3000 ! For the full context behind this example app, check out the tutorial .

Node.js example app from the OpenAI API quickstart tutorial

openai,openai-api

mriscoc/Ender3V2S1

Professional Firmware for the Creality Ender 3 V2/S1 Printers Universal RET6/RCT6 Edition The Precompiled binary files of this firmware can work with STM32FX RET6 or RCT6 and can be downloader from: Latest Release Donations Thank you for your support, I receive donations through Patreon and Paypal Wiki About of this firmware and features How to install the firmware Getting started Saving preferences in Configuration Files Installing a 3D/BLTouch Color themes How to use with Octoprint Community links Telegram Reddit Facebook Youtube Credits This is a Marlin based firmware and is maintained by @mriscoc This work would not be possible without the supporters, helpers and betatesters at the Telegram group. Marlin firmware is an Open Source project hosted on Github, Marlin is owned and maintained by the maker community. Changelog For a list of changes made in each release, see the release notes. Disclaimer THIS FIRMWARE AND ALL OTHER FILES IN THE DOWNLOAD ARE PROVIDED FREE OF CHARGE WITH NO WARRANTY OR GUARANTEE. SUPPORT IS NOT INCLUDED JUST BECAUSE YOU DOWNLOADED THE FIRMWARE. WE ARE NOT LIABLE FOR ANY DAMAGE TO YOUR PRINTER, PERSON, OR ANY OTHER PROPERTY DUE TO USE OF THIS FIRMWARE. IF YOU DO NOT AGREE TO THESE TERMS THEN DO NOT USE THE FIRMWARE. LICENSE For the license, check the header of each file, if the license is not specified there, the project license will be used. Marlin is licensed under the GPL.

This is optimized firmware for Ender3 V2/S1 3D printers.

ender3v2,firmware,ender3s1

valence-rs/valence

Note: Valence is currently undergoing a major rewrite. See #620 for details. A Rust framework for building Minecraft: Java Edition servers. Built on top of Bevy ECS , Valence is an effort to create a Minecraft compatible server completely from scratch in Rust. You can think of Valence as a game engine for Minecraft servers . It doesn't do much by default, but by writing game logic yourself and leveraging Bevy's powerful plugin system , you can make almost anything. Opinionated features like dynamic scripting, dedicated executables, and vanilla game mechanics are all expected to be built as optional plugins. This level of modularity is desirable for those looking to build highly custom experiences in Minecraft such as minigame servers. ⚠️ Valence is still early in development with many features unimplemented or incomplete. Expect to encounter bugs, limitations, and breaking changes. Goals Valence aims to be the following: Complete . Abstractions for the full breadth of the Minecraft protocol. Flexible . Can easily extend Valence from within user code. Direct access to the Minecraft protocol is provided. Modular . Pick and choose the components you need. Intuitive . An API that is easy to use and difficult to misuse. Extensive documentation and examples are important. Efficient . Optimal use of system resources with multiple CPU cores in mind. Valence uses very little memory and can support thousands of players at the same time without lag (assuming you have the bandwidth). Up to date . Targets the most recent stable version of Minecraft. Support for multiple versions at once is not planned. However, you can use a proxy with ViaBackwards to achieve backwards compatibility with older clients. Current Status Here are some noteworthy achievements: - valence_nbt : A speedy new library for Minecraft's Named Binary Tag (NBT) format. - Authentication, encryption, and compression - Block states - Chunks - Entities and metadata - Bounding volume hierarchy for fast spatial entity queries - Player list and player skins - Dimensions, biomes, and worlds - JSON Text API - A Fabric mod for extracting data from the game into JSON files. These files are processed by a build script to generate Rust code for the project. The JSON files can be used in other projects as well. - Inventories - Items - Particles - Anvil file format (read only) - Proxy support ( Velocity , Bungeecord and Waterfall ) Here is a short video showing the examples and some of Valence's capabilities. Getting Started Running the Examples After cloning the repository, run this command to try an example. shell cargo r -r --example parkour I also recommend giving game_of_life , terrain , and cow_sphere a try. Next, open your Minecraft client and connect to the address localhost . If all goes well you should be playing on the server. Adding Valence as a Dependency Valence is published to crates.io . Run cargo add valence to add it to your project. However, the crates.io version is likely outdated. To use the most recent development version, add Valence as a git dependency . toml [dependencies] valence = { git = "https://github.com/valence-rs/valence" } Documentation from the main branch is available here . Contributing Contributions are welcome! Please see CONTRIBUTING.md . You can join Discord or GitHub Discussions to discuss the project and ask questions. License Code is licensed under MIT while the Valence logo is under CC BY-NC-ND 4.0 Funding If you would like to contribute financially, consider sponsoring me (rj00a) on GitHub or Patreon . I would love to continue working on Valence and your support would help me do that. Thanks!

A Rust framework for building Minecraft servers.

gamedev,minecraft,rust,server,hacktoberfest,ecs,game,bevy

jiangtian616/JHenTai

JHenTai English | 简体中文 | 한국어 Q&A Description A manga app for E-Hentai, supporting Android & iOS & Windows & MacOS & Linux. Still in development stage, welcome to submit issues or feature requests. Download & Install Download Install for Android: download .apk according to your device architecture and install. arm64-v8a：Suitable for Android phones with 8th generation ARM processor(common choice) armeabiv-v7a：Suitable for Android phones with 7th generation ARM processor x86_64：rare Install for iOS: download .ipa, then use AltStore or SideLoadly to sign. Install for Windows: download Windows_xxx.zip, then unpack it. If you use a proxy server, set proxy address at network setting page. If you're using Windows 11 and can't launch app, try to run jhentai.exe in compatibility mode. If it's blocked by Windows Defender, Please trust it. Install for MacOS(No maintenance): download .dmg. Trust it in system setting. If you use a proxy server, set proxy address at network setting page. Install for Linux(No maintenance): download Linux-amd64.deb or Linux-x86_64.AppImage due to your platform, then install or execute it. If you use a proxy server, set proxy address at network setting page. Update Update for Android: download .apk according to your device architecture and install. Update for iOS: download .ipa, then use AltStore or SideLoadly to sign. Update for Windows: Delete old unpacked directory directly, then download latest Windows_xxx.zip, unpack it. Update for MacOS(No maintenance): download .dmg. Update for Linux(No maintenance): Delete old and download the latest product. Help With Translation Please submit a PR if you want to help with translation. steps Develop Motivation My first project With Flutter. I aim at getting familiar with Flutter during development. Devices I use include Android phone, Ipad and Windows computer. E-hentai apps I used before have several bugs, and I don't understand source code because I have no development experience with Android or ios, so I choose JHenTai to become my first Flutter Project. 2022.08.20 After five months of development, JHenTai has gradually become more and more strong, and I have completely refactored some codes for gallery page, reading page, download, etc. which are written at the beginning stage. I tried my best to extract the commonality between different page and style to reduce coupling, in order to benefit the development of new features. I would be very grateful if any kind of you could give me some advice on coding style, design patterns and anything related to Flutter development or participate in the development of JHenTai. 2022.10.29 I have been more familiar with basic Flutter development, and I'll focus on another area from now on. So updates for JHenTai will be less than previous, but I'll still handle bugs or issues in time。 References & Thanks Layout and style references: FEhviewer : Mainly EHPanda EHViewer Tag translation: EhTagTranslation Tag order optimization: e-hentai-db e-hentai-tag-count App translation： andyching168 繁體中文(台灣) lucas-04 Português brasileiro qlife1146 한국어 mush thanks to these projects and people🙇‍ Screenshots Mobile Layout Tablet Layout Desktop Layout Gallery & Search Gallery Detail Setting & Download Read Main Features [x] Mobile, tablet, desktop layout(3 kinds) [x] Vertical, horizontal, double column read page layout(4 kinds) [x] GalleryPage, Popular, Favorite, Watched, History, support multiple gallery list style [x] search, search suggestion, tap tag to search, file search, jump to a certain page [x] online reading and download, support restore download task, support synchronize updates after the uploader has uploaded a new version [x] archive download and automatic unpacking and reading [x] support loading local images and read [x] support assign priority to download task manually [x] support assign group to gallery and archive [x] favorite, rating, torrent, archive, statistics, share [x] password login, Cookie login, web login [x] support EX site(domain fronting optional) [x] vote for Tag, watch and hidden tags [x] comment, vote for comment [x] Fingerprint unlock [x] Support shortcut keys like 'Tab' and 'Arrow keys' in desktop layout Translation languageCode countryCode Copy /lib/src/l18n/en_US.dart and rename to {your_languageCode}_{your_countryCode}.dart Rename classname in new file(optional) Modify k-v pairs in method keys ,translate values to your language Now you can submit your PR, I'll do the remaining things. Or you can go on with: Enter /lib/src/l18n/locale_text.dart , add a new k-v pair in method keys => {your_languageCode}_{your_countryCode} : {your_className}.keys() Enter /lib/src/consts/locale_consts.dart , add a new k-v pair in property localeCode2Description : {your_languageCode}_{your_countryCode} : {languageDescription} to describe your language. About compiling You need to manage your Android signing by yourself, check https://docs.flutter.dev/deployment/android#signing-the-app Just run this project via IDEA or VSCode simply. Main Dart Dependencies get : dependency management, state management, l18n, NoSQL dio : network extendedImage : image drift : database

A cross-platform manga app made for e-hentai & exhentai by Flutter

e-hentai,exhentai,ehviewer,flutter,hentai,manga,ehentai,ehtagtranslation

AndrewStetsenko/tech-jobs-with-relocation

International Tech Job Search Handbook Relocation to a foreign country for work can be very exciting and lead to unique opportunities that couldn't be accessed in your home country. At the same time, it's a real challenge - I know it firsthand. Your mind becomes inundated with questions: How to prepare a resume? Where to find companies that hire foreign talent? What relocation assistance is typically provided? How to get a work visa? And the list goes on! Hopefully, this handbook will give you the necessary guidance. Topics covered include resume preparation, job search, salary negotiation, relocation packages, and more. 📝 Resume preparation A well-written and concise resume is an essential ingredient of a successful job hunt. Here's a list of articles, resources & tools to help you: Ways to upgrade that should lead to getting more job interviews How to write an effective developer resume: Advice from a hiring manager 🎥 The resume that got me into Google and Bloomberg (software engineer resume tips) How to improve your developer resume's bullet points 🔨 Resume Worded for instant resume feedback 🔨 FlowCV for resume templates 🔨 AI resume builder Rezi 🔨 Standard Resume : A modern web app for creating a beautiful resume quickly. The application takes care of the design and layout of your resume, allowing you to focus on the content. 🔨 EnhanCV resume builder 👀 Job search (useful reads) Effective search tactics for developer jobs Reasons why you're not hearing back about jobs 7 basic mistakes that'll slow down any job search - and how to fix them all today The best day and time to apply for a job online When (and when not) to include a cover letter How to write a cover letter as a software developer (cover letter included) How Boolean searching can help your international job hunt 🔖 Niche job boards that have a filter for relocation Relocate.me : The site is built around and focused entirely on tech jobs that offer relocation. Wellfound (formerly AngelList) : If you go to the Filters tab, you will find a section named "Immigration + Network." There is an option to "only show companies that can sponsor a visa." Tick the box. Landing.Jobs : The main country that they feature is Portugal, but you can find tech jobs in other parts of Europe as well. When searching for jobs, make sure to select the gilter for "Visa & work permit." SwissDevJobs : For those looking to move to Switzerland, SwissDev Jobs is a great place to turn. The website allows you to easily locate developer jobs anywhere in Switzerland. In order to filter it to only jobs with relocation, you simply need to check the filter box for "Visa sponsorship for non-EU residents." TokyoDev : The site is dedicated to helping international developers start and grow their career in Japan. Among other things, you will find a list of job offerings from local employers that are open to hiring foreign, English-speaking techies. Japan Dev : A hand-curated job board for tech roles in Japan. Arbeitnow : Europe-based positions with relocation assistance/visa sponsorship & salary info. 🔖 Other places to check during the search "Who's hiring?" monthly thread on Hacker News (search for job offerings with the keyword “visa”) @Relocateme Telegram channel with daily actual job alerts Australian companies providing work visa sponsorship Big list of local job boards LinkedIn : When searching, you should add "relocation," "visa support," or "visa sponsorship" into the keywords tab, and select the city/country/region that's your choice for relocation. Here's an example . Note: You can apply the same approach - typing "relocation" followed by your target job title in the search bar - to other sites (e.g., Indeed or Glassdoor) that, like LinkedIn, have no filter for relocation. Of course, you will find some jobs that don't offer relocation or are not quite what you are looking for, but overall using relevant keywords does a good job at filtering them out. 🔖 International recruitment agencies Agile Search . Matches developers from all over the world with the best job opportunities and companies in the Nordics. Global {M} – jobs with European tech companies Global Skills Hub – remote and relocation jobs with Canada's top tech companies Nederlia – tech & product roles at starups and scaleups in Europe Ravecruitment – IT jobs in the Netherlands Relocateme.eu – software engineer jobs with European startups and well-established tech companies Toughbyte – dev job opportunities in EU countries Zero to One Search – IT jobs in Germany 🏢 Companies hiring internationally | Company name | Location(s) | Careers page | |-------|--------------|---------------| | ARHS Group | Luxembourg 🇱🇺 | https://www.arhs-group.com/careers | | Akur8 | Paris 🇫🇷 | https://akur8.com/careers | | Applike Group | Hamburg 🇩🇪 | https://applike-group.com/jobs | | BandLab | Singapore 🇸🇬 | https://apply.workable.com/bandlabtechnologies | | BlaBlaCar | Paris 🇫🇷 | https://blog.blablacar.com/dreamjobs | | Blinkist | Berlin 🇩🇪 | https://www.blinkist.com/en/jobs | | Bol.com | Utrecht 🇳🇱 | https://careers.bol.com/en/jobs | | Byborg Enterprises | Luxembourg 🇱🇺 Budapest 🇭🇺 | https://careers.smartrecruiters.com/DoclerHolding | | Catawiki | Amsterdam 🇳🇱 Lisbon 🇵🇹 | https://catawiki.careers/vacancies | | CloudLinux | Remote 🌍 | https://www.cloudlinux.com/about-us-company-jobs | | Coolblue | Rotterdam 🇳🇱 | https://www.careersatcoolblue.com | | Creative Fabrica | Amsterdam 🇳🇱 | https://boards.eu.greenhouse.io/creativefabrica | | Cube Dev | San Francisco 🇺🇸 | https://cube.dev/careers | | e-bot7 | Munich 🇩🇪 | https://e-bot7.com/careers | | Elements | Almere 🇳🇱 | https://www.elements.nl/en/careers | | ePages | Hamburg 🇩🇪 | https://epages.com/en/career | | EPAM | United States 🇺🇸 | https://www.epam.com/careers/job-listings | | EVBox | Amsterdam 🇳🇱 | https://evbox.com/en/about/careers | | Exness | Limassol 🇨🇾 | https://exness.bamboohr.com/jobs | | FINN | Munich 🇩🇪 | https://www.finn.auto/careers | | Flow Traders | Amsterdam 🇳🇱 Hong Kong 🇭🇰 | https://www.flowtraders.com/careers | | foodspring | Berlin 🇩🇪 | https://www.researchgate.net/careers | | GeoPhy | The Hague 🇳🇱 | https://geophy.com/careers | | Gnosis | Berlin 🇩🇪 | https://gnosis.io/careers | | Greentube | Vienna 🇦🇹 | https://www.greentube.com/careers | | HENNGE | Tokyo 🇯🇵 | https://recruit.hennge.com/en/mid-career | | Highsnobiety | Berlin 🇩🇪 | https://company.highsnobiety.com/jobs | | HomeToGo | Berlin 🇩🇪 Lithuania (Kaunas, Vilnius) 🇱🇹| https://www.hometogo.com/careers | | HousingAnywhere | Rotterdam 🇳🇱 | https://careers.housinganywhere.com | | Intropic | London 🇬🇧 | https://jobs.lever.co/intropic | | JOIN | Berlin 🇩🇪 | https://join.com/companies/join | | Journi | Vienna 🇦🇹 | https://www.journiapp.com/careers | | Jumbo | Veghel 🇳🇱 | https://jobs.jumbo.com/en/tech | | Just Eat Takeaway.com | Amsterdam 🇳🇱 London 🇬🇧 | https://careers.justeattakeaway.com/global/en | | Lemonade | Amsterdam 🇳🇱 | https://makers.lemonade.com | | Lightspeed | Auckland 🇳🇿 | https://boards.greenhouse.io/lightspeedhq | | LINE Fukuoka | Fukuoka 🇯🇵 | https://linefukuoka.co.jp/en/career/engineer | | LOOP | Austria (Salzburg, Vienna) 🇦🇹 | https://www.agentur-loop.com/careers | | Manychat | Barcelona 🇪🇸 Yerevan 🇦🇲 | https://careers.manychat.com/#vacancies | | Mercari | Tokyo 🇯🇵 | https://careers.mercari.com | | Mollie | Amsterdam 🇳🇱 Lisbon 🇵🇹 | https://jobs.mollie.com | | Monzo | London 🇬🇧 | https://monzo.com/careers | | movingimage | Berlin 🇩🇪 | https://www.movingimage.com/careers/#jobs | | Mujin | Tokyo 🇯🇵 | https://jobs.lever.co/mujininc | | Multiverse Computing | San Sebastian 🇪🇸 | https://multiversecomputing.com/join-us | | NavVis | Munich 🇩🇪 | https://www.navvis.com/company/careers | | Neocom | Munich 🇩🇪 | https://www.neocom.ai/careers#section-job-openings | | Oda | Berlin 🇩🇪 Oslo 🇳🇴 | https://careers.oda.com/jobs | | OJ Electronics | Sønderborg 🇩🇰 | https://ojelectronics.com/career | | Optum | Ireland (Dublin, Letterkenny) 🇮🇪 | https://careers.unitedhealthgroup.com/optum-ireland | | Oxbotica | Oxford 🇬🇧 | https://www.oxbotica.com/our-people | | PayPay | Tokyo 🇯🇵 | https://boards.greenhouse.io/paypay | | PhotoRoom | Paris 🇫🇷 | https://jobs.lever.co/photoroom | | Picnic | Amsterdam 🇳🇱 | https://picnic.app/careers/all-jobs | | QuadSAT | Odense 🇩🇰 | https://quadsat.com/career | | Queue-it | Copenhagen 🇩🇰 | https://careers.queue-it.com/jobs | | Reaktor | Amsterdam 🇳🇱 Lisbon 🇵🇹 | https://www.reaktor.com/careers | | Runtastic | Austria 🇦🇹 | https://www.runtastic.com/career/jobs | | Scout24 | Berlin 🇩🇪 | http://jobs.scout24.com | | Seldon | UK (London, Cambridge) 🇬🇧 | https://www.seldon.io/careers | | Shape | Copenhagen 🇩🇰 | https://shape.dk/careers | | Shape Games | Copenhagen 🇩🇰 | https://careers.shapegames.com/jobs | | SimScale | Munich 🇩🇪 | https://www.simscale.com/jobs | | Smallpdf | Zurich 🇨🇭 | https://smallpdf.com/careers | | Smartly.io | Helsinki 🇫🇮 | https://www.smartly.io/careers | | SmartNews | Tokyo 🇯🇵 | https://apply.workable.com/smartnews | | Solsten | Berlin 🇩🇪 | https://boards.greenhouse.io/solsten | | Solvians | Germany (Berlin, Frankfurt, Göttingen) 🇩🇪 | https://www.solvians.com/career | | SoundCloud | Berlin 🇩🇪 United States (LA, NYC) 🇺🇸 | https://careers.soundcloud.com | | Stream | Amsterdam 🇳🇱 | https://boards.greenhouse.io/stream | | Sumo Digital | United Kingdom 🇬🇧 | https://www.sumo-digital.com/careers | | Swisscom | Rotterdam 🇳🇱 | https://swisscom.bamboohr.com/jobs | | Tactile Games | Copenhagen 🇩🇰 | https://tactilegames.com/careers | | Talkwalker | Luxembourg 🇱🇺 | https://www.talkwalker.com/careers | | The LEGO Group | Denmark (Billund, Copenhagen) 🇩🇰 | https://www.lego.com/da-dk/careers/search | | Tractable | London 🇬🇧 Tokyo 🇯🇵 | https://tractable.ai/careers | | TuSimple | United States 🇺🇸 | https://www.tusimple.com/careers | | Uphold | Portugal (Porto, Braga) 🇵🇹 | https://uphold.com/careers | | Vimcar | Berlin 🇩🇪 | https://careers.vimcar.com/en | | Volkswagen Digital Solutions | Lisbon 🇵🇹 | https://www.vwds.pt/careers | | Wallapop | Barcelona 🇪🇸 | https://boards.eu.greenhouse.io/wallapop | | Wayve | London 🇬🇧 | https://wayve.ai/join-us | | WiseTech Global | Sydney 🇦🇺 | https://www.wisetechglobal.com/join-us/current-openings | | Wise | London 🇬🇧 | https://www.wise.jobs/search/?t=engineering&o=&sort=newest | | WorldQuant | Yerevan 🇦🇲 Budapest 🇭🇺 | https://www.worldquant.com/career-listing | | Xeneta | Oslo 🇳🇴 | https://xeneta.pinpointhq.com | | Xovis | Switzerland (Zollikofen, Zurich) 🇨🇭 | https://www.xovis.com/careers | | Zenly | Paris 🇫🇷 | https://zen.ly/jobs | | Ziegert Group | Berlin 🇩🇪 | https://ziegert-group.com/en/careers | | Zivid | Oslo 🇳🇴 | https://www.zivid.com/career-join-zivid | | Zound Industries | Stockholm 🇸🇪 | https://ziegert-group.com/en/careers | 🗣️ Job interviews Screening interview tips How to prepare for a technical interview Tech interview handbook : Free curated interview preparation materials for busy engineers. The best responses to “Are you willing to relocate?” with examples 🎥 How to prepare for behavioral interviews 🔨 interviewing.io : Anonymous technical mock interviews with engineers from Google, Facebook, and other top companies. 🔨 LeetCode : A great place to practice solving coding problems and prepare for technical interviews. 🔨 Meet a Pro : An Airbnb-style mock interview platform. Get feedbacks from top FAANG interviewers. 💰 Compensation negotiation Considerations to make when negotiating your salary abroad TechPays : a tech salary comparison site focused on Europe 🎥 5 mistakes you are making in negotiating your developer salary Typical relocation packages Relocation package examples How to negotiate a relocation package 🔨 Calculators to estimate your after-taxes paycheck in 25 countries 🔨 German income tax calculator 🗺 Work permits & visas 🌍 Info on work permits & visas for different countries 🌍 The ultimate guide to work permits across Europe 🇪🇺 The best European countries for easy work visas 🇪🇺 EU Blue Card (essential information) 🇳🇱 Recognised sponsors of a Dutch Highly Skilled Migrant residence permit 🇬🇧 Everything you need to know about the UK Skilled Worker visa 🇬🇧 Licensed UK Skilled Worker visa sponsors 🇺🇸 Database of H1B visa sponsors 🇸🇬 An overview of Singapore immigration visa schemes 🇦🇺 How to Migrate to Australia as a Software Engineer 🔨 Visadb.io to browse visas worldwide ✈️ Relocation How to decide whether to relocate for a job Tips for successful job relocation 🇳🇱 Moving to the Netherlands for a tech job Everything you need to know before moving to Berlin How to move to Berlin, step by step 🇨🇦 How to relocate to Canada 🇪🇸 How to relocate to Spain 🇯🇵 How to move to Japan from the United States 🇸🇮 Moving to Slovenia for a tech job 🏘️ Finding housing : A collection of resources that will help you find housing in many countries, along with some basic info that you will need to know about the housing market in these places. Relocation companies that can help make your move abroad as smooth as possible 💬 Expat stories Germany 🇩🇪 → Zurich, Switzerland 🇨🇭 Ukraine 🇺🇦 → Tallinn, Estonia 🇪🇪 Iran 🇮🇷 → London, UK 🇬🇧 India 🇮🇳 → Tokyo, Japan 🇯🇵 Lebanon 🇱🇧 → Milan, Italy 🇮🇹 Brazil 🇧🇷 → Lisbon, Portugal 🇵🇹

All-in-one guide to getting a tech job abroad 🌎

jobsearch,relocate,relocation,abroad,overseas,job-search,hiring

kailong321200875/vue-element-plus-admin

[](LICENSE) [](repo-size) [](last-commit) [](stars) [](forks) [](release) [](watchers) vue-element-plus-admin English | 中文 Introduction vue-element-plus-admin is a free and open source middle and background template based on element-plus . Developed using the latest mainstream technologies such as vue3 , vite and typescript , the out of the box middle and background front-end solution can be used as the starting template of the project and learning reference. And always pay attention to the latest technological trends and update them as soon as possible. vue-element-plus-admin is positioned as a background integration scheme, which is not suitable for secondary development as a basic template. Because it integrates many functions that you may not use, it will cause a lot of code redundancy. If your project doesn't pay attention to this problem, you can also directly carry out secondary development based on it. If you need a basic template, please switch to the mini branch. mini simply integrates some common layout functions such as layout and dynamic menu, which is more suitable for developers to carry out secondary development. Feature State of The Art Development ：Use front-end front-end technology development such as Vue3/vite4 TypeScript : Application-level JavaScript language Theming : Configurable themes International ：Built-in complete internationalization program Mock Server Built-in mock data scheme Authority Built-in complete dynamic routing permission generation scheme. Component Multiple commonly used components are encapsulated twice Examples Built-in rich examples Preview vue-element-plus-admin - Full version of the github site vue-element-plus-admin - Full version of the gitee site account: admin/admin Online examples do not apply to menu filtering by default, but directly use Static routing Documentation Document Github Document Gitee Preparation node and git - Project development environment Vite - Familiar with vite features Vue3 - Familiar with Vue basic syntax TypeScript - Familiar with the basic syntax of TypeScript Es6+ - Familiar with es6 basic syntax Vue-Router-Next - Familiar with the basic use of vue-router Element-Plus - Familiar with the basic use of element-plus Mock.js - mockjs basic syntax Install and use Get the project code bash git clone https://github.com/kailong321200875/vue-element-plus-admin.git Installation dependencies ```bash cd vue-element-plus-admin pnpm install ``` run bash pnpm run dev build bash pnpm run build:pro Change Log CHANGELOG How to contribute You can Raise an issue Or submit a Pull Request. Pull Request: Fork code Create your own branch: git checkout -b feat/xxxx Submit your changes: git commit -am 'feat(function): add xxxxx' Push your branch: git push origin feat/xxxx submit pull request Git Contribution submission specification feat New features fix Fix bugs docs document style Format and style (changes that do not affect code operation) refactor Refactor perf Optimize related, such as improving performance and experience test Add test build Compilation related modifications, changes to project construction or dependencies ci Continuous integration modification chore Changes in the construction process or auxiliary tools revert Rollback to previous version workflow Workflow improvement mod Uncertain modification classification wip Under development types type Browser support The Chrome 80+ browser is recommended for local development Support modern browsers, not IE | IE | Edge | Firefox | Chrome | Safari | | :-: | :-: | :-: | :-: | :-: | | not support | last 2 versions | last 2 versions | last 2 versions | last 2 versions | Donate If you find this project helpful, welcome sponsorship to show your support~ Paypal Me Group If you want to join the technical communication group for discussion, please scan the code to join the group or add me as a friend Group QR code My QR code License MIT

A backend management system based on vue3, typescript, element-plus, and vite

vite,vuejs,typescript,element-plus,admin-template,pinia,vue-router,tsx

kognise/arpchat

arpchat so... you know arp? the protocol your computer uses to find the mac addresses of other computers on your network? yeah. that. i thought it would be a great idea to hijack it to make a chat app :) built in two days because i was sick and had nothing better to do. motivation once a year, i'm on a client isolated network that i want to chat with friends over i'm completely insane i'm a programmer (i swear, i might actually briefly have a use for this! it might not be entirely useless! ... and other lies i tell myself) limitations yes things i made arpchat do you can send messages tens of thousands of characters long because i implemented a (naive) generalizable transport protocol on top of arp. there's also a bit of compression. if you wanted, you could probably split off the networking part of this and use it instead of udp. please don't do this. not only are join and leave notifications a thing, i built an entire presence discovery and heartbeat system to see an updated list of other online users. ironically, part of this serves a similar purpose to arp itself. for more information on how this all works technically, check out the little article i wrote . running if you actually want to install this for some reason, you can get it from the releases page . on windows, you probably need npcap . make sure you check "Install Npcap in WinPcap API-compatible Mode" in the installer! on linux, you might have to give arpchat network privileges: sh sudo setcap CAP_NET_RAW+ep /path/to/arpchat then just run the binary in a terminal. you know it's working properly if you can see your own messages when you send them. if you can't see your messages, try selecting a different interface or protocol! have any issues? that really sucks. you can make an issue if it pleases you. building you don't really want to build this. anyway, it's tested on the latest unstable rust. on windows, download the WinPcap Developer's Pack and set the LIB environment variable to the WpdPack/Lib/x64/ folder. sh cargo build

Answering the question nobody asked: what if you wanted to text your friends using only ARP?

arp,chat

Lakr233/Rayon

Rayon A server monitor tool for linux based machines using remote proc file system with script execution. Available for macOS 12+ & iOS 15+. The project has completed my requirements without serious defects and is now archived. If there are minor issues, please consider fixing them yourself. If there are serious problems, please consider writing me an email. (I do fix them) The App Store Package is now sold to 3rd developer because our Developer Program has expired. It does NOT keep relation to this repository anymore. Preview Features [x] free and open source [x] libssh2 capable host connections [x] Linux proc file system status information [x] authenticate with password, key, etc... [x] terminal with xterm support [x] Port Forward support [x] code snippet with batch execution [x] Nvidia GPU status monitor [x] Running cat for macOS app License MIT License - Lakr's Edition Contributor Made with love by @Lakr233 along with his friends @__oquery @zlind0 @unixzii @82flex @xnth97 @misakicoca @NyaaLyn Copyright © 2022 Lakr Aream. All Rights Reserved.

yet another SSH machine manager

[]

fern-api/fern

[](https://www.ycombinator.com/companies/fern)  [](https://discord.com/invite/JkkXumPzcG) [](https://buildwithfern.com/learn/home?utm_source=fern-api/fern/readme-read-our-documentation) Fern is a toolkit that allows you to input your API Definition and output SDKs and API documentation. Fern is compatible with the OpenAPI specification (formerly Swagger). 🌿 SDKs The Fern toolkit is available via a command line interface (CLI) and requires Node 18+. To install it, run: bash npm install -g fern-api Initialize Fern with your OpenAPI spec: ```bash fern init --openapi ./path/to/openapi.yml or fern init --openapi https://link.buildwithfern.com/petstore-openapi ``` Your directory should look like the following: yaml fern/ ├─ fern.config.json ├─ generators.yml # generators you're using └─ openapi/ └─ openapi.json # your openapi document Finally, to invoke the generator, run: bash fern generate 🎉 Once the command completes, you'll see your SDK in /generated/sdks/typescript . 🌿 API Documentation Fern can also build and host a documentation website with an auto-generated API reference. Write additional pages in markdown and have them versioned with git. Search, SEO, dark mode, and popular components are provided out-of-the-box. Plus, you can customize the colors, font, logo, and domain name. Check out docs built with Fern: docs.vellum.ai docs.superagent.sh docs.hume.ai Get started here . 🌿 Generators Generators are process that take your API Definition as input and output artifacts (SDKs, Postman Collections, Server boilerplate, etc.). To add a generator run fern add <generator id> SDK Generators | Generator ID | Latest Version | Changelog | Entrypoint | | -------------------------------------- | -------------- | ------------------------------------------------------------ | ------------------------------------------------------------------------------- | | fernapi/fern-typescript-node-sdk | | CHANGELOG.md | cli.ts | | fernapi/fern-python-sdk | | CHANGELOG.md | cli.py | | fernapi/fern-java-sdk | | CHANGELOG.md | Cli.java | | fernapi/fern-ruby-sdk | | CHANGELOG.md | cli.ts | | fernapi/fern-go-sdk | | CHANGELOG.md | main.go | | fernapi/fern-csharp-sdk | | CHANGELOG.md | cli.ts | Server-side Generators Fern's server-side generators output boilerplate application code (models and networking logic). This is intended for spec-first or API-first developers, who write their API definition (as an OpenAPI spec or Fern definition) and want to generate backend code. Watch a demo here . | Generator ID | Latest Version | Changelog | Entrypoint | | ----------------------------- | -------------- | ------------------------------------------------------------ | -------------------------------------------------------------------------------- | | fernapi/fern-typescript-express | | CHANGELOG.md | cli.ts | | fernapi/fern-fastapi-server | | CHANGELOG.md | cli.py | | fernapi/fern-java-spring | | CHANGELOG.md | Cli.java | Model Generators Fern's model generators will output schemas or types defined in your OpenAPI spec or Fern Definition. | Generator ID | Latest Version | Changelog | Entrypoint | | ----------------------------- | -------------- | --------------------------------------------------------- | ----------------------------------------------------------------------------- | | fernapi/fern-pydantic-model | | CHANGELOG.md | cli.py | | fernapi/java-model | | CHANGELOG.md | Cli.java | | fernapi/fern-ruby-model | | CHANGELOG.md | cli.ts | Spec Generators Fern's spec generators can output an OpenAPI spec or a Postman collection. Note : The OpenAPI spec generator is primarly intended for Fern Definition users. This prevents lock-in so that one can always export to OpenAPI. | Generator ID | Latest Version | Changelog | Entrypoint | | ---------------------- | -------------- | ------------------------------------------------- | ------------------------------------------ | | fernapi/fern-openapi | | CHANGELOG.md | cli.ts | | fernapi/fern-postman | | CHANGELOG.md | cli.ts | 🌿 CLI Commands Here's a quick look at the most popular CLI commands. View the documentation for all CLI commands . fern init : adds a new starter API to your repository. fern check : validate your API definition and Fern configuration. fern generate : run the generators specified in generators.yml in the cloud. fern generate --local : run the generators specified in generators.yml in docker locally. fern add <generator> : include a new generator in your generators.yml . For example, fern add fern-python-sdk . Advanced API First Fern supports developers and teams that want to be API-first or Spec-first. Define your API, and use Fern to generate models, networking code and boilerplate application code. The generated code adds type safety to your API implementation - if your backend doesn't implement the API correctly, it won't compile. Frameworks currently supported: Express Spring Boot FastAPI For a walkthrough, check out the Fern + Express video . Fern Definition While we are big fans of OpenAPI, we know it isn't the easiest format to read and write. If you're looking for an alternative, give the Fern Definition a try. Install the Fern CLI and initialize a Fern Project. bash npm install -g fern-api fern init This will create the following folder structure in your project: yaml fern/ ├─ fern.config.json # root-level configuration ├─ generators.yml # generators you're using └─ definition/ ├─ api.yml # API-level configuration └─ imdb.yml # endpoints, types, and errors Here's what the imdb.yml starter file looks like: ```yaml types: MovieId: string Movie: properties: id: MovieId title: string rating: type: double docs: The rating scale is one to five stars CreateMovieRequest: properties: title: string rating: double service: auth: false base-path: /movies endpoints: createMovie: docs: Add a movie to the database method: POST path: /create-movie request: CreateMovieRequest response: MovieId getMovie: method: GET path: /{movieId} path-parameters: movieId: MovieId response: Movie errors: - MovieDoesNotExistError errors: MovieDoesNotExistError: status-code: 404 type: MovieId ``` Checkout open source projects that are using Fern Definitions: Metriport Rivet Revert Community Join our Discord! We are here to answer questions and help you get the most out of Fern. Contributing We welcome community contributions. For guidelines, refer to our CONTRIBUTING.md .

Input OpenAPI. Output SDKs and Docs.

sdk-generator,openapi,docs-generator,swagger

aljazceru/awesome-nostr

nostr.net services relay.nostr.net || nostr.at || broadcaster.nostr.net "nostr" stands for " N otes and O ther S tuff T ransmitted by R elays" and is an open protocol for censorship-resistant global networks. Most popular Mobile clients Damus - The OG nostr client for iOS Plebstr - Android and iOS app Amethyst - Android only app Primal - iOS and Android apps. YakiHonne - iOS and Android app Web clients snort.social iris.to primal.net coracle.social Protocol NIPs - the " N ostr I mplementation P ossibilities" describe the protocol in technical detail nostr address book - A directory of twitter users accounts and their NOSTR addresses nostr, a basic tour - an intro to nostr Nostr: Solucionando la censura de una vez por todas nostr.guide - A guide to all things nostr nostr.how - A comprehensive non-technical beginners guide to Nostr. Available in several languages. nostr - overview and FAQ tinkering with nostr without any client UseNostr - A small guide for anyone who wants to learn more about how nostr works and what it can do. Relays Relays are (so far) application agnostic. You can run your own or use any or all of the public instances. Implementations Astro - Elixir based implementation built to be performant and highly distributed. Bostr - Nostr bouncer nodejs relay Bucket - in-memory-only nodejs relay for testing/hacking on. Stupid simple, <100 LOC. cagliostr - Faster Nostr relay in C++ backend by sqlite3. Denostr - Deno based, cloud native nostr implemention. Ephemerelay - An in-memory Nostr relay that doesn't store data. gnost-relay - nostr relay written in go backed by postgresql database. knostr - a nostr relay implemented in Kotlin with support for Postgres and metrics(micrometer). mapstr - Find local businesses which accept BTC and add reviews to those businesses as a customer. Allows ability to receive Zaps for your reviews. You can also add Nostr notes with coordinates which allows them to be mapped to your location. me.untethr.nostr-relay - a relay written in Clojure Minds Nostr Relay - a relay for Minds , an open-source social network Minds Engine - Nostr - relevant Minds API code for reading/writing Minds posts using Nostr monstr - python code for working with nostr multiplextr - A custom relay designed to save bandwidth for clients with multiplextr support. Nex - A powerful and scalable Nostr relay written in Elixir with Postgres DB. NNostr - a C# relay nostr_relay - a nostr relay written in python, backed by SQLite nostr-filter-relay - A nostr relay docker image package which filter content based on content type (SFW/NSFW), user type, language, hate speech (toxic comment), and various rules. nostr-relay - Nostr relay in Go based on relayer. Backend by sqlite3/postgresql/mysql. SuperConductor - Java Nostr-Relay Framework & Web Application. Java 20, Spring WebSocketSession 3.2.2, Spring Boot 3.2.4, atop nostr-java library . Simple. Clean. OO. nostr-relay-nestjs - A Nostr relay with a clear architecture and high test coverage (PostgreSQL, MeiliSearch, NestJS) nostr-rs-relay - a minimalistic relay written in Rust that saves data on SQLite nostream - a nostr relay written in Typescript backed by PostgreSQL (renamed from nostr-ts-relay) nostring - A Nostr relay written in Deno. NostrPostr Relay - a Kotlin Relay supporting both SQLite and Postgresql Nostpy - An easy to deploy/audit Python relay for beginner relay operators nostrpy - relay, client, and other tooling in python (No longer being developed.) PyRelay - a python implementation of a nostr relay, using asyncio. QNostr - A Nostr protocol implementation for clients as a Qt Module in C++ Relayer Basic - a simple relay based on relayer backed by Postgres rnostr - A high-performance and scalable nostr relay written in Rust. Servus - A self-contained, single executable, CMS / blogging engine reminiscent of Jekyll which also acts as a personal Nostr relay for your blog posts. Written in Rust. søstr - a private nostr relay written in rust, saves all notes from one pubkey and publish them to anyone that requests them sovereign-stack - a tool that helps you deploy nostr relays and create self-hosted (bitcoin-only) Value4Value websites. strfry - C++ implementation backed by LMDB with efficient syncing of events using merkle trees Notra - F# implementation backed by SQLite database. Nerostr - A Nostr expensive relay paid with Monero and written in Go Nostr client and relay - C++ engine that allows to build Nostr applications for command line, desktop or web. Nosflare - a serverless Nostr relay purpose-built for Cloudflare Workers and the Cloudflare KV store. Relay lists Websites with lists of relays and their performance/health: - relay.nostr.net - relay run by nostr.net - nostr.info - real-time checking of status of some known relays - nostr.watch - real-time checking of status of some known relays - relays.xport.top - relays list sortable by ping, activity etc Clients algia-web - A small resource consumption oriented Nostr web client Agora - Follow your favorite topics in the Nostr-verse (and even posts from Mastodon, Reddit, Bluesky, and Twitter) algia - A cli application for nostr. Amethyst - An Android client for nostr written in Kotlin ArcadeCity - Public group chats and P2P services (WIP) over nostr Astral - a branle fork with global feed and UI makeover Astral on TOR astral.ninja client.nostr.guide Attached - Open-Source ReactNative Expo app for Nostr (iOS, Android). Currently under app stores review Beagle - Decentralized realtime Text/Audo/Video chat client for iOS, using nostr relays for users to share information and moments by posts of text, image and video. Bija - A desktop client written in python. Currently Linux only BlazeJump - A fast web client boilerplate written in C# / Blazor, that uses an in-browser SQLite database. Blockcore Notes - Progressive Web App that can be installed on mobile and desktop, organize following in circles and have both public and private following lists. Dynamic interface for different uses, such as optimized for photograph viewing notes.blockcore.net blogstack.io - Blogging site for nostr, supports markdown Blowater - A desktop Web client focusing on chat with delightful UX bolt.fun - A bitcoin lightning makers community that supports reading and creating comments using Nostr Coracle - A nostr web client Coracle Chat - A standalone port of Coracle's old chat functionality Coracle DMs - A standalone port of Coracle's old DM functionality Corny Chat - Corny Chat is an open source audio space built on Jam that integrates Nostr and Lightning. cornychat.com Daisy - Mobile client for Android and iOS testflight + android builds damus - a twitter-like nostr client for iOS and MacOS damus on testflight damus on Mac app store danmakustr - a chrome extension allowing users to send special comments (弹幕, danmaku) on YouTube and display them above the video. Denny - Secure, private, and decentralized group chat messaging client on Nostr Disgus - A comment widget like Disqus, but for Nostr. dispute - A cross-platform (Linux, Android, iOS, MacOs, Windows and Web) client for NOSTR Docstr - Collaborative Documents (Google Docs Alternative) docstr.app - live instance earthly - A social geojson editor with maps on Nostr electron-nostr - A bare-bones desktop nostr client using electron-react-boilerplate. Goal is to be an easy template for people to experiment with different ideas on decentralized ratings, reputation, and web of trust emon - Encrypted DMs over nostr with lightning payments integrated (WIP). emon.chat Flycat - A 2000s old-school style web client which support blogging on Nostr Formstr - A Google Forms alternative built on top of the nostr protocol. formstr.app - live instance futr - nostr client desktop app written in Haskell gitstr - Send and receive git patches over Nostr, using NIP-34 . gnost-deflate-client - CLI nostr client written in go implementing permessage-deflate websocket compression. gossip - A desktop client in rust presented with egui get-tao.app Anonymous-first client with PoW notes iris - A nostr web client iris.to - live instance Android app Jester - Chess over nostr Jester instance JiYou - A nostr PWA client with a highly customizable UI JiYou.social - live instance Lightning.Pub - A nostr daemon for Lightning nodes Listr - Curate, organize, and discover everything Nostr has to offer. Listr is the best way to create, manage, and browse Nostr lists. loquaz - a desktop app written in Rust for direct encrypted chat Member - Progressive Web App Client. Works on desktop and mobile. member.cash - live instance Memestr - The Nostr hub for memes. MeShell - Web, iOS and Android blog type client destined to publish articles and researches for independent journalists. MeShell.io - Landing page for more information Minds - open source social network. Supports reading and creating posts using the Nostr protocol more-speech - desktop client for nostr written in Clojure nblog - a self-host nostr ghost blog ni.py - CLI post only client for Nostr, Activity Pub, and the AT Protocol written in Python. Nootti - Cross-posting iOS & iPad client app for Bluesky, Mastodon and Nostr Nos - A UX focused iOS / MacOS app written in swift based on planetary.social nos.social nosbin - pastebin over nostr noscl - a basic command-line client written in Go Nosky - A native Android client for Nostr. Still in development nostr.kiwi - nostr.kiwi is a progressive web app to share notes and curate content in communities. NostrChat.io - NostrChat is a chat app where you can have group chats, DM, threads, and emojis. nostr console - a nostr command line client written in Dart. Binaries available for Windows, Linux, and MacOS Nostr Nests - Nostr Nests is an audio space for chatting, brainstorming, debating, jamming, micro-conferences and more. nostr-chat-widget-react - A React component that provides a live-chat widget over nostr that can be embedded into any website. NostrEmitter - Simple E2E encrypted client and EventEmitter object Nostribe.com - Nostr client web app built with Next.js 13 and TypeScript. Nostribe.com - Live instance. Nostr Playground - A simple and user-friendly playground for Nostr. playground.nostr.com - Live instance. Nostrid - Multi-platform client currently offering binaries for Android, Windows, MacOS and Linux. Nostrid.Web - Web version running completely on the browser. It can be installed locally as PWA. nostromat - A Twitter-style Nostr web client, written in Clojurescript/React nostrom.at - live instance Nostros - A nostr mobile client for Android Nostree - nostree.me A Nostr-based application linktree-style to create, manage and discover link lists, show notes and other stuff. nostr.time - A calendar app built on nostr Nostrtium - Post to Nostr directly from within WordPress noStrudel - hzrd149's personal nostr client. nostrweb - another nostr web client in vanilla JS nostr.ch - live instance nostr-relay-tray - a simple nostr relay tray app written in Electron nostter - Twitter-like web client Nostur - Nostr client app for iOS and MacOS. ( Apple Store link ) nostui - A TUI client for Nostr notebin.org - Nostr UI created with NextJS, support for markdown and code highlighting Noteon - Yet another nostr client focused on private chat and group chat with a simple, elegant and secure interface. nostr.noteon.io Nostr Web - React web client for static hosting franzos.github.io/nostr-ts - preview from master branch Nuxstr - Starter template for building a Nostr client with the Nuxt Vue framework and Nostr Dev Kit (NDK). nuxstr.nostrver.se - demo OstrichGram - OstrichGram is a Telegram style desktop app for Linux and Windows featuring group chats and DMs. Pinstr - Pinstr is a decentralized and open-source social network for curating and sharing your interests with the world. Pinstr.app - live instance Postr For Nostr - Post to Nostr directly from within WordPress using NIP-07 Pretty Good Apps - A desktop nostr client for linux, mac and windows with a focus on decentralized reputation and web of trust. First application: crowdsourced decentralized list curation. Primal - Lightning fast web client for Nostr. Features extensive analytics, vanity profiles and more. Pollstr - A nostr web client with a focus on polls. pollstr.online - live instance Rabbit - A nostr client like TweetDeck Satellite - Nostr web client with Reddit-style threads satellite.earth - live instance scalastr - A barebones nostr client written in scala second exchange - an experiment to work out something of like medium, something of creator economy where users are rewarded for engaging in quality discussion and most importantly engaging in governance-related discussion Sendstr - shared clipboard between devices over nostr Shipyard - A quiet space for loud ideas: focused writing for Nostr. shockwallet - A Lightning wallet that uses nostr and lnurl to connect to nodes Snort - Nostr UI written in react snort.social Spring Browser - Nostr-focused browser app for Android. Stackerstan - A decentralised organization built on Bitcoin and Nostr, implemented as a replicated state machine in Golang Tamga - An offline first nostr contact & profile manager for iOS! uBlog - A minimalist blog on nostr that allows anyone to easily create their own personal micro-blog. u-blog.vercel.app Votestr - Poll web app with nostr authentication and blind signature unlinkability wikistr - A "wikipedia" client for nostr wikistr.com Written - Self hosted blog using nostr long-form content (NIP-23) and it shows only posts by selected authors. Demo yakihonne.com - YakiHonne is a censorship-resistant content media protocol, which supports free curation, creation, publishing, and reporting by various media. YakiHonne mobile app - iOS and Android app zapddit - Reddit-style client for nostr where you can follow topics (similar to subreddits), mute certain topics (like #bitcoin), upzap and downzap notes using your hard-earned sats. Highlighter - Discover and share curated insights by people you trust. Highlight Books, articles, tweets, anything! Habla.news - Habla allows you to read, write, curate and monetize long form content over Nostr, a censorship-resistant protocol for social media that uses long form nostr content. 0xchat - a telegram/wechat-like nostr client for iOS and Android 0xchat on iOS 0xchat on Android Plebstr - Nostr client Reimagined, the most beautiful Twitter-like nostr client for iOS & Android. Plebstr on Apple App Store Plebstr on Google Play Store Swarmstr - Your knowledge hub for curious minds Swarmstr - live instance zephyr - A meditative nostr feed reader Voyage - Lightweight Android client with a Reddit-like UI Locus - Share your location end-to-end encrypted on decentralized servers using Nostr. Nostr Marketplace clients (NIP-15 & NIP-99) LNBits Nostrmarket - Nostrmarket extension for LNBits allows you to sell items directly from your LNBits instance Plebeian Market - The Bitcoin-native self-sovereign marketplace built on top of NIP-15 includes fixed-price items and auctions Shopstr - The Lightning and Cashu-native self-sovereign marketplace built on top of NIP-99 includes fixed-price items Client reviews and/or comparisons Feature comparison list of Nostr clients Feature Matrix for Nostr Clients Landing page Libraries amberflutter - A Flutter wrapper for Amber (Offline Signer). arduino-nostr - An Arduino nostr library. dart_nostr - A developer experience Dart library for Nostr dart-nostr - a Dart library for Flutter go-nostr - a Go library that implements relay management, plus event encoding and signing utils navigatr - A utility for discovering relays and scraping events nmostr - a Nim library for Nostr NNostr.Client - a C# Nostr library for use by clients nostr_rust - Functional Rust implementation of the nostr protocol nostr-bot - a Rust library for writing bots nostr-connect - Nostr Connect SDK for TypeScript is a library that allows you to easily integrate Nostr Connect into your web application nostr-deno - a client library for Deno javascript runtime. nostr-development-kit - NDK - NDK is a nostr development kit that makes the experience of building Nostr-related applications, whether they are relays, clients, or anything in between, better, more reliable. nostr-fetch - A utility library that allows JS/TS apps to effortlessly fetch past events from Nostr relays. nostr-java - A nostr client library, written in java, for generating, signing and publishing events. nostr-js - a javascript implementation of the nostr protocol nostr-ts - a Typescript implementation of the nostr protocol plus toys nostr-hooks - React hooks for developing Nostr clients. It's simple and intelligent. nostr-one - A reusable web component that provides a simple way to integrate with the Nostr NIP 98 HTTP Auth. nostr-php - a PHP library for nostr nostr-react - React Hooks for Nostr nostr-relay - A typescript library that helps you easily build your customized Nostr relay. nostr-relay-inspector - A library that returns useful information about relays based on nostr-js nostr-relaypool-ts - a TypeScript relay pool library on top of nostr-tools that simplifies handling subscriptions to multiple servers nostr-ruby - a Ruby implementation of the nostr protocol nostr-tools - a JavaScript client that abstracts the relay management code for use by clients nostr-types - a rust library defining types useful for the nostr protocol nostr - a Ruby Nostr gem for use by clients NostrKit - a Swift library for interacting with relays NostrPostr - a Kotlin Nostr library for clients or relays schorr_snap - A snap plugin for Metamask Flask, supports nostr Nostra - a F# library, available as a nuget package, for interacting with relays. The Nostra relay is built on top of it too. nostr-geotags - NPM module that generates geotags for nostr events given datapoints such as GPS/DD, an ISO-3166-1 countryCode and/or an ISO-3166-2 regionName, as well as many passthroughts. Supports ISO-3166-1/2/3 and UN M49. noscrypt - A C89 library for nostr specific cryptography operations. Osty npm create osty@latest - Osty on NPM osty.dev - Landing Website of Osty paravel - an abstract toolkit for writing nostr clients. pynostr - a python library for nostr python-nostr - a python library for making clients relayer - a server framework for writing custom relays rust-nostr : Nostr protocol implementation: Rust: https://crates.io/crates/nostr Kotlin: io.github.rust-nostr:nostr Swift: https://github.com/rust-nostr/nostr-swift Python: https://pypi.org/project/nostr-protocol High level client library: Rust: https://crates.io/crates/nostr-sdk Kotlin: io.github.rust-nostr:nostr-sdk Swift: https://github.com/rust-nostr/nostr-sdk-swift Python: https://pypi.org/project/nostr-sdk nostr-spring-boot-starter - Spring boot starter projects for building Nostr applications. mostro-core - common types used by mostro and clients (WIP) Bridges and Gateways matrix-nostr-bridge - a simple Matrix-to-Nostr or Nostr-to-Matrix bridge Mostr - a bridge between Nostr and the Fediverse (Mastodon, ActivityPub, etc.) nostrss - A flexible and lightweight application to broadcast RSS feeds on Nostr rsslay - fork of the rsslay by @fiatjaf. a bridge that puts RSS feeds into Nostr optimized, more funcionalities and UI improvements. Live at rsslay.nostr.moe smtp nostr gateway - a bridge that forwards emails to pubkeys as encrypted direct messages Nostr over LoRa - a gateway that can relay off-grid Meshtastic messages to NoStr. atomstr - RSS/Atom gateway to Nostr. Live at https://atomstr.data.haus Cache services Primal - Caching service for Nostr connects to the specified set of relays, collects all events in real time, stores them locally, and makes them available to nostr clients through a web socket-based API. Tools advanced-nostr-search - A tool to search Nostr notes. anonroom - anonymous chat room inside nostr Bech32 for Nostr - bech32 Nostr converter. blastr - A nostr cloudflare workers proxy relay that publishes to all known relays. blogsync - Self-host blog articles from long-form notes e.g. via Caddy server. cafe-society.news - Self-sovereign machine learning training tool for nostr global feed. Trained models can be monetized/distributed over nostr private messages. Your pre-paid model subscribers register via lightning payments. Cloud Seeder - A 1-click deployment and management tool for nostr-rs-relay and other appliances. contact cloud - Discover the Nostr contact list graph and your own pubkey in it. Contact list backup - Backup and restore your contacts granary - Convert nostr content into atom, html, rss, json, indieweb feed, mastodon, microformats2, activitystreams, activitypub/fediverse, jsonfeed, and bluesky's atproto all with web and rest-api. granary.io - live instance git-nostr-tools - A cli tool for sending code patches over nostr git-nostr - A tool to enhance git cli with nostr communications. Publish patch content, prs, repo name, issues, etc to nostr relay. heyxynip5 - A CLI helper for converting nostr npub/nsec to their hex format for NIP-05 verification. homebrew-nostr - Homebrew tap for Nostr software. http-nostr-publisher - A Cloudflare worker to publish Nostr events to relays through a non-blocking HTTP interface . knob - command line tool to post text files to nostr keystr-rs - An application for managing Nostr keys. Written in Rust, with simple UI (Iced). lnpass - A key manager for Lightning and nostr. Nostr profile manager - Backup your nostr profile and metadata nashboard - a Nostr network dashboard with network statistics, reachable here ndxstr - nostr's layer 2 indexing nodes, with more advanced querying capability than currently supported by relays njump - a nostr static gateway, it displays notes and other stuff from inside nostr as HTML with previews. NIPF - A Python facilities manager for NOSTR ecosystem. nip06-cli - a Node.js CLI to generate or restore NIP-06 seed phrases nip06-web - a website to generate or restore NIP-06 seed phrases nip06.jaonoct.us - by jaonoctus nkcli - A CLI tool for nostr key manage and serve NIP-46. nos2x - nostr signer extension - a browser extension for signing events on 3rd party site without sharing your private keys with them nostcat - cat-like nostr client for scripting and debugging written in Rust nosdump - A command line tool which dumps (download) events stored in Nostr relays nostrame - Nostr Accounts Managing Extension NostrAirTracker - Elonjet on Nostr Nostr action - Send events from GitHub Actions nostr army knife - nostr army knife by fiatjaf nostr-crdt - Use Nostr for collaborative, decentralized, local-first applications with the Nostr-CRDT Yjs provider. nostr GitHub Action - send events from GitHub Actions nostr registry - a database of known relays with their uptime and NIP support tables NostrReply - Bot that replies to specified text on nostr global feed using NIP50 nostr_simple_publish - Drupal module to publish content to Nostr. nostr-broadcast - This tool lets you take your events from some relays and broadcast them to another relay. Could be helpful for backing up your notes to a private relay. nostr-bulk-dms - A tool that allows you to send DMs over nostr to many recipients in bulk. nostr-cln-events - A CLN plugin to push clightning node events to nostr nostr-commander - simple but convenient CLI-based Nostr app for following users, sending DMs, etc. nostr-delete - generate delete events requesting relays drop and delete content you've published. Blasts out delete request to many relays. nostr-delete web app nostr-follow-bundler This tool lets you create lists of profiles that other users can then see and follow themselves. nostr-fzf - Nostr Directory; a tool for searching usernames and channels nostr.json generator - Generate NIP-05 nostr.json from NIP-65 or NIP-07 nostr-launch - a tool for launching a bunch of relays and clients locally for development and testing nostr-notify - desktop nostr notifications using libnotify nostr-proxy - Push and get events to your Proxy, get results from multiple Nostr relays. NostrP2P - Pure peer-to-peer distributed microblog system on NAT transparent overlay network implemented in Golang based on idea of Nostr nostr-rs-relay-compose - a Docker compose deployment for nostr-rs-relay with SSL support based on Traefik nostr-spam-detection - An experiment in building a machine learning model to label Nostr spam content for filtering and relay rejection. nostr-terminal - SSH-like access to your machine via web terminal, powered by Nostr. nostr-tool - Rust CLI tool to generate and publish events nostr-wtf - A set of nostr tools available and deployed on a web app including a pubkey converter and relay query tool . nostr.directory - searchable database of nostr users and their other social media links. nostr.guru - a nostr web gateway for viewing events by their ID nostr.io - network statistics with last published notes, top 50 publishers, and top 50 followed users nostrandom.netlify.app - generate publish-able Nostr event with random keys nostrefresh - simple refresh function for nostr web pages nostrends - Trending on Nostr, like Twitter trends. Live at nostrends.vercel.app . nostreq - Nostr relay event request generator NostrFlu - A tool to collect and resend following lists from relays. You can also check badges. nostrit - A tool to publish time delayed nostr events based on triggers. nostrit-push - Blaster tool that will take a signed nostr event and push it to many (most?) open relays. nostrich.fun - A feature-rich directory of nostr projects. A fork of LightningNetworkStores.com nostrify - A Core Lightning plugin that sends events (forwards, connect, disconnect, etc.) to nostr. nostril - C cli tool for creating nostr events nostrillery - a tool for running performance tests against Nostr relays nostro - nostr osint (open source intelligence) tool NostrSwap - NostrSwap is a fully decentralized exchange built on Nostr Protocol. nostrview - A nostr search engine. Search by content, tags, events or pub keys. hostr - nostr-webhost is a tool for hosting SPA on nostr nsecbunkerd - Keep your nostr keys in a single place and provide fine-grained access to your team members. Obsidian Nostr Writer - A free Obsidian plugin that allows writers to seamlessly publish to Nostr powrelay.xyz - A proof of work based nostr explorer. rss.nostr.band - Create custom RSS feeds with posts matching your keywords and consume using your favorite RSS reader. sb.nostr.band - Search bots that you can create and follow to receive new posts matching a keyword right into your feed. scoop-nostr - Scoop bucket for Nostr software. secret-border - A safe Nostr identity generator. strfry policies - A collection of moderation & antispam policies for the strfry relay developed in TypeScript/Deno. Spamster - Spamster is for testing relays and spam filters. tostr - a twitter to nostr bot Undelete my Nostr - Simple tool for restoring deleted nostr account. Embed widget - Embed Nostr notes or profiles into any website with just a line of code. nostri.chat - An embeded chat widget for your website. (seriously simple like copy/paste) NostrTool - a tool to play with keys. Nostr NIP-36 Image Redirector - Reverse proxy server which blocks accesses to NIP-36 marked image files from NOT NIP-36 compliant clients. LikZap - A nostr bot to zap a note when you like it. Zapper - Nostr micro-app for zapping Replies - Nostr micro-app for viewing replies and reactions to events Chief - A Strfry write policy plugin that provides blacklists for public keys, event kinds and words/sentences. nostr-badges - Nostr badge microservice for managing self-awarded badges. Live at app.akaprofiles.com nostpy-cli - A Python command line nostr client/tool for relay development NIP-05 identity services bitcoiner.chat - A free NIP-05 ID registration service. getalby.com - Lightning wallet with NIP-05 ID registration service. iris.to - A Nostr client that provides a free NIP-05 ID lifpay.me - Lightning wallet with NIP-05 ID registration service. nanostr - A NIP-05 name server written in Deno. nip05.social - A free and anonymous NIP-05 ID registration service nostr-relay.org - A NIP-05 ID registration service zaps.lol - A free and open source NIP-05 ID registration service. Run your own . easyNostr - NIP-05 ID provider: Use your own domain, or one of ours: nostr.ly, mynostr.io, easyNostr.com. easyNostr-NIP05 - WordPress plugin to enable your site as a NIP-05 endpoint for every registered user on your system using your own domain. nostrcheck.me - A free NIP-05 ID (nostr address) registration service, lightning redirection and media uploads. Nostr-Check.com - A free NIP-05 ID registration service. nostrplebs - A NIP-05 ID registration service. nostrprotocol.net - A free NIP-05 identifier service. plebs.place - A NIP-05 ID registration service (in portuguese). pleroma2nip05 - A Python based service to link pleroma ID's to nostr keys. younostr.com - A NIP-05 ID registration service (in portuguese). onlyzaps.club - A free, open-source and anonymous NIP-05 ID registration service for all nip05.nostr.band - A NIP-05 ID registration service. nostrich.love - A Nostr Address registration service. swarmstr.com - A free Nostr Address registration service. siamstr.com - A free NIP-05 ID registration service, lightning redirection. toastr.space - Paid NIP-05 and Reputation Badge service. Verify and link your identity from Twitter or GitHub to your Nostr account, and get a badge to prove it. Nostrich House - Paid NIP-05 service with nostr bot interface. Buy your nostr address with DM to nostrich@nostrich.house for 1 sat/hour, anonymous, immediate. Verified-Nostr.com - Free and Paid Nostr Address (NIP-05) verifier service with premium relay and vanity domains. Offline signers keechain - Bitcoin application to transform your offline computer in an AirGap Signing Device (aka Hardware Wallet) with support to NIP-06 and NIP-26 . nostr-signing-device - Signing device for Nostr built on ESP32 nostrum - Nostrum it's a mobile app that allows you to sign transactions and messages with your Nostr keys. Nostrum is the reference implementation for a remote signer app (ie. Wallet) of the Nostr Connect protocol. amber - Amber is a nostr event signer for Android. It allows users to keep their nsec segregated in a single, dedicated app. The goal of Amber is to have your smartphone act as a NIP-46 signing device without any need for servers or additional hardware. "Private keys should be exposed to as few systems as possible as each system adds to the attack surface," as the rationale of said NIP states. In addition to native apps, Amber aims to support all current nostr web applications without requiring any extensions or web servers. Vanity pubkey mining glasnostr - CLI tool to mine a vanity prefix for your nostr npub go-pubmine - Multithreading nostr keypair generator which gives pretty (vanity) public keys. Both cli and web app are available. key-generator - A simple tool to generate nostr keypair. nostr-pubminer - A simple tool to mine nostr vanity pubkeys nostr.rest - Mine proof of work public keys with user specified prefixes nostr-vanity-address-generator - Cross-platform nostr vanity address generator nostrogen - simple web based nostr vanity address generator powpub - A decentralized protocol to buy Nostr vanity pubkeys or sell hashrate WebLN demo - Simple web demo where clients can pay with WebLN rana - Vanity pubkey miner based on nip13 Peer-to-peer mostro - Daemon for Lightning Network peer-to-peer exchange platform on Nostr (WIP) mostro-cli - CLI client to operate with Mostro (WIP) mostro-web - Web client to operate with Mostro (WIP) NIP-07 Browser extensions Allow you to sign Nostr events on web-apps without having to give them your keys Aka Profile - Nostr Signing Extension for Chrome supporting multiple key pairs based on nos2x. Alby - Bitcoin Lightning app with nostr support Blockcore - Multi wallet browser extension with nostr support horse - hardware remote nostr event signer with webserial Keys.Band - Multi-key Nostr signing extension for Chrome with a sleak UI/UX. Based on NOS2X. nodestr - A nip07 provider and polyfill for NodeJS nos2x - Nostr Signer Extension nos2x-fox - A Firefox add-on that lets you manager your Nostr keys in one place, and then sign events in websites without exposing your private key Nostore on GitHub - Nostr Signer Extension for iOS/macOS Safari ( Nostore on Mac App Store ) nostr-keyx - A NIP-07 browser extension that uses the OS's keychain or YubiKey to protect your private keys. nostr - A free, open source, and decentralized password manager, powered by NOSTR Nostrmo - A nostr client. OneKey - Open-source crypto wallet with nosrt support. Signum XT Wallet - Metamask-like browser extension for Signum blockchain with full NIP07 support and multi-account management Spring Browser - Nostr-focused browser app for Android. TokenPocket - Multi wallet browser extension with nostr support. https://tokenpocket.pro wen - browser extension for website enhancer with nostr NIP-47 Nostr Wallet Connect (NWC) implementations Clients (apps using NWC to access a LN wallet) Damus - The OG nostr client for iOS Amethyst - Android only app Lume - Cross-platform desktop app Nostur - A nostr client for iPhone and macOS Spring Browser - Nostr-focused browser app for Android. YakiHonne - iOS and Android app Endpoints (services or apps that expose a LN wallet via NWC) Alby NWC (Umbrel) - Umbrel app for exposing your self-custodial Umbrel LN Wallet over NWC Alby NWC (Web) - Web portal for exposing your custodial Alby account over NWC Mutiny - Self-custodial LN wallet that runs in the browser NIP-57 Zaps compatible wallets and solutions Alby - Bitcoin Lightning app with nostr support Blink - Blink (ex Bitcoin Beach Wallet) btcpayserver - btcpayserver has NIP-57 support for LN addresses since 1.9 version Current - nostr client + lightning wallet LifPay - Bitcoin Lightning app with personalized features LightningTipBot - A tip bot and Bitcoin Lightning wallet on Telegram LNbits - Bitcoin Lightning accounting system, zappable LNaddresses nostdress - Lightning addresses server based on satdress. Adapted to work with Nostr features (NIP05, NIP57) Wallet of Satoshi - Custodial lightning wallet Zebedee app - Zebedee's wallet/lightning app ZeusLN - A mobile Bitcoin/Lightning app for LND, Core Lightning, and Eclair node operators zap_server - An LNURL server to recieve zaps to tor hosted node and generate kind 9735 zap receipt events NIP-90 Data vending machines data-vending-machines.org - This website provides specs of the different NIP-90 Data Vending Machine kinds data vending machine example - Nostr data vending machine example by Pablof7z dvm references - reference implementation of a DVM (Data Vending Machine) backend nostr-dvm-ts - Typescript examples of Nostr Data Vending Machines vendata.io - data processing AI marketplace with nostr data vending machines tasktiger.io - another DVM provider DVM Clients and Services Tutorial - Nostr Data Vending Machine Clients and Services Tutorial by Kody Low NostrDVM - NostrDVM: Nostr NIP90 Data Vending Machine Framework in python NIP-96 File Storage Servers nostrcheck.me nostrage sove nostr.build sovbit void.cat nostpic mockingyou.com nostr.onch.services Updated list of NIP-96 servers here Adjacent protocols Blossom - Blobs stored simply on mediaservers Communities Outside of nostr itself, you find the community on: Discord - a discord server for nostr enthusiasts and developers Reddit /r/nostr - subreddit for nostr related discussion Telegram: nostr Protocol - telegram group for nostr protocol discussion Telegram: nostr CN - chinese telegram group for nostr Telegram: nostr ES (Español/Spanish) - spanish telegram group for nostr Telegram: nostr FR (Francophone/French) - french telegram group for nostr Telegram: nostr NL (Dutch, Nederlands) - Dutch nostr group Telegram: nostr RU/UA/BY - an Eastern European community in telegram group for nostr Tutorials Build your first nostr app - Nostr Dev course by Super Testnet Reddit clone by Super Testnet - part 1 , part 2 - building a reddit clone by Super Testnet How to set up a paid nostr relay How to: Run your own nostr relay (nostr-rs-relay, Caddy, no Docker) Nostr Newcomers Most Common Questions and Answers nostr workshop with super testnet Set up a nostr relay server in under 5 minutes Step-by-Step guide to set up a relay on your server (AWS, DigitalOcean, RaspBerry... ) strfry personal relay - 10 minute setup of a personal nostr relay on a vanilla Linux VPS. Adds support for NIP-65. SuperConductor - Creating Java Nostr-Relay Framework & Web Application event-handlers Recommended reading/watching Nostr, an introduction - written by scsibug Why I'm Betting Big On Nostr - written by Max Webster, Hivemind VC Why Nostr Matters - written by Jameson Lopp A vision for content discovery and relay usage for basic social-networking in Nostr - written by fiatjaf Nostr Documentary - Social Media is broken. Can we fix it? What is Nostr? - Uncle Bob explains nostr Decentralizing Global Markets with Nostr - Guy Swann and Pablof7z Podcasts Nostrovia Podcast - A Nostr podcast covering all the new projects, all the new cool stuff, all the new NIPs Nost talks - Nostr related news and interviews Thank god for nostr - The Thank God For Nostr podcast explores the ins and outs of Nostr, the decentralized social protocol, through a Christian lens La Cosa Nostr - A podcast about the Nostr decentralized communications protocol. No Strings - freedom tech podcast Plebchain Radio - weekly live audio show made for plebs, by plebs which focuses on the intersection of Nostr protocol and Bitcoin plebs. Other links inosta api - Expensive Image Hosting Service api.inosta.cc - Backend live instance inosta.cc - Demonstrator live instance logseq-nostr-sync - Logseq plugin to receive new entries as DM. Media caching server for Nostr - caches resized profile pictures and banners to save bandwidth for clients nostr icons - Purple, white, and black icons in various formats designed for nostr. nostr icons 2 - Another repository of nostr icons (rounded, rectangular) Nostr playground - JSON-based web client written in vanilla JavaScript nostr playground in Ruby nostr.build - nostr image uploader nostrability - The practical documentation of how various nostr apps play together. RSS feeds for news on Nostr - a curated list of news press channels RSS feeds that we can follow on Nostr search posts/profiles by keyword - posts from major relays indexed and searchable in real-time Summaries of all Nostr Improvements Proposals - ChatGPT generated summaries of all NIPs by k00b vanilla-js-nostr - a demo of posting and viewing a feed in nostr using vanilla javascript Zaplife - Real-time feed for nostr zaps. The best tool to shut up the "lightning doesn't work" people. wellorder nostr datasets - Public standardized nostr datasets for benchmarking, data science, or other analysis. ostrich.work - nostr job board njump.me - hosted http gateway for browsing profiles, notes and relays awesome-nostr-japan - awesome nostr japan awesome-nostr-possibilities - Nostr will fail if it stays just another social media protocol. This repo lists ideas for non-social-media applications. Deprecated alphaama.com - is under maintenance as of late 2022. branle - a Twitter-like client that was discontinued but lives on in its fork "Astral". Flamingo - Nostr browser extension with a focus on UX Listr - A Nostr Web Client for Making Lists. expensive relay - a relay that requires payment for registration nodestr - a Node.js implementation Nozzle - A lightweight Android client Hamstr - A twitter-style web client built with Vue.js hamstr.to nostr-pass - experimenting with nostr priv/pub key pairs for replacing passwords Data for this list is contributed by the community and curated by aljaz@nostr.si ( npub1aljazgxlpnpfp7n5sunlk3dvfp72456x6nezjw4sd850q879rxqsthg9jp) Contributors

nostr.net - awesome-nostr is a collection of projects and resources built on nostr to help developers and users find new things

nostr

WolfireGames/overgrowth

Overgrowth This is the official repository for Overgrowth 's source code. Only the code is available here; the game data (such as art assets and levels) can only be legally obtained by purchasing Overgrowth from Wolfire Games . This repository lets you‥ Run the open source code with the commercial data to perform experiments for educational purposes. Propose changes to be merged back into the commercial game. Create modifications for Overgrowth that would otherwise be impossible. Use helpful code snippets in your projects. Create your own commercial "total conversions" that use an entirely new set of assets. If you would like to distribute any of the original Overgrowth assets, you must obtain explicit written permission from Wolfire Games. Compiling COMPILING.md contains instructions on compiling and running the commercial Overgrowth game using the open source code. Contributing This repository is entirely community-operated. This means you can help by submitting bug reports, reviewing other people's code, contributing your own code, and so on. Read CONTRIBUTING.md for more information. License Unless otherwise noted, the code in this repository is licensed under Apache-2.0 . Read LICENSE for the full license. Apache-2.0 is a "permissive" open source license, meaning you can use it for more or less whatever you want, including in closed source projects. Licenses are hard to understand, Apache-2.0 is no exception. Here is a summary of what the license means in practice in most cases. This is not legal advice: If you distribute a compiled program using the code, or you distribute the code itself, modified or not, you must do the following: Include the entire contents of the LICENSE file The license can be somewhere in the program itself or in a separate file. The purpose is to clarify under what license you're using the code. For example, you can have a file called LICENSES , and there you can have a line saying This software uses code from Overgrowth under the Apache-2.0 license, read the full license in the file named LICENSE_APACHE. . Mark files you've changed with a notice If you distribute the code itself, in each file you modify, write that you have modified it. For instance, the files have a "boilerplate notice" at the top, you can write that you have changed it there, so it looks something like this: // Name: filename.h // Developer: Wolfire Games LLC // Modified By: Firstname Lastname // Description: // License: Read below Do not remove any copyright notices or similar You're not allowed to remove things like Copyright 2022 Company Name or similar.

Open Source codebase of the game Overgrowth by Wolfire Games LLC

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dimensionhq/fleet

Fleet is a blazing fast build tool for Rust. Compiling with Fleet is up-to 5x faster than with cargo . Note : Since Fleet is still under development, it might not be completely stable yet. Feel free to open any issues or bug reports at issues . :zap: Installation On MacOS & Linux: bash curl -L get.fleet.rs | sh On Windows: powershell iwr -useb windows.fleet.rs | iex Building from source Prerequisites: Rust powershell cargo install --git https://github.com/dimensionhq/fleet fleet-rs How does fleet work? Fleet works by optimizing your builds using existing tooling available in the Rust ecosystem, including seamlessly integrating sccache, lld, zld, ramdisks (for those using WSL or HDD's) et al. Versioning We use SemVer for versioning. For the versions available, see the tags on this repository . License This project is licensed under the Apache 2.0 License - see the LICENSE.md file for details.

🚀 The blazing fast build tool for Rust.

build,productivity,rust,systems

xianfei/SysMocap

SysMocap English Version | 中文版本 A cross-platform real-time video-driven motion capture and 3D virtual character rendering system for VTuber/Live/AR/VR. Available for Windows, macOS (including Apple Silicon & Intel) & Linux (source code only) Download Now (zipped, without installation) (This is a multi-language software, including English. ) Highlights 🌟 Beautiful GUI with Material Design 3 Color System, with Dark Mode supported. 🌟 Easy to used. You can import 3D models just with drags. https://user-images.githubusercontent.com/8101613/167257555-8b8d4b99-f99f-4b79-8891-967b8723e3f8.mp4 🌟 Support WebXR API on Mocap Forwarding (HTTPS only) https://user-images.githubusercontent.com/8101613/167257906-596919a5-4c0e-4795-865f-384a15c0d39f.mp4 🌟 Model viewer with bones & dressing controller 🌟 Support OBS live-streaming 🌟 Support full-body motion capture 🌟 Support Auto Skeleton Detection for All VRM files and Mixamo Format FBX files 🌟 Support Any Skeleton Structure with Manual Mapping 🌟 Does not require a discrete graphics card and runs smoothly even on eight-year-old computers (i7-4790k/GTX770/16G RAM) 🌟 Powered by Mediapipe and Kalidokit with Web Technologies More Effect Demonstration 🌟 Facial 🌟 Half-body 🌟 Half-body with Hands 🌟 Full-body System architecture How to use Download prebuilt package (Windows & macOS): Download Now Note for user on macOS: You need set Gatekeeper to Anywhere in System Settings (using sudo spctl --master-disable ) If you got “SysMocap” is damaged and can’t be opened. You should move it to the Trash. Please run sudo xattr -r -d com.apple.quarantine /Applications/SysMocap.app in your terminal Run on your computer from source code (need lastest Node.js): shell git clone https://github.com/xianfei/SysMocap.git cd SysMocap npm i npm start Bugs You tell me Notice HTTP & HTTPS will use same port in Mocap Data Forward. Required Skeleton Node in glTF/glb/FBX Model File for Macap: (If not same as above, you need rebind them manually.) Hips (Main Node, both Position and Rotation. Ratation only for other nodes) Neck Chest Spine RightUpperArm RightLowerArm LeftUpperArm LeftLowerArm LeftUpperLeg LeftLowerLeg RightUpperLeg RightLowerLeg Star History Development progress To-Do [x] Settings page and global settings utils [x] Add play/pause button and progress bar when mocap from video [x] Support bones binding for glTF/glb [x] Support rendering glTF/glb model [x] Support binding when bones' name is non-uniformed [x] Model library add user's custom 3D model [x] Live plug-in / interface for Open Broadcast Software [ ] ~~Output video ( using such as libffmpeg )~~ [ ] ~~Support per-frame rendering without drop frame~~ [ ] ~~Support c-s architecture for online video mocap ( on cloud )~~ [x] Support Material Designed 3 Color System (color picking) [x] Mocap data forwarding via network [x] Adapt for Linux and macOS Thanks You can see all dependencies in package.json google/mediapipe/Holistic for Mocap kalidokit for Calulate Mocap Data electron and Vue.js for GUI Framework Material color utilities for Color Picking Cite @INPROCEEDINGS{9974484, author={Song, Wenfeng and Wang, Xianfei and Gao, Yang and Hao, Aimin and Hou, Xia}, booktitle={2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)}, title={Real-time Expressive Avatar Animation Generation based on Monocular Videos}, year={2022}, volume={}, number={}, pages={429-434}, doi={10.1109/ISMAR-Adjunct57072.2022.00092}}

A real-time motion capture system for 3D virtual character animating.

augmented-reality,augmented-reality-applications,mocap,motion-capture,vtuber

zbirenbaum/copilot.lua

copilot.lua This plugin is the pure lua replacement for github/copilot.vim . Motivation behind `copilot.lua` While using `copilot.vim`, for the first time since I started using neovim my laptop began to overheat. Additionally, I found the large chunks of ghost text moving around my code, and interfering with my existing cmp ghost text disturbing. As lua is far more efficient and makes things easier to integrate with modern plugins, this repository was created. Install Install the plugin with your preferred plugin manager. For example, with packer.nvim : lua use { "zbirenbaum/copilot.lua" } Authentication Once copilot is running, run :Copilot auth to start the authentication process. Setup and Configuration You have to run the require("copilot").setup(options) function in order to start Copilot. If no options are provided, the defaults are used. Because the copilot server takes some time to start up, it is recommend that you lazy load copilot. For example: lua use { "zbirenbaum/copilot.lua", cmd = "Copilot", event = "InsertEnter", config = function() require("copilot").setup({}) end, } The following is the default configuration: lua require('copilot').setup({ panel = { enabled = true, auto_refresh = false, keymap = { jump_prev = "[[", jump_next = "]]", accept = "<CR>", refresh = "gr", open = "<M-CR>" }, layout = { position = "bottom", -- | top | left | right ratio = 0.4 }, }, suggestion = { enabled = true, auto_trigger = false, hide_during_completion = true, debounce = 75, keymap = { accept = "<M-l>", accept_word = false, accept_line = false, next = "<M-]>", prev = "<M-[>", dismiss = "<C-]>", }, }, filetypes = { yaml = false, markdown = false, help = false, gitcommit = false, gitrebase = false, hgcommit = false, svn = false, cvs = false, ["."] = false, }, copilot_node_command = 'node', -- Node.js version must be > 18.x server_opts_overrides = {}, }) panel Panel can be used to preview suggestions in a split window. You can run the :Copilot panel command to open it. If auto_refresh is true , the suggestions are refreshed as you type in the buffer. The copilot.panel module exposes the following functions: lua require("copilot.panel").accept() require("copilot.panel").jump_next() require("copilot.panel").jump_prev() require("copilot.panel").open({position, ratio}) require("copilot.panel").refresh() suggestion When auto_trigger is true , copilot starts suggesting as soon as you enter insert mode. When auto_trigger is false , use the next or prev keymap to trigger copilot suggestion. To toggle auto trigger for the current buffer, use require("copilot.suggestion").toggle_auto_trigger() . Copilot suggestion is automatically hidden when popupmenu-completion is open. In case you use a custom menu for completion, you can set the copilot_suggestion_hidden buffer variable to true to have the same behavior. For example, with nvim-cmp : ```lua cmp.event:on("menu_opened", function() vim.b.copilot_suggestion_hidden = true end) cmp.event:on("menu_closed", function() vim.b.copilot_suggestion_hidden = false end) ``` The copilot.suggestion module exposes the following functions: lua require("copilot.suggestion").is_visible() require("copilot.suggestion").accept(modifier) require("copilot.suggestion").accept_word() require("copilot.suggestion").accept_line() require("copilot.suggestion").next() require("copilot.suggestion").prev() require("copilot.suggestion").dismiss() require("copilot.suggestion").toggle_auto_trigger() filetypes Specify filetypes for attaching copilot. Example: lua require("copilot").setup { filetypes = { markdown = true, -- overrides default terraform = false, -- disallow specific filetype sh = function () if string.match(vim.fs.basename(vim.api.nvim_buf_get_name(0)), '^%.env.*') then -- disable for .env files return false end return true end, }, } If you add "*" as a filetype, the default configuration for filetypes won't be used anymore. e.g. lua require("copilot").setup { filetypes = { javascript = true, -- allow specific filetype typescript = true, -- allow specific filetype ["*"] = false, -- disable for all other filetypes and ignore default `filetypes` }, } copilot_node_command Use this field to provide the path to a specific node version such as one installed by nvm. Node.js version must be 18.x or newer. Example: lua copilot_node_command = vim.fn.expand("$HOME") .. "/.config/nvm/versions/node/v18.18.2/bin/node", -- Node.js version must be > 18.x server_opts_overrides Override copilot lsp client settings. The settings field is where you can set the values of the options defined in SettingsOpts.md . These options are specific to the copilot lsp and can be used to customize its behavior. Ensure that the name field is not overriden as is is used for efficiency reasons in numerous checks to verify copilot is actually running. See :h vim.lsp.start_client for list of options. Example: lua require("copilot").setup { server_opts_overrides = { trace = "verbose", settings = { advanced = { listCount = 10, -- #completions for panel inlineSuggestCount = 3, -- #completions for getCompletions } }, } } Commands copilot.lua defines the :Copilot command that can perform various actions. It has completion support, so try it out. Integrations The copilot.api module can be used to build integrations on top of copilot.lua . zbirenbaum/copilot-cmp : Integration with nvim-cmp . AndreM222/copilot-lualine : Integration with lualine.nvim .

Fully featured & enhanced replacement for copilot.vim complete with API for interacting with Github Copilot

copilot,github-copilot,lsp-server,lua,neovim,nvim-cmp

ddworken/hishtory

hiSHtory: Better Shell History hishtory is a better shell history. It stores your shell history in context (what directory you ran the command in, whether it succeeded or failed, how long it took, etc). This is all stored locally and end-to-end encrypted for syncing to to all your other computers. All of this is easily queryable via the hishtory CLI. This means from your laptop, you can easily find that complex bash pipeline you wrote on your server, and see the context in which you ran it. Getting Started To install hishtory on your first machine: bash curl https://hishtory.dev/install.py | python3 - At this point, hishtory is already managing your shell history (for bash, zsh, and fish!). Give it a try by pressing Control+R and see below for more details on the advanced search features. Then to install hishtory on your other computers, you need your secret key. Get this by running hishtory status . Once you have it, you follow similar steps to install hiSHtory on your other computers: bash curl https://hishtory.dev/install.py | python3 - hishtory init $YOUR_HISHTORY_SECRET Now if you press Control+R on first computer, you can automatically see the commands you've run on all your other computers! Features Querying You can then query hiSHtory by pressing Control+R in your terminal. Search for a command, select it via Enter , and then have it ready to execute in your terminal's buffer. Or just hit Escape if you don't want to execute it after all. Both support the same query format, see the below annotated queries: | Query | Explanation | |---|---| | psql | Find all commands containing psql | | psql db.example.com | Find all commands containing psql and db.example.com | | "docker run" hostname:my-server | Find all commands containing docker run that were run on the computer with hostname my-server | | nano user:root | Find all commands containing nano that were run as root | | exit_code:127 | Find all commands that exited with code 127 | | service before:2022-02-01 | Find all commands containing service run before February 1st 2022 | | service after:2022-02-01 | Find all commands containing service run after February 1st 2022 | For true power users, you can even query directly in SQLite via sqlite3 -cmd 'PRAGMA journal_mode = WAL' ~/.hishtory/.hishtory.db . Enable/Disable If you want to temporarily turn on/off hiSHtory recording, you can do so via hishtory disable (to turn off recording) and hishtory enable (to turn on recording). You can check whether or not hishtory is enabled via hishtory status . Deletion hishtory redact can be used to delete history entries that you didn't intend to record. It accepts the same search format as hishtory query . For example, to delete all history entries containing psql , run hishtory redact psql . Alternatively, you can delete items from within the terminal UI. Press Control+R to bring up the TUI, search for the item you want to delete, and then press Control+K to delete the currently selected entry. Updating To update hishtory to the latest version, just run hishtory update to securely download and apply the latest update. Advanced Features AI Shell Assistance If you are ever trying to figure out a shell command and searching your history isn't working, you can query ChatGPT by prefixing your query with `?`. For example, press `Control+R` and then type in `? list all files larger than 1MB`:  If you would like to: * Disable this, you can run `hishtory config-set ai-completion false` * Run this with your own OpenAI API key (thereby ensuring that your queries do not pass through the centrally hosted hiSHtory server), you can run `export OPENAI_API_KEY='...'` TUI key bindings The TUI (opened via `Control+R`) supports a number of key bindings: | Key | Result | |--------------------|----------------------------------------------------------------| | Left/Right | Scroll the search query left/right | | Up/Down | Scroll the table up/down | | Page Up/Down | Scroll the table up/down by one page | | Shift + Left/Right | Scroll the table left/right | | Control+K | Delete the selected command | Press `Control+H` to view a help page documenting these. You can also customize hishtory's key bindings for the TUI. Run `hishtory config-get key-bindings` to see the current key bindings. You can then run `hishtory config-set key-bindings $action $keybinding` to configure custom key bindings. Changing the displayed columns You can customize the columns that are displayed via `hishtory config-set displayed-columns`. For example, to display only the cwd and command: ``` hishtory config-set displayed-columns CWD Command ``` The list of supported columns are: `Hostname`, `CWD`, `Timestamp`, `Runtime`, `ExitCode`, `Command`, and `User`. Custom Columns You can create custom column definitions that are populated from arbitrary commands. For example, if you want to create a new column named `git_remote` that contains the git remote if the cwd is in a git directory, you can run: ``` hishtory config-add custom-columns git_remote '(git remote -v 2>/dev/null | grep origin 1>/dev/null ) && git remote get-url origin || true' hishtory config-add displayed-columns git_remote ``` Custom Color Scheme You can customize hishtory's color scheme for the TUI. Run `hishtory config-set color-scheme` to see information on what is customizable and how to do so. Disabling Control+R integration If you'd like to disable the Control+R integration in your shell, you can do so by running `hishtory config-set enable-control-r false`. If you do this, you can then manually query hiSHtory by running `hishtory query `. Default search filters By default, hiSHtory query will show all results for your search query. But, it is possible to configure a default filter that will apply to all searches by default. For example, this can be used to configure hiSHtory to only show entries with an exit code of `0`: ``` hishtory config-set default-filter exit_code:0 ``` Filtering duplicate entries By default, hishtory query will show all results even if this includes duplicate history entries. This helps you keep track of how many times you've run a command and in what contexts. If you'd rather disable this so that hiSHtory won't show duplicate entries, you can run: ``` hishtory config-set filter-duplicate-commands true ``` Offline Install Without Syncing If you don't need the ability to sync your shell history, you can install hiSHtory in offline mode: ``` curl https://hishtory.dev/install.py | HISHTORY_OFFLINE=true python3 - ``` This disables syncing completely so that the client will not rely on the hiSHtory backend at all. You can also change the syncing status via `hishtory syncing enable` or `hishtory syncing disable`. Self-Hosting By default, hiSHtory relies on a backend for syncing. All data is end-to-end encrypted, so the backend can't view your history. But if you'd like to self-host the hishtory backend, you can! The backend is a simple go binary in `backend/server/server.go` (with [prebuilt binaries here](https://github.com/ddworken/hishtory/tags)). It can either use SQLite or Postgres for persistence. To make `hishtory` use your self-hosted server, set the `HISHTORY_SERVER` environment variable to the origin of your self-hosted server. For example, put `export HISHTORY_SERVER=http://my-hishtory-server.example.com` at the end of your `.bashrc`. Check out the [`docker-compose.yml`](https://github.com/ddworken/hishtory/blob/master/backend/server/docker-compose.yml) file for an example config to start a hiSHtory server using Postgres. A few configuration options: * If you want to use a SQLite backend, you can do so by setting the `HISHTORY_SQLITE_DB` environment variable to point to a file. It will then create a SQLite DB at the given location. * If you want to limit the number of users that your server allows (e.g. because you only intend to use the server for yourself), you can set the environment variable `HISHTORY_MAX_NUM_USERS=1` (or to whatever value you wish for the limit to be). Leave it unset to allow registrations with no cap. Importing existing history hiSHtory imports your existing shell history by default. If for some reason this didn't work (e.g. you had your shell history in a non-standard file), you can import it by piping it into `hishtory import` (e.g. `cat ~/.my_history | hishtory import`). Custom timestamp formats You can configure a custom timestamp format for hiSHtory via `hishtory config-set timestamp-format '2006/Jan/2 15:04'`. The timestamp format string should be in [the format used by Go's `time.Format(...)`](https://pkg.go.dev/time#Time.Format). Web UI for sharing If you'd like to temporarily allow someone else to search your shell history, you can start a web server via `hishtory start-web-ui`. This will expose a basic (password-protected) web UI on port `8000` where they can query your history:  Note that this uses [HTTP Basic Auth](https://en.wikipedia.org/wiki/Basic_access_authentication), so the credentials are sent over your local network via HTTP. Customizing the install folder By default, hiSHtory is installed in `~/.hishtory/`. If you want to customize this, you can do so by setting the `HISHTORY_PATH` environment variable to a path relative to your home directory (e.g. `export HISHTORY_PATH=.config/hishtory`). This must be set both when you install hiSHtory and when you use hiSHtory, so it is recommend to set it in your `.bashrc`/`.zshrc`/`.fishrc` before installing hiSHtory. Viewing debug logs Debug logs are stored in `~/.hishtory/hishtory.log`. If you run into any issues, these may contain useful information. Uninstalling If you'd like to uninstall hishtory, just run `hishtory uninstall`. Note that this deletes the SQLite DB storing your history, so consider running a `hishtory export` first. Note that if you're experiencing any issues with hiSHtory, try running `hishtory update` first! Performance and reliability is always improving, and we highly value [your feedback](https://github.com/ddworken/hishtory/issues). Design The hishtory CLI is written in Go. It hooks into the shell in order to track information about all commands that are run. It takes this data and saves it in a local SQLite DB managed via GORM . This data is then encrypted and sent to your other devices through a backend that essentially functions as a one-to-many queue. When you press press Control+R or run hishtory query , a SQL query is run to find matching entries in the local SQLite DB. Syncing Design See hiSHtory: Cross-device Encrypted Syncing Design to learn how syncing works. The tl;dr is that everything magically works so that: The backend can't read your history. Your history is queryable from all your devices. You can delete items from your history as needed. If you go offline, you'll have an offline copy of your history. And once you come back online, syncing will transparently resume. Contributing Contributions are extremely welcome! I appreciate all contributions in terms of both issues (please let me know about any bugs you find!) and PRs. If you're making code contributions, check out make help for some information on some useful commands. Namely, note that my general dev workflow consists of: Make some local changes (e.g. to fix a bug or add a new feature) Run make local-install to build and install your local version (note that this won't mess up your current hishtory DB!) ... Repeat until you're happy with your change ... Write some tests for your change. Unit tests are great, but we also have a large number of integration tests in client_test.go Note that the hishtory tests are quite thorough, so running them locally is quite time consuming (and some of them only work on Github Actions). Instead, I recommend using make ftest (see make help for information on this) to run the specific tests that you're adding/changing. Open a PR on Github! Once you open the PR, I'll take a look and will trigger Github Actions to run all the tests which will ensure that your change doesn't lead to any reggressions. [Optional] If you want to switch back to the latest released version (rather than your local change), run hishtory update Merge the PR! :tada: Security hishtory is a CLI tool written in Go and uses AES-GCM for end-to-end encrypting your history entries and syncing them. The binary is reproducibly built and SLSA Level 3 to make it easy to verify you're getting the code contained in this repository. This all ensures that the minimalist backend cannot read your shell history, it only sees encrypted data. hiSHtory also respects shell conventions and will not record any commands prefixed with a space. If you find any security issues in hiSHtory, please reach out to david@daviddworken.com .

Your shell history: synced, queryable, and in context

bash,cli,history,zsh,fish,shell,golang

riok/mapperly

Mapperly Mapperly is a .NET source generator for generating object mappings. Because Mapperly creates the mapping code at build time, there is minimal overhead at runtime. Even better, the generated code is perfectly readable, allowing you to verify the generated mapping code easily. Documentation The documentation is available here . Quickstart Installation Add the NuGet Package to your project: bash dotnet add package Riok.Mapperly Create your first mapper Create a mapper declaration as a partial class and apply the Riok.Mapperly.Abstractions.MapperAttribute attribute. Mapperly generates mapping method implementations for the defined mapping methods in the mapper. ```c# // Mapper declaration [Mapper] public partial class CarMapper { public partial CarDto CarToCarDto(Car car); } // Mapper usage var mapper = new CarMapper(); var car = new Car { NumberOfSeats = 10, ... }; var dto = mapper.CarToCarDto(car); dto.NumberOfSeats.Should().Be(10); ``` Read the docs for any further information. Upgrading Find a list of breaking changes for each major version and upgrade guides here . How To Contribute We would love for you to contribute to Mapperly and help make it even better than it is today! Find information on how to contribute in the docs . License Mapperly is Apache 2.0 licensed.

A .NET source generator for generating object mappings. No runtime reflection.

csharp-sourcegenerator,mapping,csharp,roslyn,dotnet,dotnet-core,c-sharp,hacktoberfest

ReVanced/revanced-patcher

Continuing the legacy of Vanced 💉 ReVanced Patcher ReVanced Patcher used to patch Android applications. ❓ About ReVanced Patcher is a library that is used to patch Android applications. It powers ReVanced Manager , ReVanced CLI and ReVanced Library and a rich set of patches have been developed using ReVanced Patcher in the ReVanced Patches repository. 💪 Features Some of the features the ReVanced Patcher provides are: 🔧 Patch Dalvik VM bytecode : Disassemble and assemble Dalvik bytecode 📦 Patch APK resources : Decode and build Android APK resources 📂 Patch arbitrary APK files : Read and write arbitrary files directly from and to APK files 🧩 Write modular patches : Extensive API to write modular patches that can patch Dalvik VM bytecode, APK resources and arbitrary APK files 🚀 How to get started To use ReVanced Patcher in your project, follow these steps: Add the repository to your project Add the dependency to your project: kt dependencies { implementation("app.revanced:revanced-patcher:{$version}") } For a minimal project configuration, see ReVanced Patches template . 📚 Everything else 📙 Contributing Thank you for considering contributing to ReVanced Patcher. You can find the contribution guidelines here . 🛠️ Building To build ReVanced Patcher, you can follow the ReVanced documentation . 📃 Documentation The documentation contains the fundamentals of ReVanced Patcher and how to use ReVanced Patcher to create patches. You can find it here . 📜 Licence ReVanced Patcher is licensed under the GPLv3 license. Please see the licence file for more information. tl;dr you may copy, distribute and modify ReVanced Patcher as long as you track changes/dates in source files. Any modifications to ReVanced Patcher must also be made available under the GPL, along with build & install instructions.

💉 ReVanced Patcher used to patch Android applications

revanced,patcher,android,reverse-engineering,dalvik,aapt,smali,android-runtime,kotln,kotlin

matschik/component-party.dev

Web component JS frameworks quick overview by their syntax and features Website: https://component-party.dev 🤔 Why ? Many JS developers don't have a good overview of every existing JS framework with their own syntax and features. How do we solve this ? Developers love having framework overview by examples. It's a quick introduction before going deeper. 🔥 Progression Svelte 4 - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing React - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing Vue 3 - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing Angular - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [ ] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [ ] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing Lit - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing Vue 2 - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing Ember (Polaris - preview) - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [ ] Webapp features - [ ] Render app - [ ] Fetch data - [ ] Router link - [ ] Routing Ember (Octane) - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [ ] Webapp features - [ ] Render app - [x] Fetch data - [x] Router link - [x] Routing SolidJS - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing Alpine - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [ ] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [ ] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing Mithril - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing Aurelia 2 - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing Qwik - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing Marko - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing Aurelia 1 - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [ ] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [ ] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [ ] Webapp features - [ ] Render app - [x] Fetch data - [x] Router link - [x] Routing Svelte 5 (preview) - [x] Reactivity - [x] Declare state - [x] Update state - [x] Computed state - [x] Templating - [x] Minimal template - [x] Styling - [x] Loop - [x] Event click - [x] Dom ref - [x] Conditional - [x] Lifecycle - [x] On mount - [x] On unmount - [x] Component composition - [x] Props - [x] Emit to parent - [x] Slot - [x] Slot fallback - [x] Context - [x] Form input - [x] Input text - [x] Checkbox - [x] Radio - [x] Select - [x] Webapp features - [x] Render app - [x] Fetch data - [x] Router link - [x] Routing 🤝 Contributing This site is built with Vite and Svelte . Site content is written in Markdown format located in content . For simple edits, you can directly edit the file on GitHub and generate a Pull Request. For local development, pnpm is preferred as package manager: bash pnpm i pnpm run dev This project requires Node.js to be v16.0.0 or higher. Principle when add/edit a framework snippet Clarity is better than optimization for Component Party In Component Party, we prioritize clarity over optimization as our core educational focus. We aim to simplify complex overviews of different JS frameworks for easy understanding, rather than presenting over-optimized solutions. We believe that deep understanding should precede optimization, enabling learners to master the frameworks' use and discover optimization techniques independently. This approach aligns with our commitment to fostering accessible and effective learning in the field of web component JavaScript frameworks. Add a new framework Fork the project and create a new branch Add the new framework SVG logo in public/framework Install the ESLint plugin associated to the framework In frameworks.mjs , add a new entry with SVG link and ESLint configuration If the framework needs a language syntax highlight, add it to the call to getHighlighter ’s langs argument in build/lib/generateContent.js To make a playground link: Add a create${FRAMEWORK}Playground.js file in build/lib/playground . That file should export a function that returns an object with a fromContentByFilename method that accepts an object of filepath keys and file content values, then returns an absolute URL to a framework’s online REPL with those files loaded. Register its export in build/lib/playground/index.js 🧑‍💻 Contributors This project exists thanks to all the people who contribute. [ Contribute ]. ⚖️ License MIT. Made with 💖

🎉 Web component JS frameworks overview by their syntax and features

react,svelte,vue,angular,solidjs,alpine,lit,ember,qwik,aurelia

cheatsnake/backend-cheats

This repository is a visual cheatsheet on the main topics in Backend-development. All material is divided into chapters that include different topics. There are three main parts to each topic: Visual part - various images/tables/cheatsheets for better understanding (may not be available). All pictures and tables are made from scratch, specifically for this repository. Summary - A very brief summary with a list of key terms and concepts. The terms are hyperlinked to the appropriate section on Wikipedia or a similar reference resource. References to sources - resources where you may find complete information on a particular issue (they are hidden under a spoiler, which opens when clicked). If possible, the most authoritative sources are indicated, or those that provide information in as simple and comprehensible language as possible. 🌐 Available translations: English Русский 🤝 If you want to help the project, feel free to send your issues or pull requests . 🌙 For better experiense enable dark theme . Contents - [Network & Internet](#network--internet) * [How the Internet works](#how-the-internet-works) * [What is a domain name](#what-is-a-domain-name) * [IP address](#ip-address) * [What is DNS](#what-is-dns) * [Web application design](#web-application-design) * [Browsers and how they work](#browsers-and-how-they-work) * [VPN and Proxy](#vpn-and-proxy) * [Hosting](#hosting) * [OSI network model](#osi-network-model) * [HTTP Protocol](#http-protocol) * [TCP/IP stack](#tcpip-stack) * [Network problems](#network-problems) * [Network diagnostics](#network-diagnostics) - [PC device](#pc-device) * [Main components (hardware)](#main-components-hardware) * [Operating system design](#operating-system-design) * [Processes and threads](#processes-and-threads) * [Concurrency and parallelism](#concurrency-and-parallelism) * [Inter-process communication](#inter-process-communication) - [Linux basics](#linux-basics) * [Working with shell](#working-with-shell) * [Package manager](#package-manager) * [Bash scripts](#bash-scripts) * [Users, groups and permissions](#users-groups-and-permissions) * [Working with processes](#working-with-processes) * [Working with SSH](#working-with-ssh) * [Network utils](#network-utils) * [Task scheduler](#task-scheduler) * [System logs](#system-logs) * [Main issues with Linux](#main-issues-with-linux) - [General knowledge](#general-knowledge) * [Numeral systems](#numeral-systems) * [Logical connective](#logical-connective) * [Data structures](#data-structures) * [Basic algorithms](#basic-algorithms) * [Algorithm complexity](#algorithm-complexity) * [Data storage formats](#data-storage-formats) * [Text encodings](#text-encodings) - [Programming Language](#programming-language) * [Classification of programming languages](#classification-of-programming-languages) * [Language Basics](#language-basics) * [Object-oriented programming](#object-oriented-programming) * [Server development](#server-development) * [Asynchronous programming](#asynchronous-programming) * [Multitasking](#multitasking) * [Advanced Topics](#advanced-topics) * [Code quality](#code-quality) - [Databases](#databases) * [Database classification](#database-classification) * [Relational database](#relational-database) * [MongoDB](#mongodb) * [Redis](#redis) * [ACID Requirements](#acid-requirements) * [Designing databases](#designing-databases) - [API development](#api-development) * [REST API](#rest-api) * [GraphQL](#graphql) * [WebSockets](#websockets) * [RPC (Remote Procedure Call)](#rpc-remote-procedure-call) * [WebRTC](#webrtc) - [Software](#security) * [Git version control system](#git-version-control-system) * [Docker](#docker) * [Postman/Insomnia](#postmaninsomnia) * [Web servers](#web-servers) * [Message brokers](#message-brokers) * [Ngrok](#ngrok) * [AI tools](#ai-tools) - [Security](#security) * [Web application vulnerabilities](#web-application-vulnerabilities) * [Environment variables](#environment-variables) * [Hashing](#hashing) * [Authentication and authorization](#authentication-and-authorization) * [SSL/TLS](#ssltls) - [Testing](#testing) * [Unit Tests](#unit-tests) * [Integration tests](#integration-tests) * [E2E tests](#e2e-tests) * [Load testing](#load-testing) * [Regression testing](#regression-testing) - [Deployment (CI/CD)](#deployment-cicd) * [Cloud services](#cloud-services) * [Container orchestration](#container-orchestration) * [Automation tools](#automation-tools) * [Monitoring and logs](#monitoring-and-logs) - [Optimization](#optimization) * [Profiling](#profiling) * [Benchmarks](#benchmarks) * [Caching](#caching) * [Load balancing](#load-balancing) - [Documentation](#documentation) * [Markdown](#markdown) * [Documentation inside code](#documentation-inside-code) * [API Documentation](#api-documentation) * [Static generators](#static-generators) - [Building Architecture](#building-architecture) * [Architectural Patterns](#architectural-patterns) * [Design patterns](#design-patterns) * [Monolithic and microservice architecture](#monolithic-and-microservice-architecture) * [Horizontal and vertical scaling](#horizontal-and-vertical-scaling) - [Additional and similar resources](#additional-and-similar-resources) Network & Internet Internet is a worldwide system that connects computer networks from around the world into a single network for storing/transferring information. The Internet was originally developed for the military. But soon it began to be implemented in universities, and then it could be used by private companies, which began to organize networks of providers that provide Internet access services to ordinary citizens. By early 2020, the number of Internet users exceeded 4.5 billion. How the Internet works Your computer does not have direct access to the Internet. Instead, it has access to your local network to which other devices are connected via a wired ( Ethernet ) or wireless (Wi-Fi) connection. The organizer of such a network is a special minicomputer - router . This device connects you to your Internet Service Provider (ISP) , which in turn is connected to other higher-level ISPs. Thus, all these interactions make up the Internet, and your messages always transit through different networks before reaching the final recipient. Host > Any device that is on any network. Server > A special computer on the network that serves requests from other computers. Network topologies > There are several topologies (ways of organizing a network): Point to point , Daisy chain , Bus , Ring , Star and Mesh . The Internet itself cannot be referred to any one topology, because it is an incredibly complex system mixed with different topologies. 🔗 References 1. 📄 [**How does the Internet work?** – MDN](https://developer.mozilla.org/en-US/docs/Learn/Common_questions/How_does_the_Internet_work) 2. 📺 [**How does the internet work? (Full Course)** – YouTube](https://youtu.be/zN8YNNHcaZc) 3. 📺 [**What is a Server? Servers vs Desktops Explained** – YouTube](https://youtu.be/UjCDWCeHCzY) 4. 📺 [**Network Topology** – YouTube](https://youtu.be/lnFeG4DOMcE) 5. 📺 [**Network Topologies (Star, Bus, Ring, Mesh, Ad hoc, Infrastructure, & Wireless Mesh Topology)** – YouTube](https://youtu.be/zbqrNg4C98U) Contents ⬆️ What is a domain name Domain Names are human-readable addresses of web servers available on the Internet. They consist of parts (levels) separated from each other by a dot. Each of these parts provides specific information about the domain name. For example country, service name, localization, etc. Who owns domain names > The ICANN Corporation is the founder of the distributed domain registration system. It gives accreditations to companies that want to sell domains. In this way a competitive domain market is formed. How to buy a domain name > A domain name cannot be bought forever. It is leased for a certain period of time. It is better to buy domains from accredited registrars (you can find them in almost any country). 🔗 References 1. 📄 [**What is a Domain Name?** – MDN](https://developer.mozilla.org/en-US/docs/Learn/Common_questions/What_is_a_domain_name) 2. 📺 [**A Beginners Guide to How Domain Names Work!** – YouTube](https://youtu.be/Y4cRx19nhJk) Contents ⬆️ IP address IP address is a unique numeric address that is used to recognize a particular device on the network. Levels of visibility > - External and publicly accessible IP address that belongs to your ISP and is used to access the Internet by hundreds of other users. > - The IP address of your router in your ISP's local network, the same IP address from which you access the Internet. > - The IP address of your computer in the local (home) network created by the router, to which you can connect your devices. Typically, it looks like 192.168.XXX.XXX. > - The internal IP address of the computer, inaccessible from the outside and used only for communication between the running processes. It is the same for everyone - 127.0.0.1 or just localhost . Port > One device (computer) can run many applications that use the network. In order to correctly recognize where and which data coming over the network should be delivered (to which of the applications) a special numerical number - a port is used. That is, each running process on a computer which uses a network connection has its own personal port. IPv4 > Version 4 of the IP protocol. It was developed in 1981 and limits the address space to about 4.3 billion (2^32) possible unique addresses. IPv6 > Over time, the allocation of address space began to happen at a much faster rate, forcing the creation of a new version of the IP protocol to store more addresses. IPv6 is capable of issuing 2^128 (is huge number) unique addresses. 🔗 References 1. 📺 [**IP addresses. Explained** – YouTube](https://youtu.be/7_-qWlvQQtY) 2. 📺 [**Public IP vs. Private IP and Port Forwarding (Explained by Example)** – YouTube](https://youtu.be/92b-jjBURkw) 3. 📺 [**Network Ports Explained** – YouTube](https://youtu.be/g2fT-g9PX9o) 4. 📺 [**What is IP address and types of IP address - IPv4 and IPv6** – YouTube](https://youtu.be/8npT9AALbrI) 5. 📺 [**IP Address - IPv4 vs IPv6 Tutorial** – YouTube](https://youtu.be/ThdO9beHhpA) 6. 📄 [**IP Address Subnet Cheat Sheet** – freeCodeCamp](https://www.freecodecamp.org/news/subnet-cheat-sheet-24-subnet-mask-30-26-27-29-and-other-ip-address-cidr-network-references/) Contents ⬆️ What is DNS DNS (Domain Name System) is a decentralized Internet address naming system that allows you to create human-readable alphabetic names (domain names) corresponding to the numeric IP addresses used by computers. Structure of DNS > DNS consists of many independent nodes, each of which stores only those data that fall within its area of responsibility. DNS Resolver > A server that is located in close proximity to your Internet Service Provider. It is the server that searches for addresses by domain name, and also caches them (temporarily storing them for quick retrieval in future requests). DNS record types > - A record - associates the domain name with an IPv4 address. > - AAAA record - links a domain name with an IPv6 address. > - CNAME record - redirects to another domain name. > - and others - MX record, NS record, PTR record, SOA record. 🔗 References 1. 📄 [**What is DNS? Domain Name System explained** – freeCodeCamp](https://www.freecodecamp.org/news/what-is-dns/) 2. 📺 [**DNS (Domain Name System) explained. Types of Domain Name Servers** – YouTube](https://youtu.be/JkEYOt08-rU) 3. 📺 [**DNS as Fast As Possible** – YouTube](https://youtu.be/Rck3BALhI5c) 4. 📄 [**All about DNS records** – Cloudflare](https://www.cloudflare.com/learning/dns/dns-records/) 5. 📺 [**DNS records explained (playlist)** – YouTube](https://youtube.com/playlist?list=PL_vyuxE-AO-DD94NKcCqd4iqwy5ah_pwq) Contents ⬆️ Web application design Modern web applications consist of two parts: Frontend and Backend . Thus implementing a client-server model . The tasks of the Frontend are: Implementation of the user interface (appearance of the application) > - A special markup language HTML is used to create web pages. > - CSS style language is used to style fonts, layout of content, etc. > - JavaScript programming language is used to add dynamics and interactivity. > As a rule, these tools are rarely used in their pure form, as so-called frameworks and preprocessors exist for more convenient and faster development. Creating functionality for generating requests to the server > These are usually different types of input forms that can be conveniently interacted with. Receives data from the server and then processes it for output to the client Tasks of the Backend: Handling client requests > Checking for permissions and access, all sorts of validations, etc. Implementing business logic > A wide range of tasks can be implied here: working with databases, information processing, computation, etc. This is, so to speak, the heart of the Backend world. This is where all the important and interesting stuff happens. Generating a response and sending it to the client 🔗 References 1. 📄 [**Front-End vs. Back-End explained**](https://blog.teamtreehouse.com/i-dont-speak-your-language-frontend-vs-backend) 2. 📺 [**Everything You NEED to Know About WEB APP Architecture** – YouTube](https://youtu.be/sDlCSIDwpDs) Contents ⬆️ Browsers and how they work Browser is a client which can be used to send requests to a server for files which can then be used to render web pages. In simple terms, a browser can be thought of as a program for viewing HTML files, which can also search for and download them from the Internet. Working Principle > Query handling, page rendering, and the tabs feature (each tab has its own process to prevent the contents of one tab from affecting the contents of the other). Extensions > Allow you to change the browser's user interface, modify the contents of web pages, and modify the browser's network requests. Chrome DevTools > An indispensable tool for any web developer. It allows you to analyze all possible information related to web pages, monitor their performance, logs and, most importantly for us, track information about network requests. 🔗 References 1. 📄 [**How browsers work** – MDN](https://developer.mozilla.org/en-US/docs/Web/Performance/How_browsers_work) 2. 📄 [**How browsers work: Behind the scenes of modern web browsers** – web.dev](https://web.dev/howbrowserswork/) 3. 📄 [**Inside look at modern web browser** – Google](https://developer.chrome.com/blog/inside-browser-part1/) 4. 📺 [**What is a web browser?** – YouTube](https://youtu.be/QzohDuGk4mM) 5. 📺 [**Anatomy of the browser 101 (Chrome University 2019)** – YouTube](https://youtu.be/PzzNuCk-e0Y) 6. 📺 [**Chrome DevTools - Crash Course** – YouTube](https://youtu.be/gTVpBbFWry8) 7. 📺 [**Demystifying the Browser Networking Tab in DevTools** – YouTube](https://youtu.be/LBgfSwX4GDI) 8. 📺 [**21+ Browser Dev Tools & Tips You Need To Know** – YouTube](https://youtu.be/TcTSqhpm80Y) Contents ⬆️ VPN and Proxy The use of VPNs and Proxy is quite common in recent years. With the help of these technologies, users can get basic anonymity when surfing the web, as well as bypass various regional blockages. VPN (Virtual Private Network) > A technology that allows you to become a member of a private network (similar to your local network), where requests from all participants go through a single public IP address. This allows you to blend in with the general mass of requests from other participants. > > - Simple procedure for connection and use. > - Reliable traffic encryption. > - There is no guarantee of 100% anonymity, because the owner of the network knows the IP-addresses of all participants. > - VPNs are useless for dealing with multi-accounts and some programs because all accounts operating from the same VPN are easily detected and blocked. > - Free VPNs tend to be heavily loaded, resulting in unstable performance and slow download speeds. Proxy (proxy server) > A proxy is a special server on the network that acts as an intermediary between you and the destination server you intend to reach. When you are connected to a proxy server all your requests will be performed on behalf of that server, that is, your IP address and location will be substituted. > > - The ability to use an individual IP address, which allows you to work with multi-accounts. > - Stability of the connection due to the absence of high loads. > - Connection via proxy is provided in the operating system and browser, so no additional software is required. > - There are proxy varieties that provide a high level of anonymity. > - The unreliability of free solutions, because the proxy server can see and control everything you do on the Internet. 🔗 References 1. 📄 [**What is VPN? How It Works, Types of VPN** – kaspersky.com](https://www.kaspersky.com/resource-center/definitions/what-is-a-vpn) 2. 📺 [**VPN (Virtual Private Network) Explained** – YouTube](https://youtu.be/R-JUOpCgTZc) 3. 📺 [**What Is a Proxy and How Does It Work?** – YouTube](https://youtu.be/ayo2EUPTEkE) 4. 📺 [**What is a Proxy Server?** – YouTube](https://youtu.be/5cPIukqXe5w) 5. 📺 [**Proxy vs. Reverse Proxy (Explained by Example)** – YouTube](https://youtu.be/ozhe__GdWC8) 6. 📺 [**VPN vs Proxy Explained Pros and Cons** – YouTube](https://youtu.be/npnqyRT77Zc) Contents ⬆️ Hosting Hosting is a special service provided by hosting providers, which allows you to rent space on a server (which is connected to the Internet around the clock), where your data and files can be stored. There are different options for hosting, where you can use not only the disk space of the server, but also the CPU power to run your network applications. Virtual hosting > One physical server that distributes its resources to multiple tenants. VPS/VDS > Virtual servers that emulate the operation of a separate physical server and are available for rent to the client with maximum privileges. Dedicated server > Renting a full physical server with full access to all resources. As a rule, this is the most expensive service. Cloud hosting > A service that uses the resources of several servers. When renting, the user pays only for the actual resources used. Colocation > A service that gives the customer the opportunity to install their equipment on the provider's premises. 🔗 References 1. 📄 [**What is Web Hosting?** – namecheap.com](https://www.namecheap.com/hosting/what-is-web-hosting-definition/) 2. 📺 [**What is Web Hosting and How Does It Work?** – YouTube](https://youtu.be/H8oAvyqQwew) 3. 📺 [**Different Hosting Types Explained** – YouTube](https://youtu.be/CtNWVmt9U1M) 4. 📄 [**Awesome Hosting** – GitHub](https://github.com/dalisoft/awesome-hosting) Contents ⬆️ OSI network model | № | Level | Used protocols | | --- | ------------------ | -------------------- | | 7 | Application layer | HTTP, DNS, FTP, POP3 | | 6 | Presentation layer | SSL, SSH, IMAP, JPEG | | 5 | Session layer | APIs Sockets | | 4 | Transport layer | TCP, UDP | | 3 | Network layer | IP, ICMP, IGMP | | 2 | Data link layer | Ethernet, MAC, HDLC | | 1 | Physical layer | RS-232, RJ45, DSL | OSI (The Open Systems Interconnection model) is a set of rules describing how different devices should interact with each other on the network. The model is divided into 7 layers, each of which is responsible for a specific function. All this is to ensure that the process of information exchange in the network follows the same pattern and all devices, whether it is a smart fridge or a smartphone, can understand each other without any problems. Physical layer > At this level, bits (ones/zeros) are encoded into physical signals (current, light, radio waves) and transmitted further by wire ( Ethernet ) or wirelessly ( Wi-Fi ). Data link layer > Physical signals from layer 1 are decoded back into ones and zeros, errors and defects are corrected, and the sender and receiver MAC addresses are extracted. Network layer > This is where traffic routing, DNS queries and IP packet generation take place. Transport layer > The layer responsible for data transfer. There are two important protocols: > > - TCP is a protocol that ensures reliable data transmission. TCP guarantees data delivery and preserves the order of the messages. This has an impact on the transmission speed. This protocol is used where data loss is unacceptable, such as when sending mail or loading web pages. > - UDP is a simple protocol with fast data transfer. It does not use mechanisms to guarantee the delivery and ordering of data. It is used e.g. in online games where partial packet loss is not crucial, but the speed of data transfer is much more important. Also, requests to DNS servers are made through UDP protocol. Session layer > Responsible for opening and closing communications (sessions) between two devices. Ensures that the session stays open long enough to transfer all necessary data, and then closes quickly to avoid wasting resources. Presentation layer > Transmission, encryption/decryption and data compression. This is where data that comes in the form of zeros and ones are converted into desired formats (PNG, MP3, PDF, etc.) Application layer > Allows the user's applications to access network services such as database query handler, file access, email forwarding. 🔗 References 1. 📄 [**Layers of OSI Model** – geeksForGeeks](https://www.geeksforgeeks.org/layers-of-osi-model/) 2. 📺 [**The OSI Model - Explained by Example** – YouTube](https://youtu.be/7IS7gigunyI) 3. 📺 [**TCP vs UDP Crash Course** – YouTube](https://youtu.be/qqRYkcta6IE) Contents ⬆️ HTTP Protocol HTTP (HyperText Transport Protocol) is the most important protocol on the Internet. It is used to transfer data of any format. The protocol itself works according to a simple principle: request -> response. Structure of HTTP messages > HTTP messages consist of a header section containing metadata about the message, followed by an optional message body containing the data being sent. Headers > Additional service information that is sent with the request/response. > Common headers: Host , User-Agent , If-Modified-Since , Cookie , Referer , Authorization , Cache-Control , Content-Type , Content-Length , Last-Modified , Set-Cookie , Content-Encoding . Request methods > Main: GET , POST , PUT , DELETE . Others: HEAD , CONNECT , OPTIONS , TRACE , PATCH . Response status codes > Each response from the server has a special numeric code that characterizes the state of the sent request. These codes are divided into 5 main classes: > - 1хх - Service information > - 2хх - Successful request > - 3хх - Redirect to another address > - 4хх - Client side error > - 5хх - Server side error HTTPS > Same HTTP, but with encryption support. Your apps should use HTTPS to be secure. Cookie > The HTTP protocol does not provide the ability to save information about the status of previous requests and responses. Cookies are used to solve this problem. Cookies allow the server to store information on the client side that the client can send back to the server. For example, cookies can be used to authenticate users or to store various settings. CORS (Cross origin resource sharing) > A technology that allows one domain to securely receive data from another domain. CSP (Content Security Policy) > A special header that allows you to recognize and eliminate certain types of web application vulnerabilities. Evolution of HTTP > - HTTP 1.0 : Uses separate connections for each request/response, lacks caching support, and has plain text headers. > - HTTP 1.1 : Introduces persistent connections, pipelining, the Host header, and chunked transfer encoding. > - HTTP 2 : Supports multiplexing, header compression, server push, and support a binary data. > - HTTP 3 : Built on QUIC , offers improved multiplexing, reliability, and better performance over unreliable networks. 🔗 References 1. 📄 [**How HTTP Works and Why it's Important** – freeCodeCamp](https://www.freecodecamp.org/news/how-the-internet-works/) 2. 📄 [**Hypertext Transfer Protocol (HTTP)** – MDN](https://developer.mozilla.org/en-US/docs/Web/HTTP) 3. 📺 [**Hyper Text Transfer Protocol Crash Course** – YouTube](https://youtu.be/0OrmKCB0UrQ) 4. 📺 [**Full HTTP Networking Course (5 hours)** – YouTube](https://youtu.be/2JYT5f2isg4) 5. 📄 [**HTTP vs HTTPS – What's the Difference?** – freeCodeCamp](https://www.freecodecamp.org/news/http-vs-https/) 6. 📺 [**HTTP Cookies Crash Course** – YouTube](https://youtu.be/sovAIX4doOE) 7. 📺 [**Cross Origin Resource Sharing (Explained by Example)** – YouTube](https://youtu.be/Ka8vG5miErk) 8. 📺 [**When to use HTTP GET vs POST?** – YouTube](https://youtu.be/K8HJ6DN23zI) 9. 📺 [**How HTTP/2 Works, Performance, Pros & Cons and More** – YouTube](https://youtu.be/fVKPrDrEwTI) 10. 📺 [**HTTP/2 Critical Limitation that led to HTTP/3 & QUIC** – YouTube](https://youtu.be/GriONb4EfPY) 11. 📺 [**304 Not Modified HTTP Status (Explained with Code Example and Pros & Cons)** – YouTube](https://youtu.be/0QHmHR55_Lo) 12. 📺 [**What is the Largest POST Request the Server can Process?** – YouTube](https://youtu.be/0QHmHR55_Lo) Contents ⬆️ TCP/IP stack Compared to the OSI model , the TCP/IP stack has a simpler architecture. In general, the TCP/IP model is more widely used and practical, and the OSI model is more theoretical and detailed. Both models describe the same principles, but differ in the approach and protocols they include at their levels. Link layer > Defines how data is transmitted over the physical medium, such as cables or wireless signals. > Protocols: Ethernet , Wi-Fi , Bluetooth , Fiber optic . Internet Layer > Routing data across different networks. It uses IP addresses to identify devices and routes data packets to their destination. > Protocols: IP , ARP , ICMP , IGMP Transport Layer > Data transmission between two devices. It uses protocols such as TCP - reliable, but slow and UDP - fast, but unreliable. Application Layer > Provides services to the end user, such as web browsing, email, and file transfer. It interacts with the lower layers of the stack to transmit data over the network. > Protocols: HTTP , FTP , SMTP , DNS , SNMP . 🔗 References 1. 📄 [**What is the TCP/IP Model? Layers and Protocols Explained** – freeCodeCamp](https://www.freecodecamp.org/news/what-is-tcp-ip-layers-and-protocols-explained/) 2. 📺 [**What is TCP/IP?** – YouTube](https://youtu.be/PpsEaqJV_A0) 3. 📺 [**How TCP really works. Three-way handshake. TCP/IP Deep Dive** – YouTube](https://youtu.be/rmFX1V49K8U) Contents ⬆️ Network problems The quality of networks, including the Internet, is far from ideal. This is due to the complex structure of networks and their dependence on a huge number of factors. For example, the stability of the connection between the client device and its router, the quality of service of the provider, the power and performance of the server, the physical distance between the client and the server, etc. Latency > The time it takes for a data packet to travel from sender to receiver. It depends more on the physical distance. Packet loss > Not all packets traveling over the network can reach their destination. This happens most often when using wireless networks or due to network congestion . Round Trip Time (RTT) > The time it takes for the data packet to reach its destination + the time to respond that the packet was received successfully. Jitter > Delay fluctuations, unstable ping (for example, 50ms, 120ms, 35ms...). Packet reordering > The IP protocol does not guarantee that packets are delivered in the order in which they are sent. 🔗 References 1. 📄 [**Understanding latency** – MDN](https://developer.mozilla.org/en-US/docs/Web/Performance/Understanding_latency) 2. 📺 [**What is latency? What affects latency?** – YouTube](https://youtu.be/epAXDsq5SbE) 3. 📺 [**Basics of network bandwidth, latency, and jitter** – YouTube](https://youtu.be/WdbJdUh6W08) 4. 📺 [**Round Trip Time (RTT)** – YouTube](https://youtu.be/nT9F-USjtBg) 5. 📺 [**What Causes Packet Loss and How to Eliminate It In Your Network** – YouTube](https://youtu.be/Cg656nGbXe4) Contents ⬆️ Network diagnostics Traceroute > A procedure that allows you to trace to which nodes, with which IP addresses, a packet you send before it reaches its destination. Tracing can be used to identify computer network related problems and to examine/analyze the network. Ping scan > The easiest way to check the server for performance. Checking for packet loss > Due to dropped connections, not all packets sent over the network reach their destination. Wireshark > A powerful program with a graphical interface for analyzing all traffic that passes through the network in real time. 🔗 References 1. 📺 [**How does traceroute work?** – YouTube](https://youtu.be/G05y9UKT69s) 2. 📺 [**Traceroute (tracert) Explained - Network Troubleshooting** – YouTube](https://youtu.be/up3bcBLZS74) 3. 📺 [**Nmap - Host Discovery With Ping Sweep** – YouTube](https://youtu.be/LvCDaftsMwI) 4. 📺 [**Internet Troubleshooting - Pathping Packet Loss** – YouTube](https://youtu.be/VPdotNIXOgI) 5. 📺 [**Wireshark crash course (playlist)** – YouTube](https://youtube.com/playlist?list=PLBf0hzazHTGPgyxeEj_9LBHiqjtNEjsgt) Contents ⬆️ PC device Main components (hardware) Motherboard > The most important PC component to which all other elements are connected. > > - Chipset - set of electronic components that responsible for the communication of all motherboard components. > - CPU socket - socket for mounting the processor. > - VRM (Voltage Regulator Module) – module that converts the incoming voltage (usually 12V) to a lower voltage to run the processor, integrated graphics, memory, etc. > - Slots for RAM. > - Expansion slots PCI-Express - designed for connection of video cards, external network/sound cards. > - Slots M.2 / SATA - designed to connect hard disks and SSDs. CPU (Central processing unit) > The most important device that executes instructions (programme code). Processors only work with 1 and 0, so all programmes are ultimately a set of binary code. > > - Registers - the fastest memory in a PC, has an extremely small capacity, is built into the processor and is designed to temporarily store the data being processed. > - Cache - slightly less fast memory, which is also built into the processor and is used to store a copy of data from frequently used cells in the main memory. > - Processors can have different architectures . Currently, the most common are the x86 architecture (desktop and laptop computers) and ARM (mobile devices as well as the latest Apple computers). RAM (Random-access memory) > Fast, low capacity memory (4-16GB) designed to temporarily store program code, as well as input, output and intermediate data processed by the processor. Data storage > Large capacity memory (256GB-1TB) designed for long-term storage of files and installed programmes. GPU (Graphics card) > A separate card that translates and processes data into images for display on a monitor. This device is also called a discrete graphics card. Usually needed for those who do 3D modelling or play games. Built-in graphics card is a graphics card built into the processor. It is suitable for daily work. Network card > A device that receives and transmits data from other devices connected to the local network . Sound card > A device that allows you to process sound, output it to other devices, record it with a microphone, etc. Power supply unit > A device designed to convert the AC voltage from the mains to DC voltage. 🔗 References 1. 📄 [**Everything You Need to Know About Computer Hardware**](https://www.lifewire.com/computer-hardware-2625895) 2. 📄 [**Putting the "You" in CPU: explainer how your computer runs programs, from start to finish**](https://github.com/hackclub/putting-the-you-in-cpu) 3. 📺 [**What does what in your computer? Computer parts Explained** – YouTube](https://youtu.be/ExxFxD4OSZ0) 4. 📺 [**Motherboards Explained** – YouTube](https://youtu.be/b2pd3Y6aBag) 5. 📺 [**The Fetch-Execute Cycle: What's Your Computer Actually Doing?** – YouTube](https://youtu.be/Z5JC9Ve1sfI) 6. 📺 [**How a CPU Works in 100 Seconds // Apple Silicon M1 vs Intel i9** – YouTube](https://youtu.be/vqs_0W-MSB0) 7. 📺 [**Arm vs x86 - Key Differences Explained** – YouTube](https://youtu.be/AADZo73yrq4) Contents ⬆️ Operating system design Operating system (OS) is a comprehensive software system designed to manage a computer's resources. With operating systems, people do not have to deal directly with the processor, RAM or other parts of the PC. OS can be thought of as an abstraction layer that manages the hardware of a computer, thereby providing a simple and convenient environment for user software to run. Main features > - RAM management (space allocation for individual programms) > - Loading programms into RAM and their execution > - Execution of requests from user's programms (inputting and outputting data, starting and stopping other programms, freeing up memory or allocating additional memory, etc.) > - Interaction with input and output devices (mouse, keyboard, monitor, etc.) > - Interaction with storage media (HDDs and SSDs) > - Providing a user's interface (console shell or graphical interface) > - Logging of software errors (saving logs) Additional functions (may not be available in all OSs) > - Organise multitasking (simultaneous execution of several programms) > - Delimiting access to resources for each process > - Inter-process communication (data exchange, synchronisation) > - Organise the protection of the operating system itself against other programms and the actions of the user > - Provide multi-user mode and differentiate rights between different OS users (admins, guests, etc.) OS kernel > The central part of the operating system which is used most intensively. The kernel is constantly in memory, while other parts of the OS are loaded into and unloaded from memory as needed. Bootloader > The system software that prepares the environment for the OS to run (puts the hardware in the right state, prepares the memory, loads the OS kernel there and transfers control to it (the kernel). Device drivers > Special software that allows the OS to work with a particular piece of equipment. 🔗 References 1. 📄 [**What is an OS? Operating System Definition for Beginners** – freeCodeCamp](https://www.freecodecamp.org/news/what-is-an-os-operating-system-definition-for-beginners/) 2. 📄 [**Windows vs MacOS vs Linux – Operating System Handbook** – freeCodeCamp](https://www.freecodecamp.org/news/an-introduction-to-operating-systems/) 3. 📺 [**Operating Systems: Crash Course Computer Science** – YouTube](https://youtu.be/26QPDBe-NB8) 4. 📺 [**Operating System Basics** – YouTube](https://youtu.be/9GDX-IyZ_C8) 5. 📺 [**Operating System in deep details (playlist)** – YouTube](https://youtube.com/playlist?list=PLBlnK6fEyqRiVhbXDGLXDk_OQAeuVcp2O) 6. 📄 [**Awesome Operating System Stuff** – GitHub](https://github.com/jubalh/awesome-os) Contents ⬆️ Processes and threads Process > A kind of container in which all the resources needed to run a program are stored. As a rule, the process consists of: > > - Executable program code > - Input and output data > - Call stack (order of instructions for execution) > - Heap (a structure for storing intermediate data created during the process) > - Segment descriptor > - File descriptor > - Information about the set of permissible powers > - Processor status information Thread > An entity in which sequences of program actions (procedures) are executed. Threads are within a process and use the same address space. There can be multiple threads in a single process, allowing multiple tasks to be performed. These tasks, thanks to threads, can exchange data, use shared data or the results of other tasks. 🔗 References 1. 📺 [**Difference Between Process and Thread** – YouTube](https://youtu.be/O3EyzlZxx3g) 2. 📺 [**How Do CPUs Use Multiple Cores** – YouTube](https://youtu.be/S3I5WNHbnJ0) 3. 📺 [**What is Hyper Threading Technology** – YouTube](https://youtu.be/wnS50lJicXc) Contents ⬆️ Concurrency and parallelism Parallelism > The ability to perform multiple tasks simultaneously using multiple processor cores, where each individual core performs a different task. Concurrency > The ability to perform multiple tasks, but using a single processor core. This is achieved by dividing tasks into separate blocks of commands which are executed in turn, but switching between these blocks is so fast that for users it seems as if these processes are running simultaneously. 🔗 References 1. 📄 [**Concurrency, parallelism, and the many threads of Santa Claus** – freeCodeCamp](https://www.freecodecamp.org/news/concurrency-parallelism-and-the-many-threads-of-santa-claus/) 2. 📺 [**Concurrency vs Parallelism** – YouTube](https://youtu.be/Y1pgpn2gOSg) 3. 📺 [**Concurrency is not Parallelism by Rob Pike** – YouTube](https://youtu.be/oV9rvDllKEg) Contents ⬆️ Inter-process communication A mechanism which allows to exchange data between threads of one or different processes. Processes can be run on the same computer or on different computers connected by a network. Inter-process communication can be done in different ways. File > The easiest way to exchange data. One process writes data to a certain file, another process reads the same file and thus receives data from the first process. Signal (IPC) > Asynchronous notification of one process about an event which occurred in another process. Network socket > In particular, IP addresses and ports are used to communicate between computers using the TCP/IP protocol stack. This pair defines a socket ( socket corresponding to the address and port). Semaphore > A counter over which only 2 operations can be performed: increasing and decreasing (and for 0 the decreasing operation is blocked). Message passing & Message queue Pipelines > Redirecting the output of one process to the input of another (similar to a pipe). 🔗 References 1. 📄 [**Interprocess Communications** – Microsoft](https://learn.microsoft.com/en-us/windows/win32/ipc/interprocess-communications) 2. 📺 [**Interprocess Communication** – YouTube](https://youtu.be/dJuYKfR8vec) 3. 📺 [**Inter Process Communication** – YouTube](https://youtu.be/W0BX6geRCDQ) Contents ⬆️ Linux Basics Operating systems based on Linux kernel are the standard in the world of server development, since most servers run on such operating systems. Using Linux on servers is profitable because it is free and open source, secure and works fast on cheap hardware. There are a huge number of Linux distributions (preinstalled software bundles) to suit all tastes. One of the most popular is Ubuntu . This is where you can start your dive into server development. Install Ubuntu on a separate PC or laptop. If this is not possible, you can use a special program Virtual Box where you can run other OS on top of the main OS. You can also run Docker Ubuntu image container (Docker is a separate topic that is exists in this repository). Working with shell Shell (or console, terminal) is a computer program which is used to operate and control a computer by entering special text commands. Generally, servers do not have graphical interfaces (GUI) , so you will definitely need to learn how to work with shells. The are many Unix shells , but most Linux distributions come with a Bash shell by default. Basic commands for navigating the file system sh ls # list directory contents cd [PATH] # go to specified directory cd .. # move to a higher level (to the parent directory) touch [FILE] # create a file cat > [FILE] # enter text into the file (overwrite) cat >> [FILE] # enter text at the end of the file (append) cat/more/less [FILE] # to view the file contents head/tail [FILE] # view the first/last lines of a file pwd # print path to current directory mkdir [NAME] # create a directory rmdir [NAME] # delete a directory cp [FILE] [PATH] # copy a file or directory mv [FILE] [PATH] # moving or renaming rm [FILE] # deleting a file or directory find [STRING] # file system search du [FILE] # output file or directory size grep [PATTERN] [FILE] # print lines that match patterns Commands for help information sh man [COMMAND] # allows you to view a manual for any command apropos [STRING] # search for a command with a description that has a specified word man -k [STRING] # similar to the command above whatis [COMMAND] # a brief description of the command Super user rights > Analogue to running as administrator in Windows sh sudo [COMMAND] # executes a command with superuser privileges Text editor > Study any in order to read and edit files freely through the terminal. > The easiest – nano . > Something in the middle - micro . > The most advanced – Vim . 🔗 References 1. 📄 [**31 Linux Commands Every Ubuntu User Should Know**](https://itsfoss.com/essential-ubuntu-commands/) 2. 📄 [**The Linux Command Handbook** – freeCodeCamp](https://www.freecodecamp.org/news/the-linux-commands-handbook/) 3. 📄 [**A to Z: List of Linux commands**](https://linuxhandbook.com/a-to-z-linux-commands/) 4. 📺 [**The 50 Most Popular Linux & Terminal Commands** – YouTube](https://youtu.be/ZtqBQ68cfJc) 5. 📺 [**Nano Editor Fundamentals** – YouTube](https://youtu.be/gyKiDczLIZ4) 6. 📺 [**Vim Tutorial for Beginners** – YouTube](https://youtu.be/RZ4p-saaQkc) 7. 📄 [**Awesome Terminals** – GitHub](https://github.com/cdleon/awesome-terminals) 8. 📄 [**Awesome CLI-apps** – GitHub](https://github.com/agarrharr/awesome-cli-apps) Contents ⬆️ Package manager The package manager is a utility that allows you to install/update software packages from the terminal. Linux distributions can be divided into several groups, depending on which package manager they use: apt (in Debian based distributions), RPM (the Red Hat package management system) and Pacman (the package manager in Arch-like distributions ) Ubuntu is based on Debian, so it uses apt (advanced packaging tool) package manager. Basic commands sh apt install [package] # install the package apt remove [package] # remove the package, but keep the configuration apt purge [package] # remove the package along with the configuration apt update # update information about new versions of packages apt upgrade # update the packages installed in the system apt list --installed # list of packages installed on the system apt list --upgradable # list of packages that need to be updated apt search [package] # searching for packages by name on the network apt show [package] # package information aptitude > Interactive console utility for easy viewing of packages to install, update and uninstall them. Repository management > Package managers typically work with software repositories. These repositories contain a collection of software packages that are maintained and provided by the distribution's community or official sources. sh add-apt-repository [repository_url] # add a new repository add-apt-repository --remove [repository_url] # remove a repo # don\'t forget to update after this operations - apt update sh /etc/apt/sources.list # a file contains a list of configured repo links /etc/apt/sources.list.d # a directory contains files for thrid party repos dpkg > Low-level tool to install, build, remove and manage Debian packages. 🔗 References 1. 📺 [**Linux Crash Course - The apt Command** – YouTube](https://youtu.be/1kicKTbK768) 2. 📺 [**Linux Package Management | Debian, Fedora, and Arch Linux** – YouTube](https://youtu.be/lkii2cGuKao) 3. 📄 [**sudo apt-get update vs upgrade – What is the Difference?** – freeCodeCamp](https://www.freecodecamp.org/news/sudo-apt-get-update-vs-upgrade-what-is-the-difference) 4. 📄 [**Repositories in Ubuntu**](https://help.ubuntu.com/community/Repositories/Ubuntu) Contents ⬆️ Bash scripts You can use scripts to automate the sequential input of any number of commands. In Bash you can create different conditions (branching), loops, timers, etc. to perform all kinds of actions related to shell input. Basics of Bash Scripts > The most basic and frequently used features such as: variables, I/O, loops, conditions, etc. Practice > Solve challenges on sites like HackerRank and Codewars . > Start using Bash to automate routine activities on your computer. If you're already a programmer, create scripts to easily build your project, to install settings, and so on. ShellCheck script analysis tool > It will point out possible mistakes and teach you best practices for writing really good scripts. Additional resources > Repositories such as awesome bash and awesome shell have entire collections of useful resources and tools to help you develop even more skills with Bash and shell in general. 🔗 References 1. 📄 [**Shell Scripting for Beginners** – freeCodeCamp](https://www.freecodecamp.org/news/shell-scripting-crash-course-how-to-write-bash-scripts-in-linux/) 2. 📺 [**Bash Scripting Full Course 3 Hours** – YouTube](https://youtu.be/e7BufAVwDiM) 3. 📄 [**HackerRank challenges for Bash with solutions**](https://github.com/Thomas-George-T/HackerRank-The-Linux-Shell-Challenges-Solutions) Contents ⬆️ Users, groups and permissions Linux-based operating systems are multi-user. This means that several people can run many different applications at the same time on the same computer. For the Linux system to be able to "recognize" a user, he must be logged in and therefore each user must have a unique name and a secret password. Working with users sh useradd [name] [flags] # create a new user passwd [name] # set a password for the user usermod [name] [flags] # edit a user usermod -L [name] # block a user usermod -U [name] # unblock a user userdel [name] [flags] # delete a user su [name] # switch to other user Working with groups sh groupadd [group] [flags] # create a group groupmod [group] [flags] # edit group groupdel [group] [flags] # delete group usermod -a -G [groups] [user] # add a user to groups gpasswd --delete [user] [groups] # remove a user from groups System files sh /etc/passwd # a file containing basic information about users /etc/shadow # a file containing encrypted passwords /etc/group # a file containing basic information about groups /etc/gshadow # a file containing encrypted group passwords In Linux, it is possible to share privileges between users, limit access to unwanted files or features, control available actions for services, and much more. In Linux, there are only three kinds of rights - read, write and execute - and three categories of users to which they can be applied - file owner, file group and everyone else. Basic commands for working with rights sh chown <user> <file> # changes the owner and/or group for the specified files chmod <rights> <file> # changes access rights to files and directories chgrp <group> <file> # allows users to change groups Extended rights SUID and GUID , sticky bit ACL (Access control list) > An advanced subsystem for managing access rights. 🔗 References 1. 📄 [**Managing Users, Groups and Permissions in Linux**](https://omarrrz-lounge.hashnode.dev/managing-users-groups-and-permissions-in-linux) 2. 📄 [**Linux User Groups Explained** – freeCodeCamp](https://www.freecodecamp.org/news/linux-user-groups-explained-how-to-add-a-new-group-a-new-group-member-and-change-groups/) 3. 📺 [**Linux Users and Groups** – YouTube](https://youtu.be/b-9j2jiCOEA) 4. 📄 [**An Introduction to Linux Permissions** – Digital Ocean](https://www.digitalocean.com/community/tutorials/an-introduction-to-linux-permissions) 5. 📄 [**File Permissions in Linux – How to Use the chmod Command** – freeCodeCamp](https://www.freecodecamp.org/news/file-permissions-in-linux-chmod-command-explained/) 6. 📺 [**Understanding File & Directory Permissions** – YouTube](https://youtu.be/4e669hSjaX8) Contents ⬆️ Working with processes Linux processes can be described as containers in which all information about the state of a running program is stored. Sometimes programs can hang and in order to force them to close or restart, you need to be able to manage processes. Basic Commands sh ps # display a snapshot of the processes of all users top # real-time task manager [command] & # running the process in the background, (without occupying the shell) jobs # list of processes running in the background fg [PID] # return the process back to the active mode by its number # You can press [Ctrl+Z] to return the process to the background bg [PID] # start a stopped process in the background kill [PID] # terminate the process by PID killall [program] # terminate all processes related to the program 🔗 References 1. 📄 [**How to Show Process Tree in Linux**](https://linuxhandbook.com/show-process-tree/) 2. 📄 [**How to Manage Linux Processes** – freeCodeCamp](https://www.freecodecamp.org/news/how-to-manage-linux-processes/) 3. 📄 [**How To Use ps, kill, and nice to Manage Processes in Linux** – Digital Ocean](https://www.digitalocean.com/community/tutorials/how-to-use-ps-kill-and-nice-to-manage-processes-in-linux) 4. 📺 [**Linux processes, init, fork/exec, ps, kill, fg, bg, jobs** – YouTube](https://youtu.be/TJzltwv7jJs) Contents ⬆️ Working with SSH SSH allows remote access to another computer's terminal. In the case of a personal computer, this may be needed to solve an urgent problem, and in the case of working with the server, remote access via SSH is an integral and regularly used practice. Basic commands sh apt install openssh-server # installing SSH (out of the box almost everywhere) service ssh start # start SSH service ssh stop # stop SSH ssh -p [port] [user]@[remote_host] # connecting to a remote machine via SSH Passwordless login sh ssh-keygen -t rsa # RSA key generation for passwordless login ssh-copy-id -i ~/.ssh/id_rsa [user]@[remote_host] # copying a key to a remote machine Config files sh /etc/ssh/sshd_config # ssh server global config ~/.ssh/config # ssh server local config ~/.ssh/authorized_keys # file with saved public keys 🔗 References 1. 📄 [**What the hell is SSH?**](https://codingpastor.hashnode.dev/what-the-hell-is-ssh) 2. 📺 [**Learn SSH In 6 Minutes - Beginners Guide to SSH Tutorial** – YouTube](https://youtu.be/v45p_kJV9i4) 3. 📺 [**SSH Crash Course | With Some DevOps** – YouTube](https://youtu.be/hQWRp-FdTpc) 4. 📄 [**SSH config file for OpenSSH client**](https://www.ssh.com/academy/ssh/config) 5. 📄 [**Awesome SSH** – GitHub](https://github.com/moul/awesome-ssh) Contents ⬆️ Network utils For Linux there are many built-in and third-party utilities to help you configure your network, analyze it and fix possible problems. Simple utils bash ip address # show info about IPv4 and IPv6 addresses of your devices ip monitor # real time monitor the state of devices ifconfig # config the network adapter and IP protocol settings traceroute <host> # show the route taken by packets to reach the host tracepath <host> # traces the network host to destination discovering MTU ping <host> # check connectivity to host ss -at # show the list of all listening TCP connections dig <host> # show info about the DNS name server host <host | ip-address> # show the IP address of a specified domain mtr <host | ip-address> # combination of ping and traceroute utilities nslookup # query Internet name servers interactively whois <host> # show info about domain registration ifplugstatus # detect the link status of a local Linux ethernet device iftop # show bandwidth usage ethtool <device name> # show detalis about your ethernet device nmap # tool to explore and audit network security bmon # bandwidth monitor and rate estimator firewalld # add, configure and remove rules on firewall ipref # perform network performance measurement and tuning speedtest-cli # check your network download/upload speed wget <link> # download files from the Internet tcpdump > A console utility that allows you to intercept and analyze all network traffic passing through your computer. netcat > Utility for reading from and writing to network connections using TCP or UDP. It includes port scanning, transferring files, and port listening: as with any server, it can be used as a backdoor . iptables > User-space utility program that allows configure the IP packet filter rules of the Linux kernel firewall, implemented as different Netfilter modules. The filters are organized in different tables, which contain chains of rules for how to treat network traffic packets. curl > Command-line tool for transferring data using various network protocols. 🔗 References 1. 📄 [**21 Basic Linux Networking Commands You Should Know**](https://itsfoss.com/basic-linux-networking-commands/) 2. 📄 [**Using tcpdump Command in Linux to Analyze Network**](https://linuxhandbook.com/tcpdump-command/) 3. 📺 [**tcpdump - Traffic Capture & Analysis** – YouTube](https://youtu.be/1lDfCRM6dWk) 4. 📺 [**tcpdumping Node.js server** – YouTube](https://youtu.be/g_tmQ5G-T2w) 5. 📄 [**Beginner’s guide to Netcat for hackers**](https://medium.com/@HackTheBridge/beginners-guide-to-netcat-for-hackers-55abe449991d) 6. 📄 [**Iptables Tutorial**](https://linuxhint.com/iptables-tutorial/) 7. 📄 [**An intro to cURL: The basics of the transfer tool**](https://blog.logrocket.com/an-intro-to-curl-the-basics-of-the-transfer-tool/) 8. 📺 [**Basic cURL Tutorial** – YouTube](https://youtu.be/7XUibDYw4mc) 9. 📺 [**Using curl better - tutorial by curl creator Daniel Stenberg** – YouTube](https://youtu.be/I6id1Y0YuNk) 10. 📄 [**Awesome console services** – GitHub](https://github.com/chubin/awesome-console-services) Contents ⬆️ Task scheduler Schedulers allow you to flexibly manage the delayed running of commands and scripts. Linux has a built-in cron scheduler that can be used to easily perform necessary actions at certain intervals. Main commands bash crontab -e # edit the crontab file of the current user crontab -l # output the contents of the current schedule file crontab -r # deleting the current schedule file Files and directories ```sh /etc/crontab # base config /etc/cron.d/ # a dir with crontab files used to manage the entire system # dirs where you can store scripts that runs: /etc/cron.daily/ # every day /etc/cron.weekly/ # every week /etc/cron.monthly/ # every month ``` 🔗 References 1. 📄 [**How to schedule and manage tasks using crontab** – dev.to](https://dev.to/shaikh/how-to-schedule-and-manage-tasks-using-crontab-20dj) 2. 📺 [**Cron Jobs For Beginners | Linux Task Scheduling** – YouTube](https://youtu.be/v952m13p-b4) 3. 📄 [**How to Check Crontab logs in Linux**](https://linuxhandbook.com/check-crontab-logs/) Contents ⬆️ System logs Log files are special text files that contain all information about the operation of a computer, program, or user. They are especially useful when bugs and errors occur in the operation of a program or server. It is recommended to periodically review log files, even if nothing suspicious happens. Main log files bash /var/log/syslog or /var/log/messages # information about the kernel, # various services detected, devices, network interfaces, etc. /var/log/auth.log or /var/log/secure # user authorization information /var/log/faillog # failed login attempts /var/log/dmesg # information about device drivers /var/log/boot.log # operating system boot information /var/log/cron # cron task scheduler report lnav utility > Designed for easy viewing of log files (highlighting, reading different formats, searching, etc.) Log rotation with logrotate > Allows you to configure automatic deletion (cleaning) of log files so as not to clog memory. Demon journald > Collects data from all available sources and stores it in binary format for convenient and dynamic control 🔗 References 1. 📺 [**Linux Crash Course - Understanding Logging** – YouTube](https://youtu.be/6uP_f_z3CbM) 2. 📺 [**Linux Monitoring and Logging** – YouTube](https://youtu.be/kZ5LhS6fThM) 3. 📄 [**3 ways to watch logs in real time in Linux**](https://linuxhandbook.com/watch-logs-real-time/) 4. 📄 [**Analyzing logs in Linux with journalctl command**](https://linuxhandbook.com/journalctl-command/) 5. 📄 [**Linux File Structure Explained**](https://shubhsharma19.hashnode.dev/linux-file-structure-explained) Contents ⬆️ Main issues with Linux Software installation and package management issues > - Unmet dependencies - occurs when package fails to install or update. > - Dependency errors and conflicts Problems with drivers > All free Linux drivers are built right into its kernel. Therefore, everything should work "out of the box" after installing the system (problems may occur with brand new hardware which has just been released on the market). Drivers whose source code is closed are considered proprietary and are not included in the kernel but are installed manually (like Nvidia graphics drivers). File system issues > - Check disk space availability using the df command and ensure that critical partitions are not full. > - Use the fsck command to check and repair file system inconsistencies . > - In case of data loss or accidental deletion, utilize data recovery tools like extundelete or testdisk . Performance and resource management > - Check system resource usage, including CPU, memory, and disk space, using free , df , or du commands. > - Identify resource-intensive processes using tools like top , htop , or systemd-cgtop . > - Disable unnecessary startup services or background processes to improve performance. Network connectivity issues > - Use the ping command to check network connectivity to a specific host or IP address. > - Check the network settings , such as IP configuration, DNS settings , and firewall rules . Problems with kernel > Kernel panic - can occur due to an error when mounting the root file system. > This is best helped by the skill of reading the logs to find problems ( dmesg command). 🔗 References 1. 📺 [**Linux Drivers Explained** – YouTube](https://youtu.be/s8t0AWmHvUM) 2. 📺 [**How Do Linux Kernel Drivers Work?** – YouTube](https://youtu.be/juGNPLdjLH4) Contents ⬆️ General knowledge Numeral systems Numeral system is a set of symbols and rules for denoting numbers. In computer science, it is customary to distinguish four main number systems: binary, octal, decimal, and hexadecimal. It is connected, first of all, with their use in various branches of programming. Binary number > The most important system for computing technology. Its use is justified by the fact that the logic of the processor is based on only two states (on/off, open/closed, high/low, true/false, yes/no, high/low). Octal > It is used e.g. in Linux systems to grant access rights. Decimal > A system that is easy to understand for most people. Hexadecimal > The letters A, B, C, D, E, F are additionally used for recording. It is widely used in low-level programming and computer documentation because the minimum addressable memory unit is an 8-bit byte, the values of which are conveniently written in two hexadecimal digits. Translation between different number systems > You can try online converter for a better understanding. 🔗 References 1. 📺 [**Number Systems Introduction - Decimal, Binary, Octal & Hexadecimal** – YouTube](https://youtu.be/FFDMzbrEXaE) 1. 📄 [**Number System in Maths** – GeeksGorGeeks](https://www.geeksforgeeks.org/number-system-in-maths/) Contents ⬆️ Logical connective Logical connective are widely used in programming to handle boolean types (true/false or 1/0). The result of a boolean expression is also a value of a boolean type. AND | a | b | a AND b | |---|---|:-------:| | 0 | 0 | 0 | | 0 | 1 | 0 | | 1 | 0 | 0 | | 1 | 1 | 1 | OR | a | b | a OR b | |---|---|:-------:| | 0 | 0 | 0 | | 0 | 1 | 1 | | 1 | 0 | 1 | | 1 | 1 | 1 | XOR | a | b | a XOR b | |---|---|:-------:| | 0 | 0 | 0 | | 0 | 1 | 1 | | 1 | 0 | 1 | | 1 | 1 | 0 | Basic logical operations > They are the basis of other all kinds of operations. > There are three in total: Operation AND (&&, Conjunction) , operation OR (||, Disjunction) , operation NOT (!, Negation) . Operation Exclusive OR (XOR, Modulo 2 Addition) > An important operation that is fundamental to coding theory and computer networks. Truth Tables > For logical operations, there are special tables that describe the input data and the return result. Priority of operations > The NOT operator has the highest priority, followed by the AND operator, and then the OR operator. You can change this behavior using round brackets. 🔗 References 1. 📺 [**Logical Operators − Negation, Conjunction & Disjunction** – YouTube](https://youtu.be/6kYngPvoGxU) 2. 📺 [**Logical Operators − Exclusive OR** – YouTube](https://youtu.be/m2mf6I3g2-c) Contents ⬆️ Data structures Data structures are containers in which data is stored according to certain rules. Depending on these rules, the data structure will be effective in some tasks and ineffective in others. Therefore, it is necessary to understand when and where to use this or that structure. Array > A data structure that allows you to store data of the same type, where each element is assigned a different sequence number. Linked list > A data structure where all elements, in addition to the data, contain references to the next and/or previous element. There are 3 varieties: > > - A singly linked list is a list where each element stores a link to the next element only (one direction). > - A doubly linked list is a list where the items contain links to both the next item and the previous one (two directions). > - A circular linked list is a kind of bilaterally linked list, where the last element of the ring list contains a pointer to the first and the first to the last. Stack > Structure where data storage works on the principle of last in - first out (LIFO). Queue > Structure where data storage is based on the principle of first in - first out (FIFO). Hash table > In other words, it is an associative array. Here, each of the elements is accessed with a corresponding key value, which is calculated using hash function according to a certain algorithm. Tree > Structure with a hierarchical model, as a set of related elements, usually not ordered in any way. Heap > Similar to the tree, but in the heap, the items with the largest key is the root node (max-heap). But it may be the other way around, then it is a min heap. Graph > A structure that is designed to work with a large number of links. 🔗 References 1. 📺 [**10 Key Data Structures We Use Every Day** – YouTube](https://youtu.be/ouipSd_5ivQ) 2. 📺 [**CS50 2022 - Lecture about Data Structures** – YouTube](https://youtu.be/X8h4dq9Hzq8) 3. 📺 [**Data Structures Easy to Advanced Course** – YouTube](https://youtu.be/RBSGKlAvoiM) 4. 📄 [**Free courses to learn data structures and algorithms in depth** – freeCodeCamp](https://www.freecodecamp.org/news/these-are-the-best-free-courses-to-learn-data-structures-and-algorithms-in-depth-4d52f0d6b35a/) 5. 📄 [**Data Structures: collection of topics** – GeeksForGeeks](https://www.geeksforgeeks.org/data-structures/) 6. 📄 [**JavaScript Data Structures and Algorithms** – GitHub](https://github.com/trekhleb/javascript-algorithms) 7. 📄 [**Go Data Structures** – GitHub](https://github.com/emirpasic/gods) Contents ⬆️ Basic algorithms Algorithms refer to sets of sequential instructions (steps) that lead to the solution of a given problem. Throughout human history, a huge number of algorithms have been invented to solve certain problems in the most efficient way. Accordingly, the correct choice of algorithms in programming will allow you to create the fastest and most resource-intensive solutions. There is a very good book about algorithms for beginners – Grokking algorithms . You can start learning a programming language in parallel with reading it. Binary search > Maximum efficient search algorithm for sorted lists. Selection sort > At each step of the algorithm, the minimum element is searched for and then swapped with the current iteration element. Recursion > When a function can call itself and so on to infinity. On the one hand, recursion-based solutions look very elegant, but on the other hand, this approach quickly leads to stack overflow and is recommended to be avoided. Bubble sort > At each iteration neighboring elements are sequentially compared, and if the order of the pair is wrong, the elements are swapped. Quicksort > Improved bubble sorting method. Breadth-first search > Allows to find all shortest paths from a given vertex of the graph. Dijkstra's algorithm > Finds the shortest paths between all vertices of a graph and their length. Greedy algorithm > An algorithm that at each step makes locally the best choice in the hope that the final solution will be optimal. 🔗 References 1. 📄 [**Code for the book Grokking Algorithms** – GitHub](https://github.com/egonSchiele/grokking_algorithms) 2. 📺 [**Algorithms and Data Structures Tutorial** – YouTube](https://youtu.be/8hly31xKli0) 3. 📄 [**Largest open-source algorithm library**](https://the-algorithms.com/) 4. 📺 [**Sorting Algorithms Explained Visually** – YouTube](https://youtu.be/RfXt_qHDEPw) Contents ⬆️ Algorithm complexity In the world of programming there is a special unit of measure Big O notation . It describes how the complexity of an algorithm increases with the amount of input data. Big O estimates how many actions (steps/iterations) it takes to execute the algorithm, while always showing the worst case scenario. Main types of complexity > - Constant O(1) – the fastest. > - Linear O(n) > - Logarithmic O(log n) > - Linearimetric O(n * log n) > - Quadratic O(n^2) > - Stepwise O(2^n) > - Factorial O(n!) – the slowest. Time complexity > When you know in advance on which machine the algorithm will be executed, you can measure the execution time of the algorithm. Again, on very good hardware the execution time of the algorithm can be quite acceptable, but the same algorithm on a weaker hardware can run for hundreds of milliseconds or even a few seconds. Such delays will be very sensitive if your application handles user requests over the network. Space complexity > In addition to time, you need to consider how much memory is spent on the work of an algorithm. It is important when you working with limited memory resources. 🔗 References 1. 📄 [**Big O Algorithm Complexity cheatsheet**](https://www.bigocheatsheet.com/) 2. 📺 [**Big O Notation - Full Course** – YouTube](https://youtu.be/Mo4vesaut8g) Contents ⬆️ Data storage formats Different file formats can be used to store and transfer data over the network. Text files are human-readable, so they are used for configuration files, for example. But transferring data in text formats over the network is not always rational, because they weigh more than their corresponding binary files. Text formats JSON (JavaScript Object Notation) > Represents an object in which data is stored as key-value pairs. XML (eXtensible Markup Language) > The format is closer to HTML. Here the data is wrapped in opening and closing tags. YAML (Yet Another Markup Language) > The format is close to markup languages like HTML. Minimalist, because it has no opening or closing tags. Easy to edit. TOML (Tom's Obvious Minimal Language) > A minimal configuration file format that's easy to read due to obvious semantics. TOML is designed to map unambiguously to a hash table. TOML should be easy to parse into data structures in a wide variety of languages. Binary formats Message Pack > Binary analog of JSON. Allows you to pack data 15-20% more efficiently. BSON (Binary JavaScript Object Notation) > It is a superset of JSON, including additionally regular expressions, binary data and dates. ProtoBuf (Protocol Buffers) > Binary alternative to XML text format. Simpler, more compact and faster. Image formats JPEG (Joint Photographic Experts Group) > It is best suited for photographs and complex images with a wide range of colors. JPEG images can achieve high compression ratios while maintaining good image quality, but repeated editing and saving can result in loss of image fidelity. PNG (Portable Network Graphics) > It is a lossless compression format that supports transparency. It is commonly used for images with sharp edges, logos, icons, and images that require transparency. PNG images can have a higher file size compared to JPEG, but they retain excellent quality without degradation during repeated saves. GIF (Graphics Interchange Format) > Used for simple animations and low-resolution images with limited colors. It supports transparency and can be animated by displaying a sequence of frames. SVG (Scalable Vector Graphics) > XML-based vector image format defined by mathematical equations rather than pixels. SVG images can be scaled to any size without losing quality and are well-suited for logos, icons, and graphical elements. WebP > Modern image format developed by Google. It supports both lossy and lossless compression, providing good image quality with smaller file sizes compared to JPEG and PNG. WebP images are optimized for web use and can include transparency and animation. Video formats MP4 (MPEG-4 Part 14) > Widely used video format that supports high-quality video compression, making it suitable for streaming and storing videos. MP4 files can contain both video and audio. AVI (Audio Video Interleave) > Is a multimedia container format developed by Microsoft. It can store audio and video data in a single file, allowing for synchronized playback. However, they tend to have larger file sizes compared to more modern formats. MOV (QuickTime Movie) > Is a video format developed by Apple for use with their QuickTime media player. It is widely used with Mac and iOS devices. MOV files can contain both video and audio, and they offer good compression and quality, making them suitable for editing and professional use. WEBM > Best for videos embedded on your personal or business website. It is lightweight, load quickly and stream easily. Audio formats MP3 (MPEG-1 Audio Layer 3) > The most popular audio format known for its high compression and small file sizes. It achieves this by removing some of the audio data that may be less perceptible to the human ear. Suitable for music storage, streaming, and sharing. WAV (Waveform Audio File Format) > Is an uncompressed audio format that stores audio data in a lossless manner, resulting in high-quality sound reproduction. WAV files are commonly used in professional audio production and editing due to their accuracy and fidelity. However, they tend to have larger file sizes compared to compressed formats. AAC (Advanced Audio Coding) > Is a widely used audio format known for its efficient compression and good sound quality. It offers better sound reproduction at lower bit rates compared to MP3. AAC files are commonly used for streaming music, online radio, and mobile devices, as they deliver good audio quality while conserving bandwidth and storage. 🔗 References 1. 📺 [**Data Formats: XML, JSON, and YAML** – YouTube](https://youtu.be/JQO-x8rzNVI) 2. 📺 [**Serialization formats: JSON and Protobuf** – YouTube](https://youtu.be/uGYZn6xk-hA) 3. 📺 [**Protocol Buffers Crash Course** – YouTube](https://youtu.be/46O73On0gyI) 4. 📺 [**Explaining Image File Formats** – YouTube](https://youtu.be/WblPwVq9KnU) 5. 📺 [**What's the difference between a JPEG, PNG, GIF, etc...?** – YouTube](https://youtu.be/ww12lImOJ38) Contents ⬆️ Text encodings Computers work only with numbers, or more precisely, only with 0 and 1. It is already clear how to convert numbers from different number systems to binary. But you can't do that with text. That's why special tables called encodings were invented, in which text characters are assigned numeric equivalents. ASCII (American standard code for information interchange) > The simplest encoding created specifically for the American alphabet. Consists of 128 characters. Unicode > This is an international character table that, in addition to the English alphabet, contains the alphabets of almost all countries. It can hold more than a million different characters (the table is currently incomplete). UTF-8 (Unicode Transformation Format) > UTF-8 is a variable-length encoding that can be used to represent any unicode character. UTF-16 > Its main difference from UTF-8 is that its structural unit is not one but two bytes. That is, in UTF-16 any Unicode character can be encoded by either two or four bytes. 🔗 References 1. 📺 [**Unicode, in friendly terms: ASCII, UTF-8 and more** – YouTube](https://youtu.be/ut74oHojxqo) 2. 📄 [**Understanding the ASCII Table**](https://linuxhandbook.com/ascii-table/) 3. 📺 [**Unicode Encoding! UTF-32, UCS-2, UTF-16, & UTF-8!** – YouTube](https://youtu.be/uTJoJtNYcaQ) Contents ⬆️ Programming Language At this stage you have to choose one programming language to study. There is plenty of information on various languages in the Internet (books, courses, thematic sites, etc.), so you should have no problem finding information. Below is a list of specific languages that personally, in my opinion are good for backend development (⚠️ may not agree with the opinions of others, including those more competent in this matter). Python > A very popular language with a wide range of applications. Easy to learn due to its simple syntax. JavaScript > No less popular and practically the only language for full-fledged Web-development. Thanks to the platform Node.js last few years is gaining popularity in the field of backend development as well. Go > A language created internally by Google. It was created specifically for high-load server development. Minimalistic syntax, high performance and rich standard library. Kotlin > A kind of modern version of Java . Simpler and more concise syntax, better type-safety, built-in tools for multithreading. One of the best choices for Android development. Find a good book or online tutorial in English at this repository . There is a large collection for different languages and frameworks. Look for a special awesome repository - a resource that contains a huge number of useful links to materials for your language (libraries, cheat sheets, blogs and other various resources). Contents ⬆️ Classification of programming languages There are many programming languages. They are all created for a reason. Some languages may be very specific and used only for certain purposes. Also, different languages may use different approaches to writing programs. They may even run differently on a computer. In general, there are many different classifications , which would be useful to understand. Depending on language level Low level languages > As close to machine code , complex to write, but as productive as possible. As a rule, it provides access to all of the computer's resources. High-level languages > They have a fairly high level of abstraction, which makes them easy to write and easy to use. As a rule, they are safer because they do not provide access to all of the computer's resources. Depending on implementation Compilation > Allows you to convert the source code of a program to an executable file. Interpretation > The source code of a program is translated and immediately executed (interpreted) by a special interpreter program. Virtual machine > In this approach, the program is not compiled into a machine code, but into machine-independent low-level code - bytecode . This bytecode is then executed by the virtual machine itself. Depending on the programming paradigm Imperative > Focuses on describing the steps to solve a problem through a sequence of statements or commands. Declarative > Focuses on describing what the program should do, rather than how it should do it. Examples of declarative languages include SQL and HTML. Functional > Based on the idea of treating computation as the evaluation of mathematical functions. It emphasizes immutability , avoiding side effects , and using higher-order functions . Examples of functional languages include Haskell, Lisp, and Clojure. Object-Oriented > Revolves around creating objects that contain both data and behavior, with the goal of modeling real-world concepts. Examples of object-oriented languages include Java, Python, and C++. Concurrent > Focused on handling multiple tasks or threads at the same time, and is used in systems that require high performance and responsiveness. Examples of concurrent languages include Go and Erlang. 🔗 References 1. 📄 [**Classifying Programming Languages**](https://cs.lmu.edu/~ray/notes/pltypes/) 2. 📺 [**What are the Types of Programming Languages?** – YouTube](https://youtu.be/Mo4vesaut8g) 3. 📺 [**Functional Programming in 40 Minutes** – YouTube](https://youtu.be/0if71HOyVjY) 4. 📺 [**The Art of Functional Programming** – YouTube](https://youtu.be/pNIWiTdsPV4) Contents ⬆️ Language Basics By foundations are meant some fundamental ideas present in every language. Variables and constants > Are names assigned to a memory location in the program to store some data. Data types > Define the type of data that can be stored in a variable. The main data types are integers, floating point numbers, symbols, strings, and boolean. Operators > Used to perform operations on variables or values. Common operators include arithmetic operators, comparison operators, logical operators, and assignment operators. Flow control > Loops, conditions if else , switch case statements. Functions > Are blocks of code that can be called multiple times in a program. They allow for code reusability and modularization. Functions are an important concept for understanding the scope of variables. Data structures > Special containers in which data are stored according to certain rules. Main data structures are arrays, maps, trees, graphs. Standard library > This refers to the language's built-in features for manipulating data structures, working with the file system, network, cryptography, etc. Error handling > Used to handle unexpected events that can occur during program execution. Regular expressions > A powerful tool for working with strings. Be sure to familiarize yourself with it in your language, at least on a basic level. Modules > Writing the code of the whole program in one file is not at all convenient. It is much more readable to break it up into smaller modules and import them into the right places. Package Manager > Sooner or later, there will be a desire to use third-party libraries. After mastering the minimal base for writing the simplest programs, there is not much point in continuing to learn without having specific goals (without practice, everything will be forgotten). You need to think of/find something that you would like to create yourself (a game, a chatbot, a website, a mobile/desktop application, whatever). For inspiration, check out these repositories: Build your own x and Project based learning . At this point, the most productive part of learning begins: You just look for all kinds of information to implement your project. Your best friends are Google, YouTube, and Stack Overflow. 🔗 References 1. 📺 [**CS50 2022 – Harvard University's course about programming** – YouTube](https://youtube.com/playlist?list=PLeLzIg9tqA3LQW-RiFA8zJUBcTKqUVLMU) 2. 📺 [**Harvard CS50’s Web Programming with Python and JavaScript** – YouTube](https://youtu.be/vzGllw18DkA) 3. 📄 [**Free Interactive Python Tutorial**](https://www.learnpython.org/) 4. 📺 [**Harvard CS50’s Introduction to Programming with Python** – YouTube](https://youtu.be/nLRL_NcnK-4) 5. 📺 [**Python Tutorial for Beginners** – YouTube](https://youtu.be/8124kv-632k) 6. 📄 [**Python cheatsheet** – Learn X in Y minutes](https://learnxinyminutes.com/docs/python/) 7. 📄 [**Python cheatsheet** – quickref.me](https://quickref.me/python) 8. 📄 [**Free Interactive JavaScript Tutorial**](https://www.learn-js.org/) 9. 📺 [**JavaScript Programming - Full Course** – YouTube](https://youtu.be/jS4aFq5-91M) 10. 📄 [**The Modern JavaScript Tutorial**](https://javascript.info/) 11. 📄 [**JavaScript cheatsheet** – Learn X in Y minutes](https://learnxinyminutes.com/docs/javascript/) 12. 📄 [**JavaScript cheatsheet** – quickref.me](https://quickref.me/javascript) 13. 📄 [**Go Tour – learn most important features of the language**](https://go.dev/tour/list) 14. 📺 [**Learn Go Programming - Golang Tutorial for Beginners** – YouTube](https://youtu.be/YS4e4q9oBaU) 15. 📄 [**Go cheatsheet** – Learn X in Y minutes](https://learnxinyminutes.com/docs/go/) 16. 📄 [**Go cheatsheet** – quickref.me](https://quickref.me/golang) 17. 📄 [**Learn Go by Examples**](https://golangbyexample.com/) 18. 📄 [**Get started with Kotlin**](https://kotlinlang.org/docs/getting-started.html) 19. 📺 [**Learn Kotlin Programming – Full Course for Beginners** – YouTube](https://youtu.be/EExSSotojVI) 20. 📄 [**Kotlin cheatsheet** – Learn X in Y minutes](https://learnxinyminutes.com/docs/kotlin/) 21. 📄 [**Kotlin cheatsheet** – devhints.io](https://devhints.io/kotlin) 22. 📄 [**Learn Regex step by step, from zero to advanced**](https://regexlearn.com) 23. 📄 [**Projectbook – The Great Big List of Software Project Ideas**](https://projectbook.code.brettchalupa.com/) Contents ⬆️ Object-oriented programming OOP is one of the most successful and convenient approaches for modeling real-world things. This approach combines several very important principles which allow to write modular, extensible and loosely coupled code. Understanding Classes > A class can be understood as a custom data type (a kind of template) in which you describe the structure of future objects that will implement the class. Classes can contain properties (these are specific fields in which data of a particular data type can be stored) and methods (these are functions that have access to properties and the ability to manipulate, modify them). Understanding objects > An object is a specific implementation of a class. If, for example, the name property with type string is described in a class, the object will have a specific value for that field, for example "Alex" . Inheritance principle > Ability to create new classes that inherit properties and methods of their parents. This allows you to reuse code and create a hierarchy of classes. Encapsulation principle > Ability to hide certain properties/methods from external access, leaving only a simplified interface for interacting with the object. Polymorphism principle > The ability to implement the same method differently in descendant classes. Composition over inheritance > Often the principle of inheritance can complicate and confuse your program if you do not think carefully about how to build the future hierarchy. That is why there is an alternative (more flexible) approach called composition. In particular, Go language lacks classes and many OOP principles, but widely uses composition . Dependency injection (DI) > Dependency injection is a popular OOP pattern that allows objects to receive their dependencies (other objects) from the outside rather than creating them internally. It promotes loose coupling between classes, making code more modular, maintainable, and easier to test. 🔗 References 1. 📺 [**Intro to Object Oriented Programming - Crash Course** – YouTube](https://youtu.be/SiBw7os-_zI) 2. 📄 [**OOP Meaning – What is Object-Oriented Programming?** – freeCodeCamp](https://www.freecodecamp.org/news/what-is-object-oriented-programming/) 3. 📺 [**OOP in Python (CS50 lecture)** – YouTube](https://youtu.be/SiBw7os-_zI) 4. 📄 [**OOP tutorial from Python docs**](https://docs.python.org/3/tutorial/classes.html) 5. 📺 [**OOP in JavaScript: Made Super Simple** – YouTube](https://youtu.be/PFmuCDHHpwk) 6. 📄 [**OOP in Go by examples**](https://golangbyexample.com/golang-comprehensive-tutorial/#OOPS_in_Golang) 7. 📺 [**Object Oriented Programming is not what I thought - Talk by Anjana Vakil** – YouTube](https://youtu.be/TbP2B1ijWr8) 8. 📺 [**The Flaws of Inheritance (tradeoffs between Inheritance and Composition)** – YouTube](https://youtu.be/hxGOiiR9ZKg) 9. 📺 [**Dependency Injection, The Best Pattern** – YouTube](https://youtu.be/J1f5b4vcxCQ?si=9kgJNwZgMFd7r7fX) Contents ⬆️ Server development Understand sockets > A socket is an endpoint of a two-way communication link between two programs running over a network. You need to know how to create, connect, send, and receive data over sockets. Running a local TCP, UDP and HTTP servers > These protocols are the most important, you need to understand the intricacies of working with each of them. Handing out static files > You need to know how to hosting HTML pages, pictures, PDF documents, music/video files, etc. Routing > Creation of endpoints (URLs) which will call the appropriate handler on the server when accessed. Processing requests > As a rule, HTTP handlers have a special object which receives all information about user request (headers, method, request body, query parameters and so on) Processing responses > Sending an appropriate message to a received request (HTTP status and code, response body, headers, etc.) Error handling > You should always be prepared for the possibility that something will go wrong: the user will send incorrect data, the database will not perform the operation, or an unexpected error will simply occur in the application. It is necessary for the server not to crash, but to send a response with information about the error. Middleware > An intermediate component between the application and the server. It used for handling authentication, validation, caching data, logging requests, and so on. Sending requests > Often, within one application, you will need to access another application over the network. That's why it's important to be able to send HTTP requests using the built-in features of the language. Template processor > Is a special module that uses a more convenient syntax to generate HTML based on dynamic data. 🔗 References 1. 📄 [**Learn Django – Python-based web framework**](https://www.djangoproject.com/start/) 2. 📺 [**Python Django 7 Hour Course** – YouTube](https://youtu.be/PtQiiknWUcI) 3. 📄 [**A curated list of awesome things related to Django** – GitHub](https://github.com/wsvincent/awesome-django) 4. 📺 [**Python Web Scraping for Beginners** – YouTube](https://youtu.be/mBoX_JCKZTE) 5. 📺 [**Build servers in pure Node.js** – YouTube](https://youtu.be/_1xa8Bsho6A) 6. 📄 [**Node.js HTTP Server Examples – GitHub**](https://github.com/HowProgrammingWorks/NodeServer) 7. 📄 [**Learn Express – web framework for Node.js**](https://developer.mozilla.org/en-US/docs/Learn/Server-side/Express_Nodejs) 8. 📺 [**Express.js 2022 Course** – YouTube](https://youtube.com/playlist?list=PL_cUvD4qzbkwp6pxx27pqgohrsP8v1Wj2) 9. 📄 [**A curated list of awesome Express.js resources** – GitHub](https://github.com/rajikaimal/awesome-express) 10. 📄 [**How to build servers in Go**](https://eli.thegreenplace.net/2021/rest-servers-in-go-part-1-standard-library/) 11. 📺 [**Golang server development course** – YouTube](https://youtube.com/playlist?list=PLzUGFf4GhXBL4GHXVcMMvzgtO8-WEJIoY) 12. 📄 [**Web services in Go** – GitBook](https://astaxie.gitbooks.io/build-web-application-with-golang/content/en/08.0.html) 13. 📄 [**List of libraries for working with network in Go** – GitHub](https://github.com/avelino/awesome-go#networking) 14. 📄 [**Learn Ktor – web framework for Kotlin**](https://ktor.io/learn/) 15. 📺 [**Ktor - REST API Tutorials** – YouTube](https://youtube.com/playlist?list=PLFmuMD2V4CkyR0Pa42Cqu5mIhH17uG8nN) 16. 📄 [**Kotlin for server side**](https://kotlinlang.org/docs/server-overview.html) Contents ⬆️ Asynchronous programming Asynchronous programming is an efficient way to write programs with a large number of I/O (input/output) operations . Such operations may include reading files, requesting to a database or remote server, reading user input, and so on. In these cases, the program spends a lot of time waiting for external resources to respond, and asynchronous programming allows the program to perform other tasks while waiting for the response. Callback > This is function that is passed as an argument to another function and is intended to be called by that function at a later time. The purpose of a callback is to allow the calling function to continue executing while the called function performs a time-consuming or asynchronous task. Once the task is complete, the called function will invoke the callback function, passing it any necessary data as arguments. Event-driven architecture (EDA) > A popular approach to writing asynchronous programs. The logic of the program is to wait for certain events and process them as they arrive. This can be useful in web applications that need to handle a large number of concurrent connections, such as chat applications or real-time games. Asynchronous in particular languages > - In Python, asynchronous programming can be done using the asyncio module , which provides an event loop and coroutine-based API for concurrency. There are also other third-party libraries like Twisted and Tornado that provide asynchronous capabilities. > - In JavaScript, asynchronous programming is commonly achieved through the use of promises , callbacks , async/await syntax and the event loop . > - Go has built-in support for concurrency through goroutines and channels , which allow developers to write asynchronous code that can communicate and synchronize across multiple threads. > - Kotlin provides coroutines are similar to JavaScript's async/await and Python's asyncio, and can be used with a variety of platforms and frameworks. 🔗 References 1. 📺 [**Synchronous vs Asynchronous Applications (Explained by Example)** – YouTube](https://youtu.be/N5Ky-mz6n-8) 2. 📄 [**Async IO in Python: A Complete Walkthrough**](https://realpython.com/async-io-python/) 3. 📄 [**Asynchronous Programming in JavaScript – Guide for Beginners** – freeCodeCamp](https://www.freecodecamp.org/news/asynchronous-programming-in-javascript/) 4. 📄 [**A roadmap for asynchronous programming in JavaScript**](https://exploringjs.com/impatient-js/ch_async-js.html#roadmap-async-functions) 5. 📺 [**Master Go Programming With These Concurrency Patterns** – YouTube](https://youtu.be/qyM8Pi1KiiM) 6. 📺 [**Kotlin coroutines: new ways to do asynchronous programming** – YouTube](https://youtu.be/WlGEOu-Ka-E) Contents ⬆️ Multitasking Computers today have processors with several physical and virtual cores, and if we take into account server machines, their number can reach up to hundreds. All of these available resources would be good to use to the fullest, for maximum application performance. That is why modern server development cannot do without implementing multitasking and paralleling . How it works > Multitasking refers to the concurrent execution of multiple threads of control within a single program. A thread is a lightweight process that runs within the context of a process , and has its own stack, program counter, and register set. Multiple threads can share the resources of a single process, such as memory, files, and I/O devices. Each thread executes independently and can perform a different task or part of a task. Multitasking types > - Cooperative multitasking : each program or task voluntarily gives up control of the CPU to allow other programs or tasks to run. Each program or task is responsible for yielding control to other programs or tasks at appropriate times. This approach requires programs or tasks to be well-behaved and to avoid monopolizing the CPU. If a program or task does not yield control voluntarily, it can cause the entire system to become unresponsive. Cooperative multitasking was commonly used in early operating systems and is still used in some embedded systems or real-time operating systems. > - Preemptive multitasking : operating system forcibly interrupts programs or tasks at regular intervals to allow other programs or tasks to run. The operating system is responsible for managing the CPU and ensuring that each program or task gets a fair share of CPU time. This approach is more robust than cooperative multitasking and can handle poorly behaved programs or tasks that do not yield control. Preemptive multitasking is used in modern operating systems, such as Windows, macOS, Linux, and Android. Main problems and difficulties > - Race conditions : When multiple threads access and modify shared data concurrently, race conditions can occur, resulting in unpredictable behavior or incorrect results. > - Deadlocks : Occur when two or more threads are blocked waiting for resources that are held by other threads, resulting in a deadlock. > - Debugging: Multitasking programs can be difficult to debug due to their complexity and non-deterministic behavior. You need to use advanced debugging tools and techniques, such as thread dumps, profilers, and logging, to diagnose and fix issues. Synchronizing primitives > Needed to securely exchange data between different threads. > - Semaphore : It is essentially a counter that keeps track of the number of available resources and can block threads or processes that try to acquire more than the available resources. > - Mutex : (short for mutual exclusion) allows only one thread or process to access the resource at a time, ensuring that there are no conflicts or race conditions. > - Atomic operations : operations that are executed as a single, indivisible unit, without the possibility of interruption or interference by other threads or processes. > - Condition variables : allows threads to wait for a specific condition to be true before continuing execution. It is often used in conjunction with a mutex to avoid busy waiting and improve efficiency. Working with particular language > - In Python you can see threading and multiprocessing modules. > - In Node.js you can work with worker threads , cluster module and shared array buffers . > - Go has incredible goroutines and channels . > - Kotlin provides coroutines . 🔗 References 1. 📺 [**Multithreading Code - Computerphile** – YouTube](https://youtu.be/7ENFeb-J75k) 2. 📺 [**Threading vs multiprocessing in Python** – YouTube](https://youtu.be/AZnGRKFUU0c) 3. 📺 [**When is NodeJS Single-Threaded and when is it Multi-Threaded?** – YouTube](https://youtu.be/gMtchRodC2I) 4. 📺 [**How to use Multithreading with "worker threads" in Node.js?** – YouTube](https://youtu.be/MuwJJrfIfsU) 5. 📺 [**Concurrency in Go** – YouTube](https://youtube.com/playlist?list=PLsc-VaxfZl4do3Etp_xQ0aQBoC-x5BIgJ) 6. 📺 [**Kotlin coroutines** – YouTube](https://youtube.com/playlist?list=PLQkwcJG4YTCQcFEPuYGuv54nYai_lwil_) 7. 📄 [**Multithreading in practice** – GitHub](https://github.com/thanhit95/multi-threading) Contents ⬆️ Advanced Topics Garbage collector > A process that has made high-level languages very popular - it allows the programmer not to worry about memory allocation and freeing. Be sure to familiarize yourself with the subtleties of its operation in your own language. Debuger > Handy tool for analyzing program code and identifying errors. Compilers , interpreters and virtual machines > Depending on what your language uses, you can explore in detail the process of converting your code to machine code (a set of zeros and ones). As a rule, compilation/interpretation/virtualization processes consist of several steps. By understanding them you can optimize your programs for faster builds and efficient execution. 🔗 References 1. 📺 [**Garbage Collection (Mark & Sweep)** – YouTube](https://youtu.be/c32zXYAK7CI) 2. 📺 [**How to Use a Debugger - Debugger Tutorial** – YouTube](https://youtu.be/7qZBwhSlfOo) 3. 📄 [**Understanding The Python Interpreter** – medium](https://medium.com/fintechexplained/understanding-the-python-interpreter-7ecf8ac9f34c) 4. 📄 [**How Node.js works - JavaScript runtime environment** – freeCodeCamp](https://www.freecodecamp.org/news/what-exactly-is-node-js-ae36e97449f5/) 5. 📄 [**How Compilers Work**](https://www.baeldung.com/cs/how-compilers-work) 6. 📄 [**The Magic Behind Compilers** – medium](https://medium.com/swlh/the-magic-behind-compilers-part-1-f99bf45688f7) 7. 📄 [**Overview of the сompiler in Go** – medium](https://medium.com/swlh/the-magic-behind-compilers-part-1-f99bf45688f7) Contents ⬆️ Code quality During these long years that programming has existed, a huge amount of code, programs and entire systems have been written. And as a consequence, there have been all sorts of problems in the development of all this. First of all they were related to scaling, support, and the entry threshold for new developers. Clever people, of course, did not sit still and started to solve these problems, thus creating so-called patterns/principles/approaches for writing high-quality code. By learning programming best practices, you will not only make things better for yourself, but also for others, because other developers will be working with your code. DRY (Don't Repeat Yourself) KISS (Keep It Simple, Stupid) YAGNI (You Aren't Gonna Need It) SOLID principles GRASP (General Responsibility Assignment Software Patterns) For many languages there are special style guides and coding conventions. They usually compare the right and wrong way of writing code and explain why this is the case. Python style guide by Google Python best practices guidebook JavaScript style guide by Airbnb Node.js best practices list Effective Go - official coding conventions Go style guide by Uber Kotlin official coding conventions and other... 🔗 References 1. 📄 [**KISS, SOLID, YAGNI And Other Fun Acronyms**](https://blog.bitsrc.io/kiss-solid-yagni-and-other-fun-acronyms-b5d207530335) 2. 📺 [**Naming Things in Code** – YouTube](https://youtu.be/-J3wNP6u5YU) 3. 📺 [**Why You Shouldn't Nest Your Code** – YouTube](https://youtu.be/CFRhGnuXG-4) 4. 📺 [**Why you shouldn't write comments in your code** – YouTube](https://youtu.be/Bf7vDBBOBUA) 5. 📺 [**How principled coders outperform the competition** – YouTube](https://youtu.be/q1qKv5TBaOA) 6. 📺 [**Uncle Bob SOLID principles** – YouTube](https://youtu.be/zHiWqnTWsn4) 7. 📄 [**SOLID Principles explained in Python** – medium](https://towardsdev.com/solid-principles-explained-635ad3608b20) 8. 📄 [**SOLID Principles in JavaScript** – freeCodeCamp](https://www.freecodecamp.org/news/solid-principles-for-programming-and-software-design/) 9. 📄 [**Google style guides** – GitHub](https://github.com/google/styleguide) Contents ⬆️ Databases Databases (DB) – a set of data that are organized according to certain rules (for example, a library is a database for books). Database management system (DBMS) is a software that allows you to create a database and manipulate it conveniently (perform various operations on the data). An example of a DBMS is a librarian. He can easily and efficiently work with the books in the library: give out requested books, take them back, add new ones, etc. Database classification Databases can differ significantly from each other and therefore have different areas of application. To understand what database is suitable for this or that task, it is necessary to understand the classification. Relational DB > These are repositories where data is organized as a set of tables (with rows and columns). Interactions between data are organized on the basis of links between these tables. This type of database provides fast and efficient access to structured information. Object-oriented DB > Here data is represented as objects with a set of attributes and methods. Suitable for cases where you need high-performance processing of data with a complex structure. Distributed DB > Composed of several parts located on different computers (servers). Such databases may completely exclude information duplication, or completely duplicate it in each distributed copy (for example, as Blockchain ). NoSQL > Stores and processes unstructured or weakly structured data. This type of database is subdivided into subtypes: > > - Key–value DB > - Column family DB > - Document-oriented DB (store data as a hierarchy of documents) > - Graph DB (are used for data with a large number of links) 🔗 References 1. 📄 [**Comparing database types: how database types evolved to meet different needs**](https://www.prisma.io/dataguide/intro/comparing-database-types) 2. 📄 [**SQL vs NoSQL Database – A Complete Comparison**](https://backendless.com/sql-vs-nosql-database-a-complete-comparison/) 3. 📺 [**7 Database Paradigms** – YouTube](https://youtu.be/W2Z7fbCLSTw) Contents ⬆️ Relational database The most popular relational databases: MySQL , PostgreSQL , MariaDB , Oracle . A special language SQL (Structured Query Language) is used to work with these databases. It is quite simple and intuitive. SQL basics > Learn the basic cycle of creating/receiving/updating/deleting data. Everything else as needed. Merging tables Querying data from multiple tables > Operator JOIN ; Combinations with other operators; JOIN types. Relationships between tables > References from one table to another; foreign keys. Subquery Expressions > Query inside another SQL query. Indexes > Data structure that allows you to quickly determine the position of the data of interest in the database. Transactions > Sequences of commands that must be executed completely, or not executed at all. Command START TRANSACTION Commands COMMIT and ROLLBACK Working with a programming language > To do this, you need to install a database driver (adapter) for your language. (For example psycopg2 for Python, node-postgres for Node.js, pgx for Go) ORM (Object-Relational Mapping) libraries > Writing SQL queries in code is difficult. It's easy to make mistakes and typos in them, because they are just strings that are not validated in any way. To solve this problem, there are so-called ORM libraries, which allow you to execute SQL queries as if you were simply calling methods on an object. Unfortunately, even with them all is not so smooth, because "under the hood" queries that are generated by these libraries are not the most optimal in terms of performance (so be prepared to work with ORM, as well as with pure SQL). Popular ORMs: SQLAlchemy for Python, Prisma for Node.js, GORM for Go. Optimization and performance 🔗 References 1. 📺 [**SQL Crash Course - Beginner to Intermediate** – YouTube](https://youtu.be/nWeW3sCmD2k) 2. 📺 [**SQL Tutorial for Beginners (and Technical Interview Questions Solved)** – YouTube](https://youtu.be/-fW2X7fh7Yg) 3. 📺 [**SQL Tutorial - Full Database Course for Beginners** – YouTube](https://youtu.be/HXV3zeQKqGY) 4. 📺 [**MySQL - The Basics. Learn SQL in 23 Easy Steps** – YouTube](https://youtu.be/Cz3WcZLRaWc) 5. 📄 [**MySQL command-line client commands**](https://www.mysqltutorial.org/mysql-cheat-sheet.aspx) 6. 📺 [**Learn PostgreSQL Tutorial - Full Course for Beginners** – YouTube](https://youtu.be/qw--VYLpxG4) 7. 📄 [**Postgres Cheat Sheet**](https://postgrescheatsheet.com) 8. 📺 [**Database Indexing Explained (with PostgreSQL)** – YouTube](https://youtu.be/-qNSXK7s7_w) 9. 📄 [**SQL Indexing and Tuning e-Book**](https://use-the-index-luke.com/) 10. 📺 [**What is a Database transaction?** – YouTube](https://youtu.be/P80Js_qClUE) 11. 📺 [**SQL Server Performance Essentials – Full Course** – YouTube](https://youtu.be/HvxmF0FUwrM) 12. 📺 [**ORM: The Good, the Great, and the Ugly** – YouTube](https://youtu.be/3EvhK7-DlZA) 13. 📺 [**I Would Never Use an ORM, by Matteo Collina** – YouTube](https://youtu.be/qfRQ5zhYuJE) 14. 📄 [**Awesome SQL** – GitHub](https://github.com/danhuss/awesome-sql) Contents ⬆️ MongoDB MongoDB is a popular NoSQL database that stores data in flexible, JSON-like documents, allowing for dynamic and scalable data structures. It offers high performance, horizontal scalability, and a powerful query language, making it a preferred choice for modern web applications. Basic commands > Learn the basic cycle of creating/reading/updating/deleting data. Everything else as needed. Aggregations > MongoDB provides a powerful aggregation framework for performing complex queries and calculations. Learn how to use aggregation pipelines. Working with Indexes > Indexing is an important concept in MongoDB for improving performance. Working with a programming language > For this you need to install MongoDB driver for your language. Best practices > Learn best practices for schema design, indexing, and query optimization. Read up on these to ensure your applications are performant and scalable. Scaling > Learn about scaling to handle large datasets and high traffic. MongoDB provides sharding and replica sets for scaling horizontally and vertically. 🔗 References 1. 📺 [**MongoDB in 100 Seconds** – YouTube](https://youtu.be/-bt_y4Loofg) 2. 📺 [**MongoDB Crash Course 2022** – YouTube](https://youtu.be/2QQGWYe7IDU) 3. 📄 [**MongoDB — Complete Guide**](https://faun.pub/mongodb-com-50d2f3016c2b) 4. 📄 [**MongoDB Cheat Sheet**](https://www.mongodb.com/developer/products/mongodb/cheat-sheet/) 5. 📺 [**MongoDB Tutorial For Beginners (playlist)** – YouTube](https://youtube.com/playlist?list=PLp50dWW_m40UWFSV6PTgYzciZJIxgHy7Q) 6. 📄 [**Awesome MongoDB** – GitHub](https://github.com/ramnes/awesome-mongodb) Contents ⬆️ Redis Redis is a fast data storage working with key-value structures. It can be used as a database, cache, message broker or queue. Data types > String / Bitmap / Bitfield / List / Set / Hash / Sorted sets / Geospatial / Hyperlog / Stream Basic operations bash SET key "value" # setting the key with the value "value" GET key # retrieve a value from the specified key SETNX key "data" # setting the value / creation of a key MSET key1 "1" key2 "2" key3 "3" # setting multiple keys MGET key1 key2 key3 # getting values for several keys at once DEL key # remove the key-value pair INCR someNumber # increase the numeric value by 1 DECR someNumber # decrease the numeric value by 1 EXPIRE key 1000 # set a key life timer of 1000 seconds TTL key # get information about the lifetime of the key-value pair # -1 the key exists, but has no expiration date # -2 the key does not exist # <another number> key lifetime in seconds SETEX key 1000 "value" # consolidation of commands SET and EXPIRE Transactions > MULTI — start recording commands for the transaction. EXEC — execute the recorded commands. DISCARD — delete all recorded commands. WATCH — command that provides execution only if other clients have not changed the value of the variable. Otherwise EXEC will not execute the written commands. 🔗 References 1. 📺 [**Redis in 100 Seconds** – YouTube](https://youtu.be/G1rOthIU-uo) 2. 📺 [**Redis In-Memory Database Crash Course** – YouTube](https://youtu.be/V7FPk4J10KI) 3. 📺 [**Redis Course - In-Memory Database Tutorial** – YouTube](https://youtu.be/XCsS_NVAa1g) 4. 📺 [**Redis Crash Course - Transactions** – YouTube](https://youtu.be/5seIrOGYHPo) 5. 📺 [**Python and Redis Tutorial - Caching API Responses** – YouTube](https://youtu.be/_8lJ5lp8P0U) 6. 📺 [**Top 5 Redis Use Cases** – YouTube](https://youtu.be/a4yX7RUgTxI) 7. 📄 [**How To Run Transactions in Redis** – Digital Ocean](https://www.digitalocean.com/community/cheatsheets/how-to-run-transactions-in-redis) 8. 📄 [**Redis cheatsheet** – QuickRef](https://quickref.me/redis) 9. 📄 [**Awesome Redis** – GitHub](https://github.com/JamzyWang/awesome-redis) Contents ⬆️ ACID Requirements ACID is an acronym consisting of the names of the four main properties that guarantee the reliability of transactions in the database. Atomicity > Guarantees that the transaction will be executed completely or not executed at all. Consistency > Ensures that each successful transaction captures only valid results (any inconsistencies are excluded). Isolation > Guarantees that one transaction cannot affect the other in any way. Durability > Guarantees that the changes made by the transaction are saved. 🔗 References 1. 📺 [**ACID Transactions (Explained by Example)** – YouTube](https://youtu.be/pomxJOFVcQs) 2. 📺 [**Relational Database Atomicity Explained By Example** – YouTube](https://youtu.be/6vqzOjfZDco) 3. 📺 [**ACID Properties in DBMS With Examples | In-depth Explanation** – YouTube](https://youtu.be/clPPKgYJC10) 4. 📄 [**How SQLite Helps You Do ACID**](https://fly.io/blog/sqlite-internals-rollback-journal/) Contents ⬆️ Designing databases Database design is a very important topic that is often overlooked. A well-designed database will ensure long-term scalability and ease of data maintenance. There are several basic steps in database design: Definition of entities > An entity is an object, concept, or event that has its own set of attributes. For example, if you're designing a database for a library, entities might include books, authors, publishers, and borrowers. Define the attributes to each entity > Each entity has a set of specific attributes. For example, attributes of a book might include its title, author, ISBN, and publication date. Each attribute has a specific data type, be it a string, an integer, a boolaen, and so on. Add constraints > Attribute values may have certain limitations. For example, strings can only be unique or have a limit on the maximum number of characters. Define relationships > Entities can be linked to one another by one type of relationship: one to one , one to many or many to many . For example, a book might have one or more authors, and an author might write one or more books. You can represent these relationships by creating a foreign key in one table that references the primary key in another table. Normalization > It is the process of separating data into separate related tables. Normalization eliminates data redundancy and thus avoids data integrity violations when data changes. Optimize for performance > Create indexes on frequently queried columns, tune the database configuration, and optimize the queries that you use to access the data. 🔗 References 1. 📺 [**How to Create a Database Design From an Idea** – YouTube](https://youtu.be/5RpUmDEsn1k) 2. 📺 [**Database Design Course - Learn how to design and plan a database for beginners** – YouTube](https://youtu.be/ztHopE5Wnpc) 3. 📺 [**7 Database Design Mistakes to Avoid (With Solutions)** – YouTube](https://youtu.be/s6m8Aby2at8) 4. 📄 [**Dbdiagram – simple tool to draw ER diagrams**](https://dbdiagram.io/home) Contents ⬆️ API development API (Application Programming Interface) an interface which describes a certain set of rules by which different programs (applications, bots, websites...) can interact with each other. With API calls you can execute certain functions of a program without knowing how it works. When developing server applications, different API formats can be used, depending on the tasks and requirements. REST API REST (Representational State Transfer) an architectural approach that describes a set of rules for how a programmer organizes the writing of server application code so that all systems can easily exchange data and the application can be easily scaled. When building a REST API, HTTP protocol methods are widely used. Basic rules for writing a good REST API: Using HTTP methods > As a rule, a single URL route is used to work on a particular data model (e.g. for users - /api/user ). To perform different operations (get/create/edit/delete), this route must implement handlers for the corresponding HTTP methods (GET/POST/PUT/DELETE). Use of plural names > For example, a URL to retrieve one user by id looks like this: /user/42 , and to retrieve all users like this: /users . Sending the appropriate HTTP response codes > The most commonly used: 200 , 201 , 204 , 304 , 400 , 401 , 403 , 404 , 405 , 410 , 415 , 422 , 429 . Versioning > Over time you may want or need to fundamentally change the way your REST API service works. To avoid breaking applications using the current version, you can leave it where it is and implement the new version over a different URL route, e.g. /api/v2 . API Design API development and design is a very important and responsible moment, as your API functionality will be used by other developers and systems to integrate with your service. Mistakes made during design can negatively affect not only the growth opportunities of your service, but also many others that depend on yours. 🔗 References 1. 📄 [**What Is Restful API?** – AWS](https://aws.amazon.com/what-is/restful-api/?nc1=h_ls) 2. 📺 [**What is REST API?** – YouTube](https://youtu.be/lsMQRaeKNDk) 3. 📺 [**APIs for Beginners 2023 - How to use an API (Full Course)** – YouTube](https://youtu.be/WXsD0ZgxjRw) 4. 📺 [**Build Web APIs with Python – Django REST Framework Course** – YouTube](https://youtu.be/tujhGdn1EMI) 5. 📺 [**Build an API from Scratch with Node.js Express** – YouTube](https://youtu.be/-MTSQjw5DrM) 6. 📺 [**Build REST API on Vanilla Node.js** – YouTube](https://youtu.be/_1xa8Bsho6A) 7. 📺 [**Build a Rest API with GoLang** – YouTube](https://youtu.be/d_L64KT3SFM) 8. 📺 [**Spring Kotlin - Building a Rest API Tutorial** – YouTube](https://youtube.com/playlist?list=PLNnNHr-wCfobAxSkuxMqFGdpA8E5cLR6w) 9. 📄 [**REST API design full guide** – GitHub](https://github.com/NationalBankBelgium/REST-API-Design-Guide/wiki) 10. 📄 [**Awesome REST** – GitHub](https://github.com/marmelab/awesome-rest) Contents ⬆️ GraphQL GraphQL is a query language and server-side runtime for APIs that allows you to retrieve and modify data from a server using a single URL endpoint. It provides several benefits, including the ability to retrieve only the data you need (reducing traffic consumption), aggregation of data from multiple sources and a strict type system for describing data. Schema and types > Learn how to describe data using GraphQL schema and general types. Queries and Mutations > Queries are used to retrieve data from a server, while Mutations are used to modify (create, update or delete) data on a server. Resolvers > Resolvers are functions that determine how to retrieve the data for a particular field in the GraphQL schema. Data sources > Are places where you retrieve data from, such as databases or APIs. Data sources are connected to the GraphQL server through resolvers. Performance optimization Best Practices 🔗 References 1. 📺 [**What Is GraphQL? REST vs. GraphQL** – YouTube](https://youtu.be/yWzKJPw_VzM) 2. 📄 [**Why use GraphQL?**](https://www.apollographql.com/blog/graphql/basics/why-use-graphql/) 3. 📄 [**Learn GraphQL from zero to production**](https://www.howtographql.com/) 4. 📺 [**Python with GraphQL tutorial** – YouTube](https://youtu.be/ZUrNFhG3LK4) 5. 📺 [**Modern GraphQL with Node.js Crash Course** – YouTube](https://youtu.be/qux4-yWeZvo) 6. 📺 [**GraphQL in Go - GQLGen Tutorial** – YouTube](https://youtu.be/O6jYy421tGw) 7. 📄 [**Awesome list of GraphQL** – GitHub](https://github.com/chentsulin/awesome-graphql) Contents ⬆️ WebSockets WebSockets is an advanced technology that allows you to open a persistent bidirectional network connection between the client and the server. With its API you can send a message to the server and receive a response without making an HTTP request, thereby implementing real-time communication. The basic idea is that you do not need to send requests to the server for new information. When the connection is established, the server itself will send a new batch of data to connected clients as soon as that data is available. Web sockets are widely used to create chat rooms, online games, trading applications, etc. Opening a web socket > Sending an HTTP request with a specific set of headers: Connection: Upgrade , Upgrade: websocket , Sec-WebSocket-Key , Sec-WebSocket-Version . Connection states > CONNECTING , OPEN , CLOSING , CLOSED . Events > Open , Message , Error , Close . Connection closing codes > 1000 , 1001 , 1006 , 1009 , 1011 , etc. 🔗 References 1. 📺 [**A Beginner's Guide to WebSockets** – YouTube](https://youtu.be/8ARodQ4Wlf4) 2. 📺 [**WebSockets Crash Course - Handshake, Use-cases, Pros & Cons and more** – YouTube](https://youtu.be/2Nt-ZrNP22A) 3. 📄 [**Introducing WebSockets - Bringing Sockets to the Web**](https://web.dev/websockets-basics) 4. 📺 [**WebSockets with Python tutorial** – YouTube](https://youtu.be/lv0oEnQY1pM) 5. 📺 [**WebSockets with Node.js tutorial** – YouTube](https://youtu.be/1BfCnjr_Vjg) 6. 📺 [**WebSockets with Go tutorial** – YouTube](https://youtu.be/JuUAEYLkGbM) 7. 📄 [**Awesome WebSockets** – GitHub](https://github.com/facundofarias/awesome-websockets) Contents ⬆️ RPC (Remote Procedure Call) RPC is simply a function call to the server with a set of specific arguments, which returns the response usually encoded in a certain format, such as JSON or XML. There are several protocols that implement RPC. XML-based protocols > The are two main protocols: XML-RPC and SOAP (Simple Object Access Protocol) > They are considered deprecated and not recommended for new projects because they are heavyweight and complex compared to newer alternatives such as REST, GraphQL and newer RPC protocols. JSON-RPC > A protocol with a very simple specification . All requests and responses are serialized in JSON format. > - A request to the server includes: method - the name of the method to be invoked; params - object or array of values to be passed as parameters to the defined method; id - identificator used to match the response with the request. > - A response includes: result - data returned by the invoked method; error - object with error or null for success; id - the same as in the request. gRPC > RPC framework developed by Google. It works by defining a service using Protocol Buffers , a language-agnostic binary serialization format, that generates to client and server code for various programming languages. > - Understand protobuf fundamentals . > - See turorials for your language: Python , Node.js , Go , Kotlin , etc. > - Learn style guides . 🔗 References 1. 📺 [**What is RPC? gRPC Introduction** – YouTube](https://youtu.be/gnchfOojMk4) 2. 📄 [**Learning gRPC with an Example**](https://blog.devgenius.io/learning-grpc-with-an-example-8b4931bd90c8) 3. 📺 [**gRPC Crash Course - Modes, Examples, Pros & Cons and more** – YouTube](https://youtu.be/Yw4rkaTc0f8) 4. 📺 [**This is why gRPC was invented** – YouTube](https://youtu.be/u4LWEXDP7_M) 5. 📺 [**gRPC with Python - microservice complete tutorial** – YouTube](https://youtu.be/E0CaocyNYKg) 6. 📺 [**Implementing a gRPC client and server in Typescript with Node.js** – YouTube](https://youtu.be/H0c4Wjl4kRQ) 7. 📺 [**Build a gRPC server with Go - Step by step tutorial** – YouTube](https://youtu.be/gbrPMv_GuQY) 8. 📄 [**Awesome gRPC** – GitHub](https://github.com/grpc-ecosystem/awesome-grpc) Contents ⬆️ WebRTC WebRTC an open-source project for streaming data (video, audio) in a browser. WebRTC operation is based on peer to peer connection , however, there are implementations that allow you to organize complex group sessions. For example, the video-calling service Google Meet makes extensive use of WebRTC. 🔗 References 1. 📺 [**WebRTC Crash Course** – YouTube](https://youtu.be/FExZvpVvYxA) 2. 📄 [**Everything You Ever Wanted To Know About WebRTC**](https://blog.openreplay.com/everything-you-ever-wanted-to-know-about-webrtc/) 3. 📄 [**HTTP, WebSocket, gRPC or WebRTC: Which Communication Protocol is Best For Your App?**](https://getstream.io/blog/communication-protocols/) Contents ⬆️ Software Git version control system Git a special system for managing the history of changes to the source code. Any changes that are made to Git can be saved, allowing you to rollback (revert) to a previously saved copy of the project. Git is currently the standard for development. Basic commands Viewing commits & logs > Commit is a record in the repository history that represents information about changes to files. Working with branches > Branch is a sequence of commits. Remote repositories > A repository is a place where the source code and change history (commits) of your project is stored. Commit deletions and rollbacks Merge conflict > A situation where two branches have different changes in the same location and Git cannot automatically merge them. .gitignore > A special file to exclude specific files or patterns (e.g., build artifacts) from tracking. Git style guide > Learn best practices popular in the community. 🔗 References 1. 📺 [**Git It? How to use Git and Github** – YouTube](https://youtu.be/HkdAHXoRtos) 2. 📺 [**Git and GitHub for Beginners - Crash Course** – YouTube](https://youtu.be/RGOj5yH7evk) 3. 📺 [**13 Advanced (but useful) Git Techniques and Shortcuts** – YouTube](https://youtu.be/RGOj5yH7evk) 4. 📄 [**Understanding Git through images** – dev.to](https://dev.to/nopenoshishi/understanding-git-through-images-4an1) 5. 📄 [**Learn git concepts, not commands** – GitHub](https://github.com/UnseenWizzard/git_training) 6. 📄 [**Git Cheat Sheet – 50 Git Commands You Should Know** – freeCodeCamp](https://www.freecodecamp.org/news/git-cheat-sheet/) 7. 📄 [**Git Commit Patterns** – dev.to](https://dev.to/hornet_daemon/git-commit-patterns-5dm7) 8. 📄 [**Collection of .gitignore templates** – GitHub](https://github.com/github/gitignore) Contents ⬆️ Docker Docker a special program that allows you to run isolated sandboxes (containers) with different preinstalled environments (be it a specific operating system, a database, etc.). Containerization technology, that Docker provides is similar to virtual machines, but unlike virtual machines, containers use the host OS kernel, which requires far fewer resources. Docker image > A special fixed template that contains a description of the environment to run the application (OS, source code, libraries, environment variables, configuration files, etc.). The images can be downloaded from official site and used to create your own. Docker container > An isolated environment created from an image. It is essentially a running process on a computer which internally contains the environment described in the image. Console commands bash docker pull [image_name] # Download the image docker images # List of available images docker run [image_id] # Running a container based on the selected image # Some flags for the run command: -d # Starting with a return to the console --name [name] # Name the container --rm # Remove the container after stopping -p [local_port][port_iside_container] # Port forwarding docker build [path_to_Dockerfile] # Creating an image based on a Dockerfile docker ps # List of running containers docker ps -a # List of all containers docker stop [id/container_name] # Stop the container docker start [id/container_name] # Start an existing container docker attach [id/container_name] # Connect to the container console docker logs [id/container_name] # Output the container logs docker rm [id/container_name] # Delete container docker container prune # Delete all containers docker rmi [image_id] # Delete image Instructions for Dockerfile > Dockerfile is a file with a set of instructions and arguments for creating images. bash FROM [image_name] # Setting a base image WORKDIR [path] # Setting the root directory inside the container COPY [path_relative_Dockefile] [path_in_container] # Copying files ADD [path] [path] # Similar to the command above RUN [command] # A command that runs only when the image is initialized CMD ["command"] # The command that runs every time you start the container ENV KEY="VALUE" # Setting Environment Variables ARG KEY=VALUE # Setting variables to pass to Docker during image building ENTRYPOINT ["command"] # The command that runs when the container is running EXPOSE port/protocol # Indicates the need to open a port VOLUME ["path"] # Creates a mount point for working with persistent storage Docker-compose > A tool for defining and running multi-container Docker applications. It allows you to define the services that make up your application in a single file, and then start and stop all of the services with a single command. In a sense, it is a Dockerfile on maximal. 🔗 References 1. 📺 [**Learn Docker in 7 Easy Steps - Full Beginner's Tutorial** – YouTube](https://youtu.be/gAkwW2tuIqE) 2. 📺 [**Never install locally** – YouTube](https://youtu.be/J0NuOlA2xDc) 3. 📺 [**Docker Crash Course Tutorial (playlist)** – YouTube](https://youtube.com/playlist?list=PL4cUxeGkcC9hxjeEtdHFNYMtCpjNBm3h7) 4. 📄 [**The Ultimate Docker Cheat Sheet**](https://dockerlabs.collabnix.com/docker/cheatsheet/) 5. 📺 [**Docker Compose Tutorial** – YouTube](https://youtu.be/HG6yIjZapSA) 6. 📺 [**Docker networking – everything you need to know** – YouTube](https://youtu.be/bKFMS5C4CG0) 7. 📄 [**Awesome Docker** – GitHub](https://github.com/veggiemonk/awesome-docker) 8. 📄 [**What Is a Dockerfile And How To Build It – Best Practices** – Spacelift](https://spacelift.io/blog/dockerfile) Contents ⬆️ Postman/Insomnia When creating a server application, it is necessary to test it's workability. This can be done in different ways. One of the easiest is to use the console utility curl . But this is good for very simple applications. Much more efficient is to use special software for testing, which have a user-friendly interface and all the necessary functionality to create collections of queries. Postman > A very popular and feature-rich program. It definitely has everything you might need and more: from the trivial creation of collections to raising mock-servers. The basic functionality of the application is free of charge. Insomnia > Not as popular, but a very nice tool. The interface in Insomnia, minimalist and clear. It has less functionality, but everything you need: collections, variables, work with GraphQL, gRPC, WebSocket, etc. It is possible to install third-party plugins. 🔗 References 1. 📺 [**What is Postman? How to use Postman? Tool For Beginners** – YouTube](https://youtu.be/E0f9DUEN_jI) 2. 📺 [**Postman Beginner's Course - API Testing** – YouTube](https://youtu.be/VywxIQ2ZXw4) 3. 📺 [**Postman API Test Automation for Beginners** – YouTube](https://youtu.be/zp5Jh2FIpF0?si=A1UMThcDUhxLj8ye) 4. 📺 [**Insomnia API Client Tutorial** – YouTube](https://youtu.be/x2AlTaFJJxs) 5. 📺 [**Insomnia Tutorial: API Design, Testing and Collaboration** – YouTube](https://youtu.be/fzLPHpOP3Wc) Contents ⬆️ Web servers A web server is a program designed to handle incoming HTTP requests. In addition, it can keep error logs (logs), perform authentication and authorization, store rules for file processing, etc. What is it for? > Not all languages can have a built-in web server (e.g. PHP). Therefore, to run web applications written in such languages, a third-party one is needed. > A single server (virtual or dedicated) can run several applications, but only one external IP address. A configured web server solves this problem and can redirect incoming requests to the right applications. Popular web servers > Nginx – the most popular at the moment. > Apache – also popular, but already giving up its position. > Caddy – a fairly young web server with great potential. 🔗 References 1. 📺 [**What are web servers and how do they work** – YouTube](https://youtu.be/JhpUch6lWMw) 2. 📺 [**Web Server Concepts and Examples** – YouTube](https://youtu.be/9J1nJOivdyw) 3. 📺 [**The NGINX Crash Course** – YouTube](https://youtu.be/7VAI73roXaY) 4. 📺 [**Nginx Server Complete Course** – YouTube](https://youtu.be/tMtFZdaaIhk) 5. 📄 [**6 Best Courses to learn Nginx in depth** – medium](https://medium.com/javarevisited/best-courses-to-learn-nginx-in-36ed9ccca804) 6. 📄 [**NGINX: Advanced Load Balancer, Web Server, & Reverse Proxy** – dev.to](https://dev.to/lovepreetsingh/nginx-advanced-load-balancer-web-server-reverse-proxy-4i23) 7. 📄 [**Awesome NGINX** – GitHub](https://github.com/agile6v/awesome-nginx) Contents ⬆️ Message brokers When creating a large-scale backend system, the problem of communication between a large number of microservices may arise. In order not to complicate existing services (establish a reliable communication system, distribute the load, provide for various errors, etc.) you can use a separate service, which is called a message broker (or message queue). The broker takes the responsibility of creating a reliable and fault-tolerant system of communication between services (performs balancing, guarantees delivery, monitors recipients, maintains logs, buffering, etc.) A message is an ordinary HTTP request/response with data of a certain format. RabbitMQ - specializes in message queuing and supports various messaging patterns, including publish/subscribe and point-to-point communication. Apache Kafka - excels in handling large-scale, real-time data streams and offers high throughput, fault tolerance, and horizontal scalability. NATS - known for its simplicity, speed, and lightweight design, making it ideal for building fast and efficient distributed systems. 🔗 References 1. 📺 [**What is a Message Queue and When should you use Messaging Queue Systems** – YouTube](https://youtu.be/W4_aGb_MOls) 2. 📺 [**What is a Message Queue?** – YouTube](https://youtu.be/xErwDaOc-Gs) 3. 📄 [**Understanding RabbitMQ** – medium](https://medium.com/swlh/understanding-rabbitmq-11d710e40a38) 4. 📺 [**RabbitMQ course (playlist)** – YouTube](https://youtube.com/playlist?list=PLrwNNiB6YOA3Z3JfOUMKE6PmnpmVAJgTK) Contents ⬆️ Ngrok Ngrok is a tool for creating public tunnels on the Internet that allows local network applications (web servers, websites, bots, etc.) to be accessible from outside. How does it work? > Ngrok creates a temporary public URL that can be used to access your local server from the Internet. Once Ngrok is started, you have access to the console, where you can monitor requests, handling and responses to those requests, and configure additional features such as authentication and encryption. What to use it for? > For example, to test web sites and APIs, to demonstrate running applications on a local server, to access local network applications over the Internet without having to set up a router, firewall, proxy server, etc. 🔗 References 1. 📺 [**Expose Local WebSocket, HTTP and HTTPS WebServers to the Public Internet with Ngrok** – YouTube](https://youtu.be/pR2qNnVIuKE) Contents ⬆️ AI tools Artificial intelligence systems have made an incredible leap recently. Every day there are more and more tools that can write code for you, generate documentation, do code reviews, help you learn new technologies, and so on. Many people are still skeptical about the capabilities and quality of content that AI creates. But at least by now, a lot of time and resources can be saved to increase the productivity of any developer. ChatGPT > The highest quality LLM at the moment. Works like a normal chat bot and has no problem understanding human speech in several languages. Bard > Developed by Goolge as an alternative and direct competitor to ChatGPT. GitHub Copilot > AI-powered code completion tool developed by GitHub in collaboration with developers of ChatGPT. It integrates with popular code editors and provides real-time suggestions and completions for code as you write. Tabnine > An alternative to GitHub Copilot that provides context-sensitive code suggestions based on patterns it learns from millions of publicly available code repositories. 🔗 References 1. 📄 [**Awesome ChatGPT Prompts** – GitHub](https://github.com/f/awesome-chatgpt-prompts) 2. 📺 [**ChatGPT Tutorial for Developers - 38 Ways to 10x Your Productivity** – YouTube](https://youtu.be/sTeoEFzVNSc) 3. 📺 [**GitHub Copilot in 7 Minutes** – YouTube](https://youtu.be/hPVatUSvZq0) Contents ⬆️ Security Web application vulnerabilities Cross-site scripting (XSS) > An attack that allows an attacker to inject malicious code through a website into the browsers of other users. SQL injection > An attack is possible if the user input that is passed to the SQL query is able to change the meaning of the statement or add another query to it. Cross-site request forgery (CSRF) > When a site uses a POST request to perform a transaction, the attacker can forge a form, such as in an email, and send it to the victim. The victim, who is an authorized user interacting with this email, can then unknowingly send a request to the site with the data that the attacker has set. Clickjacking > The principle is based on the fact that an invisible layer is placed on top of the visible web page, in which the page the intruder wants is loaded, while the control (button, link) needed to perform the desired action is combined with the visible link or button the user is expected to click on. Denial of Service (DoS attack) > A hacker attack that overloads the server running the web application by sending a huge number of requests. Man-in-the-Middle attack > A type of attack in which an attacker gets into the chain between two (or more) communicating parties to intercept a conversation or data transmission. Incorrect security configuration > Using default configuration settings can be dangerous because it is common knowledge. For example, a common vulnerability is that network administrators leave the default logins and passwords admin:admin . 🔗 References 1. 📺 [**7 Security Risks and Hacking Stories for Web Developers** – YouTube](https://youtu.be/4YOpILi9Oxs) 2. 📄 [**Top 10 Web Application Security Risks**](https://owasp.org/www-project-top-ten/) 3. 📺 [**Web App Vulnerabilities - DevSecOps Course for Beginners** – YouTube](https://youtu.be/F5KJVuii0Yw) 4. 📺 [**DDoS Attack Explained** – YouTube](https://youtu.be/ilhGh9CEIwM) 5. 📺 [**Securing Web Applications – MIT lecture** – YouTube](https://youtu.be/WlmKwIe9z1Q) 6. 📺 [**Scan for Vulnerabilities on Any Website Using Nikto** – YouTube](https://youtu.be/K78YOmbuT48) 7. 📺 [**OWASP API Security Top 10 Course** – YouTube](https://youtu.be/YYe0FdfdgDU) Contents ⬆️ Environment variables Often your applications may use various tokens (e.g. to access a third-party paid API), logins and passwords (to connect to a database), various secret keys for signatures and so on. All this data should not be known and available to outsiders, so you can't leave them in the program code in any case. To solve this problem, there are environment variables. The .env file > A special file in which you can store all environment variables. Parsing the .env file > Variables are passed to the program using command line arguments. To do the same with the .env file, you need to use a special library for your language. Storage and transfer .env files > Learn how to upload .env files to the hosting services and remember that such files cannot be commited to remote repositories, so do not forget to add them to exceptions via the .gitignore file. 🔗 References 1. 📺 [**How to use environment variables in a Python script** – YouTube](https://youtu.be/ed2NGpsws8Y) 2. 📺 [**Configure Node.js Environment Variables for Local Development & Production** – YouTube](https://youtu.be/gfyQzeBlLTI) 3. 📺 [**GoLang Environment Variables** – YouTube](https://youtu.be/mnCgl-iwPak) Contents ⬆️ Hashing Cryptographic algorithms based on hash functions are widely used for network security. Hashing > The process of converting an array of information (from a single letter to an entire literary work) into a unique short string of characters (called hash), which is unique to that array of information. Moreover, if you change even one character in this information array, the new hash will differ dramatically. > Hashing is an irreversible process, that is, the resulting hash cannot be recovered from the original data. Checksums > Hashes can be used as checksums that serve as proof of data integrity. Collisions > Cases where hashing different sets of information results in the same hash. Salt (in cryptography) > A random string of data, which is added to the input data before hashing, to calculate the hash. This is necessary to make brute-force hacking more difficult. Popular hashing algorithms: SHA family (Secure Hash Algorithm) > SHA-256 is the most popular encryption algorithm. It is used, for example, in Bitcoin . MD family (Message Digest) > The most popular algorithm of the family is MD5 . It is now considered very vulnerable to collisions (there are even collision generators for MD5). BLAKE family RIPEMD family Streebog 🔗 References 1. 📺 [**What is Hashing? Hash Functions Explained Simply** – YouTube](https://youtu.be/2BldESGZKB8) 2. 📺 [**Passwords & hash functions (Simply Explained)** – YouTube](https://youtu.be/cczlpiiu42M) 3. 📺 [**Hashing Algorithms and Security - Computerphile** – YouTube](https://youtu.be/b4b8ktEV4Bg) 4. 📺 [**SHA: Secure Hashing Algorithm - Computerphile** – YouTube](https://youtu.be/DMtFhACPnTY) 5. 📺 [**How secure is 256 bit security?** – YouTube](https://youtu.be/DMtFhACPnTY) Contents ⬆️ Authentication and authorization Authentication is a procedure that is usually performed by comparing the password entered by the user with the password stored in the database. Also, this often includes identification - a procedure for identifying the user by his unique identifier (usually a regular login or email). This is needed to know exactly which user is being authenticated. Authorization - the procedure of granting access rights to a certain user to perform certain operations. For example, ordinary users of the online store can view products and add them to cart. But only administrators can add new products or delete existing ones. Basic Authentication > The simplest authentication scheme where the username and password of the user are passed in the Authorization header in unencrypted (base64-encoded) form. It is relatively secure when using HTTPS. SSO (Single Sign-On) > Technology that implements the ability to move from one service to another (not related to the first), without reauthorization. OAuth / OAuth 2.0 > Authorization protocol, which allows you to register in various applications using popular services (Google, Facebook, GitHub, etc.) OpenID > An open standard that allows you to create a single account for authenticating to multiple unrelated services. JWT (Json Web Token) > An authentication standard based on access tokens. Tokens are created by the server, signed with a secret key and transmitted to the client, who then uses the token to verify his identity. 🔗 References 1. 📺 [**HTTP Basic Authentication explained** – YouTube](https://youtu.be/EeNzWUcPaFY) 2. 📺 [**What Is Single Sign-on (SSO)? How It Works** – YouTube](https://youtu.be/O1cRJWYF-g4) 3. 📺 [**OAuth 2 explained in very simple terms** – YouTube](https://youtu.be/THs9QUUXVhk) 4. 📺 [**OpenID Connect explained** – YouTube](https://youtu.be/PsbIGfvX900) 5. 📺 [**What Is JWT and Why Should You Use JWT** – YouTube](https://youtu.be/7Q17ubqLfaM) Contents ⬆️ SSL/TLS SSL (Secure Socket Layer) and TLS (Transport Layer Security) are cryptographic protocols that allow secure transmission of data between two computers on a network. These protocols work essentially the same and there are no differences. SSL is considered obsolete, although it is still used to support older devices. Certificate Authority (CA) > TLS/SSL uses digital certificates issued by a certificate authority. One of the most popular is Let’s Encrypt . Certificate configuration and installation > You need to know how to generate certificates and install them properly to make your server work over HTTPS. Handshake process > To establish a secure connection between the client and the server, a special process must take place which includes the exchange of secret keys and information about encryption algorithms. 🔗 References 1. 📺 [**SSL, TLS, HTTPS Explained** – YouTube](https://youtu.be/j9QmMEWmcfo) 2. 📺 [**Transport Layer Security, TLS 1.2 and 1.3 (Explained by Example)** – YouTube](https://youtu.be/AlE5X1NlHgg) 3. 📺 [**Let's Encrypt Explained: Free SSL** – YouTube](https://youtu.be/jrR_WfgmWEw) 4. 📺 [**How to Install a Free SSL Certificate with Let's Encrypt** – YouTube](https://youtu.be/PGDx3xxLGgA) Contents ⬆️ Testing Testing is the process of assessing that all parts of the program behave as expected of them. Covering the product with the proper amount of testing, allows you to quickly check later to see if anything in the application is broken after adding new or changing old functionality. Unit Tests The simplest kind of tests. As a rule, about 70-80% of all tests are exactly unit-tests . "Unit" means that not the whole system is tested, but small and separate parts of it (functions, methods, components, etc.) in isolation from others. All dependent external environment is usually covered by mocks . What are the benefits of unit tests? > To give you an example, let's imagine a car. Its "units" are the engine, brakes, dashboard, etc. You can check them individually before assembly and, if necessary, replace or repair them. But you can assemble the car without having tested the units, and it will not go. You will have to disassemble everything and check every detail. What do I need to start writing unit tests? > As a rule, the means of the standard language library are enough to write quality tests. But for more convenient and faster writing of tests, it is better to use third-party tools. For example: > > - For Python it uses pytest , although the standard unittest is enough to start with. > - For JavaScript/TypeScript, the best choices are Jest . > - For Go – testify . > - And so on... 🔗 References 1. 📺 [**Software Testing Explained in 100 Seconds** – YouTube](https://youtu.be/u6QfIXgjwGQ) 2. 📄 [**How to write your first Unit Test** – medium](https://medium.com/geekculture/how-to-write-your-first-unit-test-in-multiple-programming-languages-6d158d362b3d) 3. 📺 [**Testing JavaScript with Cypress – Full Course** – YouTube](https://youtu.be/u8vMu7viCm8?si=wYAoeR87-dPOIRA4) 4. 📺 [**How To Write Unit Tests For Existing Python Code** – YouTube](https://youtu.be/ULxMQ57engo) 5. 📺 [**Learn How to Test your JavaScript Application** – YouTube](https://youtu.be/ajiAl5UNzBU) 6. 📺 [**GoLang Unit Testing and Mock Testing Tutorial** – YouTube](https://youtu.be/XQzTUa9LPU8) Contents ⬆️ Integration tests Integration testing involves testing individual modules (components) in conjunction with others (that is, in integration). What was covered by a stub during Unit testing is now an actual component or an entire module. Why it's needed? > Integration tests are the next step after units. Having tested each component individually, we cannot yet say that the basic functionality of the program works without errors. Potentially, there may still be many problems that will only surface after the different parts of the program interact with each other. Strategies for writing integration tests > - Big Bang : Most of the modules developed are connected together to form either the whole system or most of it. If everything works, you can save a lot of time this way. > - incremental approach : By connecting two or more logically connected modules and then gradually adding more and more modules until the whole system is tested. > - Bottom-up approach : each module at lower levels is tested with the modules of the next higher level until all modules have been tested. 🔗 References 1. 📺 [**Unit testing vs integration testing** – YouTube](https://youtu.be/pf6Zhm-PDfQ) 2. 📺 [**PyTest REST API Integration Testing with Python** – YouTube](https://youtu.be/7dgQRVqF1N0) 3. 📄 [**Integration Testing – Software testing fundamentals**](https://softwaretestingfundamentals.com/integration-testing/) Contents ⬆️ E2E tests End-to-end tests imply checking the operation of the entire system as a whole. In this type of testing, the environment is implemented as close to real-life conditions as possible. We can draw the analogy that a robot sits at the computer and presses the buttons in the specified order, as a real user would do. When to use? > E2E is the most complex type of test. They take a long time to write and to execute, because they involve the whole application. So if your application is small (e.g. you are the only one developing it), writing Unit and some integration tests will probably be enough. 🔗 References 1. 📄 [**What is End-to-End Testing and When Should You Use It?** – freeCodeCamp](https://www.freecodecamp.org/news/end-to-end-testing-tutorial/) 2. 📺 [**End to End Testing - Explained** – YouTube](https://youtu.be/68xvfrxlEYo) 3. 📺 [**Testing Node.js Server with Jest and Supertest** – YouTube](https://youtu.be/FKnzS_icp20) 4. 📺 [**End to End - Test Driven Development (TDD) to create a REST API in Go** – YouTube](https://youtu.be/tG9dPO6fe4E) 5. 📺 [**How to test HTTP handlers in Go** – YouTube](https://youtu.be/Ztk9d78HgC0) 6. 📄 [**Awesome Testing** – GitHub](https://github.com/TheJambo/awesome-testing) Contents ⬆️ Load testing When you create a large application that needs to serve a large number of requests, there is a need to test this very ability to withstand heavy loads. There are many utilities available to create artificial load . JMeter > User-friendly interface, cross-platform, multi-threading support, extensibility, excellent reporting capabilities, support for many protocols for queries. LoadRunner > It has an interesting feature of virtual users, who do something with the application under test in parallel. This allows you to understand how the work of some users actively doing something with the service affects the work of others. Gatling > A very powerful tool oriented to more experienced users. The Scala programming language is used to describe the scripts. Taurus > A whole framework for easier work on JMeter, Gatling and so on. JSON or YAML is used to describe tests. 🔗 References 1. 📺 [**Getting started with API Load Testing (Stress, Spike, Load, Soak)** – YouTube](https://youtu.be/r-Jte8Y8zag) 2. 📄 [**How to Load Test: A developer’s guide to performance testing** – medium](https://rhamedy.medium.com/how-to-load-test-a-developers-guide-to-performance-testing-5264faaf4e33) Contents ⬆️ Regression testing Regression testing is a type of testing aimed at detecting errors in already tested portions of the source code. Why use it? > Statistically, the reappearance of the same bugs in code is quite frequent. And, most interestingly, the patches/fixes issued for them also stop working in time. Therefore it is considered good practice to create a test for it when fixing a bug and run it regularly for next modifications. 🔗 References 1. 📄 [**What Is Regression Testing? Definition, Tools, Method, And Example**](https://www.softwaretestinghelp.com/regression-testing-tools-and-methods/) 2. 📺 [**Regression testing – What, Why, When, and How to Run It?** – YouTube](https://youtu.be/AWX6WvYktwk) 3. 📺 [**Top-5 Tools for Regression Testing** – YouTube](https://youtu.be/HZvqfuADX8g) Contents ⬆️ Deployment (CI/CD) Cloud services Before you can deploy your code, you need to decide where you want to host it. You can rent your own server or use the services of cloud providers, which have great functionality for process automation, monitoring, load balancing, data storing and so on. AWS (Amazon Web Services) > Provides a wide range of services for computing, storage, database management, networking, security, and more. AWS is one of the oldest and most established cloud service providers. Google Cloud > It is known for its focus on machine learning and artificial intelligence, as well as its integration with other Google services like Google Analytics and Google Maps. Microsoft Azure > Azure is known for its integration with other Microsoft services like Office 365 and Dynamics 365, as well as its support for a wide range of programming languages and frameworks. Digital Ocean > This service provides virtual private servers (VPS) for developers and small businesses. It is also known for its simplicity and ease of use, as well as its competitive pricing. Heroku > Heroku is known for its ease of use and integration with popular development tools like Git, as well as its support for multiple programming languages and frameworks. It was a very popular choice for open source projects as long as there was a free plan (it costs money now). As a rule, all of these services have an intuitive simple interface, detailed documentation, as well as many video tutorials on YouTube. 🔗 References 1. 📺 [**Big Vs Small Public Cloud Providers** – YouTube](https://youtu.be/LJomGBuBDaU) 2. 📺 [**Top 50+ AWS Services Explained in 10 Minutes** – YouTube](https://youtu.be/JIbIYCM48to) 3. 📺 [**AWS Certified Cloud Practitioner Certification Course** – YouTube](https://youtu.be/SOTamWNgDKc) 4. 📄 [**Awesome AWS (list of libraries, open source repos, guides, blogs) – GitHub**](https://github.com/donnemartin/awesome-aws) 5. 📺 [**Google Cloud Associate Cloud Engineer Course** – YouTube](https://youtu.be/jpno8FSqpc8) 6. 📄 [**Awesome Google Cloud Platform – GitHub**](https://github.com/GoogleCloudPlatform/awesome-google-cloud) 7. 📺 [**Microsoft Azure Fundamentals Certification Course** – YouTube](https://youtu.be/NKEFWyqJ5XA) 8. 📺 [**Full DigitalOcean Crash Course** – YouTube](https://youtu.be/9ZUHSW1tTiU) 9. 📄 [**Awesome Digital Ocean – GitHub**](https://github.com/jonleibowitz/awesome-digitalocean) Contents ⬆️ Container orchestration Container orchestration is the process of managing and automating the deployment, scaling, and maintenance of containerized applications and dependencies into a portable, lightweight container format to use them in a cluster of machines. Docker in production > The easiest way to manage containers is to use Docker directly, following a list of rules to keep your applications stable and safe in a production environment. > - Store your Docker images in a private registry to prevent unauthorized access and ensure security. > - Use secure authentication mechanisms for access to your Docker registry and implement security measures such as firewall rules to limit access to your Docker environment. > - Keep the size of your containers as small as possible by minimizing the number of unnecessary packages and dependencies. > - Use separate containers for different services (ex. application server, database, cache, metrics etc.). > - Use Docker volumes to store persistent data such as database files, logs, and configuration files. Docker swarm > It is a native orchestration tool for Docker to manage, scale and automate tasks such as container updates, recovery, traffic balancing, service discovery and so on. Kubernetes (K8s) > Is a very popular orchestration platform that can work with a variety of container runtimes including Docker. Kubernetes offers a more comprehensive set of features (than Docker swarm), including advanced scheduling, storage orchestration, and self-healing capabilities. 🔗 References 1. 📄 [**How To Optimize Docker Images for Production** – Digital Ocean](https://www.digitalocean.com/community/tutorials/how-to-optimize-docker-images-for-production) 2. 📄 [**Docker Compose in production**](https://docs.docker.com/compose/production/) 3. 📄 [**Top 8 Docker Best Practices for using Docker in Production** – dev.to](https://dev.to/techworld_with_nana/top-8-docker-best-practices-for-using-docker-in-production-1m39) 4. 📺 [**Best practices around creating a production web app with Docker and Docker Compose** – YouTube](https://youtu.be/vYpPGCaKs3I) 5. 📺 [**Docker Swarm Tutorial** – YouTube](https://youtu.be/Tm0Q5zr3FL4) 6. 📄 [**Awesome Swarm** – GitHub](https://github.com/BretFisher/awesome-swarm) 7. 📄 [**Kubernetes VS Docker Swarm – What is the Difference?**](https://www.freecodecamp.org/news/kubernetes-vs-docker-swarm-what-is-the-difference/) 8. 📄 [**Kubernetes Roadmap**](https://roadmap.sh/kubernetes) 9. 📄 [**Kubernetes Learning Roadmap** – GitHub](https://github.com/techiescamp/kubernetes-learning-path) 10. 📺 [**Docker Containers and Kubernetes Fundamentals – Full Hands-On Course** – YouTube](https://youtu.be/kTp5xUtcalw) 11. 📺 [**Kubernetes Course - Full Beginners Tutorial (Containerize Your Apps!)** – YouTube](https://youtu.be/d6WC5n9G_sM) 12. 📄 [**Awesome Kubernetes Resources – GitHub**](https://github.com/tomhuang12/awesome-k8s-resources) Contents ⬆️ Automation tools To streamline the process of building, testing, deploying code changes, integrate with other tools in the development ecosystem, such as code repositories, issue trackers, monitoring systems to provide a more comprehensive development workflow you can use some automation tools and services. Github Actions > CI/CD tool built into the Github platform, which enables developers to automate workflows for their repositories. A great choice if you already use GitHub. There are a large number of pre-built actions. One of the most useful feature is ability to trigger workflows based on various events, such as pull requests or other repository activity. Jenkins > Highly configurable and extensible open source tool with a large ecosystem of plugins available to customize its functionality. Jenkins can be used in various environments, including on-premise, cloud-based and hybrid setups. Circle CI > It is a cloud-based CI/CD platform designed to be fast and easy to set up, with a focus on developer productivity. Circle CI integrates with various cloud-based services, such as AWS, Google Cloud and Microsoft Azure. You can also host it locally on your network. Travis CI > It is also a cloud-based CI/CD platform. It can be easily integrated with GitHub or Bitbucket. Travis CI supports multiple programming languages and frameworks. It also can be hosted as your local platform. 🔗 References 1. 📺 [**GitHub Actions: The Full Course - Learn by Doing (playlist)** – YouTube](https://youtube.com/playlist?list=PLArH6NjfKsUhvGHrpag7SuPumMzQRhUKY) 2. 📄 [**Awesome GitHub Actions – GitHub**](https://github.com/sdras/awesome-actions) 3. 📺 [**Learn Jenkins! Complete Jenkins Course - Zero to Hero** – YouTube](https://youtu.be/6YZvp2GwT0A) 4. 📺 [**CircleCI Tutorial for Beginners | Learn CircleCI In 30 Minutes** – YouTube](https://youtu.be/_XaYv9zvHUk) 5. 📺 [**Travis CI Complete Tutorial for DevOps Engineers** – YouTube](https://youtu.be/xLWDOLhTH38) Contents ⬆️ Monitoring and logs Logs capture detailed information about events, errors, and activities within your applications, facilitating troubleshooting and debugging processes. They provide a historical record of system behavior, allowing you to investigate issues, understand root causes, and improve overall system reliability and stability. Libraries for your lang > The easiest way to log an application is to use the tools of the standard language library or third-party packages. For example, in Python you can use logging module or Loguru . In Node.js – Winston , Pino . And in Go – log package , Logrus . Loki > Designed to collect log data from various sources and provides fast searching and filtering capabilities. Graylog > Comprehensive log management platform that also centralizes log data from different sources. Graylog offers features like log ingestion, indexing, searching, and analysis. ELK Stack ( Elasticsearch , Logstash , Kibana ) > Is a combination of three open-source tools used for log management and analysis. Elasticsearch is a distributed search and analytics engine that stores and indexes logs. Logstash is a log ingestion and processing pipeline that collects, filters, and transforms log data. Kibana is a web interface that allows you to search, visualize, and analyze logs stored in Elasticsearch. Metrics help track key performance indicators, resource utilization, and system behavior, enabling you to identify bottlenecks, optimize performance, and ensure efficient resource allocation. Prometheus > Open-source monitoring system that can collect metrics data from various sources. It employs a pull-based model, periodically scraping targets to collect metrics. The collected data is stored in a time-series database, allowing for powerful querying and analysis. Prometheus provides a flexible query language and a user-friendly interface to visualize and monitor metrics. It also includes an alerting system to define and trigger alerts based on specified rules and thresholds. Grafana > Tool for visualization and monitoring. It allows you to create visually appealing dashboards and charts to analyze and monitor metrics data from various sources, including databases and monitoring systems like Prometheus and InfluxDB. InfluxDB > Time-series database designed specifically for storing and querying metrics and events data. Offers a simple and flexible query language to extract valuable insights from the stored data. With its focus on time-series data, InfluxDB allows for easy aggregation, downsampling, and retention policies. 🔗 References 1. 📺 [**Grafana Loki a log aggregation system for everything** – YouTube](https://youtu.be/h_GGd7HfKQ8) 2. 📺 [**Graylog guide to getting started log management** – YouTube](https://youtu.be/DwYwrADwCmg) 3. 📺 [**Overview of the Elastic Stack (formerly ELK stack)** – YouTube](https://youtu.be/Hqn5p67uev4) 4. 📄 [**Awesome Elasticsearch – GitHub**](https://github.com/dzharii/awesome-elasticsearch) 5. 📺 [**How Prometheus Monitoring works** – YouTube](https://youtu.be/h4Sl21AKiDg) 6. 📄 [**Awesome Prometheus – GitHub**](https://github.com/roaldnefs/awesome-prometheus) 7. 📺 [**Server Monitoring: Prometheus and Grafana Tutorial** – YouTube](https://youtu.be/9TJx7QTrTyo) 8. 📺 [**InfuxDB: Overview, Key Concepts and Demo** – YouTube](https://youtu.be/gb6AiqCJqP0) Contents ⬆️ Optimization Profiling Profiling is a program performance analysis, which reveals bottlenecks where the highest CPU and/or memory load occurs. What is it for? > The information obtained after profiling can be very useful for performance optimization. Profiling can also be useful for debugging the program to find bugs and errors. When should this be done? > As needed - when there are obvious problems or suspicions. What specific tools are there for this? > For Python, use: cProfile , line_profiler . > For Node.js: built-in Profiler , Clinic.js , Trace events module . > For Go: runtime/pprof , trace utility . 🔗 References 1. 📺 [**Optimize Your Python Programs: Code Profiling with cProfile** – YouTube](https://youtu.be/BZzb_Wpag_M) 2. 📺 [**A New Way to Profile Node.js** – YouTube](https://youtu.be/ASv8188AkVk) 3. 📺 [**Go (Golang) Profiling Tutorial** – YouTube](https://youtu.be/HEwSkhr_8_M) 4. 📄 [**Awesome utilities for performance profiling** – GitHub](https://github.com/msaroufim/awesome-profiling) Contents ⬆️ Benchmarks Benchmark (in software) is a tool for measuring the execution time of program code. As a rule, the measurement is done by multiple runs of the same code (or a certain part of it), where the average time is then calculated, and can also provide information about the number of operations performed and the amount of memory allocated. What is it for? > Benchmarks are useful for both evaluating performance and choosing the most effective solution to the problem at hand. What specific tools are there for this? > For Python: timeit , pytest-benchmark . > For Node.js: console.time , Artillery . > For Go: testing.B , Benchstat . There are benchmarks to measure the performance of networked applications, where you can get detailed information about the average request processing time, the maximum number of supported connections, data transfer rates and so on ( see list of HTTP benchmarks ). 🔗 References 1. 📺 [**Premature Optimization** – YouTube](https://youtu.be/tKbV6BpH-C8) 2. 📺 [**Professional Benchmarking in Python** – YouTube](https://youtu.be/DBoobQxqiQw) 3. 📺 [**JavaScript tips — Measuring performance using console.time** – YouTube](https://youtu.be/WumrqNOO8dk) 4. 📺 [**Go (Golang) Benchmark Tutorial** – YouTube](https://youtu.be/L-BkH-_lXpk) Contents ⬆️ Caching Caching is one of the most effective solutions for optimizing the performance of web applications. With caching, you can reuse previously received resources (static files), thereby reducing latency, reducing network traffic, and reducing the time it takes to fully load content. CDN (Content Delivery Network) > A system of servers located around the world. Such servers allow you to store duplicate static content and deliver it much faster to users who are in close geographical proximity. Also when using CDN reduces the load on the main server. Browser-based (client-side) caching > Based on loading pages and other static data from the local cache. To do this, the browser (client) is given special headers: 304 Not Modified , Expires , Strict-Transport-Security . Memcached > A daemon program that implements high-performance RAM caching based on key-value pairs. Unlike Redis it cannot be a reliable and long-term storage, so it is only suitable for caches. 🔗 References 1. 📺 [**How Caching Works? | Why is Caching Important?** – YouTube](https://youtu.be/ASP7O5fDpSg) 2. 📺 [**Basic Caching Techniques Explained** – YouTube](https://youtu.be/ccemOqDrc2I) 3. 📺 [**HTTP Caching with E-Tags - (Explained by Example)** – YouTube](https://youtu.be/TgZnpp5wJWU) 4. 📺 [**What Is A CDN? How Does It Work?** – YouTube](https://youtu.be/RI9np1LWzqw) 5. 📺 [**Everything you need to know about HTTP Caching** – YouTube](https://youtu.be/HiBDZgTNpXY) 6. 📺 [**Memcached Architecture - Crash Course with Docker, Telnet, NodeJS** – YouTube](https://youtu.be/NCePGsRZFus) Contents ⬆️ Load balancing When the entire application code is maximally optimized and the server capacity is reaching its limits, and the load keeps growing, you have to resort to the clustering and balancing mechanisms. The idea is to combine groups of servers into clusters, where the load is distributed between them using special methods and algorithms, called balancing. Balancing at the network level > - DNS Balancing . For one domain name is allocated several IP-addresses and the server to which the request will be redirected is determined by an algorithm Round Robin . > - Building a NLB cluster . Used to manage two or more servers as one virtual cluster. > - Balancing by territory . An example is the Anycast mailing method . Balancing on the transport level > Communication with the client is locked to the balancer, which acts as a proxy. It communicates with servers on its own behalf, passing information about the client in additional data and headers. Example – HAProxy . Balancing at the application level > The balancer analyzes client requests and redirects them to different servers depending on the nature of the requested content. Examples are Upstream module in Nginx (which is responsible for balancing) and pgpool from the PostgreSQL database (for example, it can be used to distribute read requests to one server and write requests to another). Balancing algorithms > - Round Robin . Each request is sent in turn to each server (first to the first, then to the second and so on in a circle). > - Weighted Round Robin . Improved algorithm Round Robin, which also takes into account the performance of the server. > - Least Connections . Each subsequent request is sent to the server with the smallest number of supported connections. > - Destination Hash Scheduling . The server that processes the request is selected from a static table based on the recipient's IP address. > - Source Hash Scheduling . The server that will process the request is selected from the table by the sender's IP address. > - Sticky Sessions . Requests are distributed based on the user's IP address. Sticky Sessions assumes that requests from the same client will be routed to the same server rather than bouncing around in a pool. 🔗 References 1. 📺 [**What is a Load Balancer?** – YouTube](https://youtu.be/sCR3SAVdyCc) 2. 📺 [**Learn Load Balancing right now** – YouTube](https://youtu.be/LlbTSfc4biw) 3. 📺 [**Load Balancing with NGINX** – YouTube](https://youtu.be/a41jxGP9Ic8) 4. 📺 [**Load Balancers id depth** – YouTube](https://youtu.be/galcDRNd5Ow) Contents ⬆️ Documentation Markdown A standard in the development world. An incredibly simple, yet powerful markup language for describing your projects. As a matter of fact, the resource you are reading right now is written with Markdown . Markdown cheatsheet > A cheatsheet on all the syntactic possibilities of the language. Awesome Markdown > A collection of various resources for working with Markdown. Awesome README > A collection of beautifull README.md files (this is the main file of any repository on GitHub that uses Markdown). Markdown for your notes > Markdown is not only used for writing documentation. This incredible tool is great for learning - creating digital notes. Personally, I use Obsidian editor for outlining new material. 🔗 References 1. 📺 [**How To Write a USEFUL README On Github** – YouTube](https://youtu.be/E6NO0rgFub4) 2. 📺 [**Obsidian As A Second Brain: The ULTIMATE Tutorial** – YouTube](https://youtu.be/WqKluXIra70) Contents ⬆️ Documentation inside code For every modern programming language there are special tools which allow you to write documentation directly in the program code. So you can read the description of methods, functions, structures and so on right inside your IDE. As a rule, this kind of documentation is done in the form of ordinary comments, taking into account some syntactic peculiarities. Why do you need it? > To make your work and the work of other developers easier. In the long run this will save more time than traveling through the code to figure out how everything works, what parameters to pass to functions or to find out what methods this or that class has. Over time you will inevitably forget your own code, so already written documentation will be useful to you personally. What does it take to get started? > For each language, it's different. Many have their own well-established approaches: > > - Docstring for Python. > - JSDoc for JavaScript. > - Godoc for Go. > - KDoc and Dokka for Kotlin. > - Javadoc for Java. > - And look for others on request: documentation engine for <your lang> . 🔗 References 1. 📺 [**How To Use Developer Documentation** – YouTube](https://youtu.be/s1PLS3SQHQ0) 2. 📺 [**How to use JSDoc - Basics & Introduction** – YouTube](https://youtu.be/Nqv6UkTROak) 3. 📺 [**Godocs - Effortless documentation for your go packages** – YouTube](https://youtu.be/80VT3xexcWs) Contents ⬆️ API Documentation Easy-to-understand documentation will allow other users to understand and use your product faster. Writing documentation from scratch is a tedious process. There are common specifications and auto-generation tools to solve this problem. OpenAPI > A specification that describes how the API should be documented so that it is readable by humans and machines alike. Swagger > A set of tools that allows you to create convenient API documentation based on the OpenAPI specification. Swagger UI > A tool that allows you to automatically generate interactive documentation, which you can not only read but also actively interact with it (send HTTP requests). Swagger editor > A kind of playground in which you can write documentation and immediately see the result of the generated page. You can use YAML or JSON format file for this. Swagger codegen > Allows you to automatically create API client libraries, server stubs and documentation. 🔗 References 1. 📺 [**REST API and OpenAPI: It’s Not an Either/Or Question** – YouTube](https://youtu.be/pRS9LRBgjYg) 2. 📺 [**Swagger API documentation with Django REST Framework** – YouTube](https://youtu.be/fbIFdWj8PsY) 3. 📺 [**NodeJS Swagger API Documentation Tutorial Using Swagger JSDoc** – YouTube](https://youtu.be/S8kmHtQeflo) 4. 📺 [**Golang Microservices: REST APIs - OpenAPI / Swagger** – YouTube](https://youtu.be/HwtOAc0M08o) Contents ⬆️ Static generators Over time, when your project grows and has many modules, one README page on GitHub may not be enough. It will be appropriate to create a separate site for the documentation of your project. You don't need to learn how to make it, because there are many generators for creating nice-looking and handy documentation. GitBook > Probably the most popular documentation generator using GitHub/Git and Markdown. Docusaurus > Open-source generator from Facebook (Meta). MkDocs > A simple and widely customizable Markdown documentation generator. Slate > Minimalistic documentation generator for REST API. Docsify > Another simple, light and minimalistic static generator. Astro > A generator with a modern and advanced design. mdBook > A static generator from the developers of the Rust language. And others... 🔗 References 1. 📺 [**Build a Markdown Documentation Site with Docusaurus (Step-by-Step)** – YouTube](https://youtu.be/2R53Y7eP45k) 2. 📺 [**Create template layouts for your HTML with Astro SSG** – YouTube](https://youtu.be/o7iQAF2EvUU) Contents ⬆️ Building architecture Architectural patterns Layered > Used to structure programs that can be decomposed into groups of subtasks, each of which is at a particular level of abstraction. Each layer provides services to the next higher layer. Client-server > The server component will provide services to multiple client components. Clients request services from the server and the server provides relevant services to those clients. Master-slave > The master component distributes the work among identical slave components, and computes a final result from the results which the slaves return. Pipe-filter > Each processing step is enclosed within a filter component. Data to be processed is passed through pipes. These pipes can be used for buffering or for synchronization purposes. Broker pattern > A broker component is responsible for the coordination of communication among components. Peer-to-peer > Peers may function both as a client, requesting services from other peers, and as a server, providing services to other peers. A peer may act as a client or as a server or as both, and it can change its role dynamically with time. Event-bus > Has 4 major components; event source, event listener, channel and event bus. Sources publish messages to particular channels on an event bus. Model-view-controller > Separate internal representations of information from the ways information is presented to, and accepted from, the user. Blackboard > Useful for problems for which no deterministic solution strategies are known. Interpreter > Used for designing a component that interprets programs written in a dedicated language. 🔗 References 1. 📄 [**10 Common Software Architectural Patterns in a nutshell**](https://towardsdatascience.com/10-common-software-architectural-patterns-in-a-nutshell-a0b47a1e9013) 2. 📺 [**10 Architecture Patterns Used In Enterprise** – YouTube](https://youtu.be/BrT3AO8bVQY) Contents ⬆️ Design patterns Creational Patterns > Provide various object creation mechanisms, which increase flexibility and reuse of existing code. Factory Abstract factory Builder Prototype Singleton Structural Patterns > Explain how to assemble objects and classes into larger structures, while keeping these structures flexible and efficient. Adapter Bridge Composite Decorator Facade Flyweight Proxy Behavioral Patterns > Concerned with algorithms and the assignment of responsibilities between objects. Chain of Responsibility Command Iterator Mediator Memento Observer State Strategy Template Visitor 🔗 References 1. 📄 [**Design Patterns Cheat Sheet**](http://www.lug.or.kr/files/cheat_sheet/design_pattern_cheatsheet_v1.pdf) 2. 📄 [**Free book on design patterns for building powerful web apps**](https://www.patterns.dev/) 3. 📺 [**10 Design Patterns Explained in 10 Minutes** – YouTube](https://youtu.be/tv-_1er1mWI) 4. 📺 [**Design Patterns with examples in Python** – YouTube](https://youtu.be/tAuRQs_d9F8) 5. 📺 [**Design Patterns with examples in JavaScript** – YouTube](https://youtube.com/playlist?list=PLFKDYTlP3abzwWleHq1WHcKyi8nCPY74s) 6. 📺 [**Design Patterns with examples in Go** – YouTube](https://youtube.com/playlist?list=PLfyLecA5DLOcUXmgk3BLDgWQvBoHbea2m) Contents ⬆️ Monolithic and microservice architecture A monolith is a complete application that contains a single code base (written in a single technology stack and stored in a single repository) and has a single entry point to run the entire application. This is the most common approach for building applications alone or with a small team. Advantages: > - Ease of development (everything in one style and in one place). > - Ease of deployment. > - Easy to scale at the start. Disadvantages: > - Increasing complexity (as the project grows, the entry threshold for new developers increases). > - Time to assemble and start up is growing. > - Making it harder to add new functionality that affects old functionality. > - It is difficult (or impossible) to apply new technologies. A microservice is also a complete application with a single code base. But, unlike a monolith, such an application is responsible for only one functional unit. That is, it is a small service that solves only one task, but well. Advantages: > - Each individual microservice can have its own technology stack and be developed independently. > - Easy to add new functionality (just create a new microservice). > - A lower entry threshold for new developers. > - Low time required for buildings and startups. Disadvantages: > - The complexity of implementing interaction between all microservices. > - More difficult to operate than several copies of the monolith. > - Complexity of performing transactions. > - Changes affecting multiple microservices must be coordinated. 🔗 References 1. 📺 [**What are Microservices?** – YouTube](https://youtu.be/CdBtNQZH8a4) 2. 📺 [**Microservices Explained and their Pros & Cons** – YouTube](https://youtu.be/T-m7ZFxeg1A) 3. 📺 [**Microservice Architecture and System Design with Python & Kubernetes – Full Course** – YouTube](https://youtu.be/hmkF77F9TLw) 4. 📺 [**NodeJS Microservices Full Course - Event-Driven Architecture with RabbitMQ** – YouTube](https://youtu.be/Zc2mQSQXoS4) 5. 📺 [**Building Microservices in Go (playlist)** – YouTube](https://youtube.com/playlist?list=PL7yAAGMOat_Fn8sAXIk0WyBfK_sT1pohu) 6. 📄 [**Awesome Microservices: collection of principles and technologies** – GitHub](https://github.com/mfornos/awesome-microservices) 7. 📄 [**Patterns for Microservices**](https://microservices.io/patterns/index.html) Contents ⬆️ Horizontal and vertical scaling Over time, when the load on your application starts to grow (more users come, new functionality appears and, as a consequence, more CPU time is involved), it becomes necessary to increase the server capacity. There are 2 main approaches for this: Vertical scaling > It means increasing the capacity of the existing server. For example, this may include increasing the size of RAM, installing faster storage or increasing its volume, as well as the purchase of a new processor with a high clock frequency and/or a large number of cores and threads. Vertical scaling has its own limit, because we cannot increase the capacity of a single server for a long time. Horizontal scaling > The process of deploying new servers. This approach requires building a robust and scalable architecture that allows you to distribute the logic of the entire application across multiple physical machines. 🔗 References 1. 📺 [**System Design: What is Horizontal vs Vertical Scaling?** – YouTube](https://youtu.be/p1YQU5sEz4g) 2. 📄 [**Vertical vs. Horizontal Scaling: Which one to choose**](https://middleware.io/blog/vertical-vs-horizontal-scaling/) Contents ⬆️ Additional and similar resources Backend Developer Roadmap: Learn to become a modern backend developer Hussein Nasser – YouTube channel about network engineering A curated and opinionated list of resources for Backend developers Most important skills for Backend Developer System Design Course Awesome Sysadmin: A curated list of open source sysadmin resources Awesome Network Automation Computer Science courses with video lectures How To Secure A Linux Server Mindmaps for cyber security Awesome CTO – resources for Chief Technology Officers and VP R&D Domain-Driven Design, software architecture, design patterns, best practices Best practices, tools and guidelines for backend development Resources related to distributed systems, system design, microservices, scalability and performance System Design 101: Explain complex systems using visuals and simple terms Made with 💙 LICENSE 2022-Present</div

📃 White paper for Backend developers

backend,cheat-sheets,cheatsheet,development,helpful,knowledge-sharing,roadmap,awesome,awesome-list,backend-development

rwv/lookscanned.io

📚 Look Scanned https://lookscanned.io Look Scanned is a pure frontend site that makes your PDFs look scanned! No need for printers and scanners anymore - everything you need to do is just a few clicks. Inspired by baicunko/scanyourpdf . ✨ Features Everything is processed in your browser. No privacy risk. Works without network connection using PWA. See scanned PDF side-by-side in real time. Works on all modern browsers and devices. All files are static. No backend servers needed. Tweak the settings to make your PDF look better. 📸 Screenshots | Origin | Processed | |---|---| | | | 🧑‍💻 Develop sh $ npm run dev # Run Dev Server $ npm run build # Build to dist/ ♥ Credits baicunko/scanyourpdf: Repository for the Scan Your Pdf community cancerberoSgx/magica: ImageMagick for browser and Node.js, easy setup, high level API and Command Line Interface mozilla/pdf.js: PDF Reader in JavaScript Scanner icons created by Freepik - Flaticon 📝 License MIT License

📚 LookScanned.io - Make your PDFs look scanned

pdf,scanner,website,imagemagick

safak/youtube2022

youtube2022 Season 2 on Lama Dev

Season 2 on Lama Dev

[]

emmett-framework/granian

Granian A Rust HTTP server for Python applications. Rationale The main reasons behind Granian design are: Have a single, correct HTTP implementation, supporting versions 1, 2 (and eventually 3) Provide a single package for several platforms Avoid the usual Gunicorn + uvicorn + http-tools dependency composition on unix systems Provide stable performance when compared to existing alternatives Features Supports ASGI/3, RSGI and WSGI interface applications Implements HTTP/1 and HTTP/2 protocols Supports HTTPS Supports Websockets Quickstart You can install Granian using pip: $ pip install granian Create an ASGI application in your main.py : ```python async def app(scope, receive, send): assert scope['type'] == 'http' await send({ 'type': 'http.response.start', 'status': 200, 'headers': [ [b'content-type', b'text/plain'], ], }) await send({ 'type': 'http.response.body', 'body': b'Hello, world!', }) ``` and serve it: $ granian --interface asgi main:app You can also create an app using the RSGI specification: ```python async def app(scope, proto): assert scope.proto == 'http' proto.response_str( status=200, headers=[ ('content-type', 'text/plain') ], body="Hello, world!" ) ``` and serve it using: $ granian --interface rsgi main:app Options You can check all the options provided by Granian with the --help command: ```shell $ granian --help Usage: granian [OPTIONS] APP APP Application target to serve. [required] Options: --host TEXT Host address to bind to [env var: GRANIAN_HOST; default: (127.0.0.1)] --port INTEGER Port to bind to. [env var: GRANIAN_PORT; default: 8000] --interface [asgi|asginl|rsgi|wsgi] Application interface type [env var: GRANIAN_INTERFACE; default: (rsgi)] --http [auto|1|2] HTTP version [env var: GRANIAN_HTTP; default: (auto)] --ws / --no-ws Enable websockets handling [env var: GRANIAN_WEBSOCKETS; default: (enabled)] --workers INTEGER RANGE Number of worker processes [env var: GRANIAN_WORKERS; default: 1; x>=1] --threads INTEGER RANGE Number of threads (per worker) [env var: GRANIAN_THREADS; default: 1; x>=1] --blocking-threads INTEGER RANGE Number of blocking threads (per worker) [env var: GRANIAN_BLOCKING_THREADS; x>=1] --threading-mode [runtime|workers] Threading mode to use [env var: GRANIAN_THREADING_MODE; default: (workers)] --loop [auto|asyncio|uvloop] Event loop implementation [env var: GRANIAN_LOOP; default: (auto)] --opt / --no-opt Enable loop optimizations [env var: GRANIAN_LOOP_OPT; default: (disabled)] --backlog INTEGER RANGE Maximum number of connections to hold in backlog (globally) [env var: GRANIAN_BACKLOG; default: 1024; x>=128] --backpressure INTEGER RANGE Maximum number of requests to process concurrently (per worker) [env var: GRANIAN_BACKPRESSURE; default: (backlog/workers); x>=1] --http1-buffer-size INTEGER RANGE Set the maximum buffer size for HTTP/1 connections [env var: GRANIAN_HTTP1_BUFFER_SIZE; default: 417792; x>=8192] --http1-keep-alive / --no-http1-keep-alive Enables or disables HTTP/1 keep-alive [env var: GRANIAN_HTTP1_KEEP_ALIVE; default: (enabled)] --http1-pipeline-flush / --no-http1-pipeline-flush Aggregates HTTP/1 flushes to better support pipelined responses (experimental) [env var: GRANIAN_HTTP1_PIPELINE_FLUSH; default: (disabled)] --http2-adaptive-window / --no-http2-adaptive-window Sets whether to use an adaptive flow control for HTTP2 [env var: GRANIAN_HTTP2_ADAPTIVE_WINDOW; default: (disabled)] --http2-initial-connection-window-size INTEGER Sets the max connection-level flow control for HTTP2 [env var: GRANIAN_HTTP2_INITIAL_C ONNECTION_WINDOW_SIZE; default: 1048576] --http2-initial-stream-window-size INTEGER Sets the SETTINGS_INITIAL_WINDOW_SIZE option for HTTP2 stream-level flow control [env var: GRANIAN_HTTP2_INITIAL_STREAM_WINDOW_SIZE; default: 1048576] --http2-keep-alive-interval INTEGER Sets an interval for HTTP2 Ping frames should be sent to keep a connection alive [env var: GRANIAN_HTTP2_KEEP_ALIVE_INTERVAL] --http2-keep-alive-timeout INTEGER Sets a timeout for receiving an acknowledgement of the HTTP2 keep-alive ping [env var: GRANIAN_HTTP2_KEEP_ALIVE_TIMEOUT; default: 20] --http2-max-concurrent-streams INTEGER Sets the SETTINGS_MAX_CONCURRENT_STREAMS option for HTTP2 connections [env var: GRANIAN_HTTP2_MAX_CONCURRENT_STREAMS; default: 200] --http2-max-frame-size INTEGER Sets the maximum frame size to use for HTTP2 [env var: GRANIAN_HTTP2_MAX_FRAME_SIZE; default: 16384] --http2-max-headers-size INTEGER Sets the max size of received header frames [env var: GRANIAN_HTTP2_MAX_HEADERS_SIZE; default: 16777216] --http2-max-send-buffer-size INTEGER Set the maximum write buffer size for each HTTP/2 stream [env var: GRANIAN_HTTP2_MAX_SEND_BUFFER_SIZE; default: 409600] --log / --no-log Enable logging [env var: GRANIAN_LOG_ENABLED; default: (enabled)] --log-level [critical|error|warning|warn|info|debug] Log level [env var: GRANIAN_LOG_LEVEL; default: (info)] --log-config FILE Logging configuration file (json) [env var: GRANIAN_LOG_CONFIG] --access-log / --no-access-log Enable access log [env var: GRANIAN_LOG_ACCESS_ENABLED; default: (disabled)] --access-log-fmt TEXT Access log format [env var: GRANIAN_LOG_ACCESS_FMT] --ssl-keyfile FILE SSL key file [env var: GRANIAN_SSL_KEYFILE] --ssl-certificate FILE SSL certificate file [env var: GRANIAN_SSL_CERTIFICATE] --url-path-prefix TEXT URL path prefix the app is mounted on [env var: GRANIAN_URL_PATH_PREFIX] --respawn-failed-workers / --no-respawn-failed-workers Enable workers respawn on unexpected exit [env var: GRANIAN_RESPAWN_FAILED_WORKERS; default: (disabled)] --respawn-interval FLOAT The number of seconds to sleep between workers respawn [env var: GRANIAN_RESPAWN_INTERVAL; default: 3.5] --reload / --no-reload Enable auto reload on application's files changes (requires granian[reload] extra) [env var: GRANIAN_RELOAD; default: (disabled)] --process-name TEXT Set a custom name for processes (requires granian[pname] extra) [env var: GRANIAN_PROCESS_NAME] --version Show the version and exit. --help Show this message and exit. ``` Access log format The access log format can be configured by specifying the atoms (see below) to include in a specific format. By default Granian will use [%(time)s] %(addr)s - "%(method)s %(path)s %(protocol)s" %(status)d %(dt_ms).3f as the format. Access log atoms The following atoms are available for use: | identifier | description | | --- | --- | | addr | Client remote address | | time | Datetime of the request | | dt_ms | Request duration in ms | | status | HTTP response status | | path | Request path (without query string) | | query_string | Request query string | | method | Request HTTP method | | scheme | Request scheme | | protocol | HTTP protocol version | Processes and threads Granian offers different options to configure the number of processes and threads to be run, in particular: workers : the total number of processes holding a dedicated Python interpreter that will run the application threads : the number of Rust threads per worker that will perform network I/O blocking threads : the number of Rust threads per worker involved in blocking operations. The main role of these threads is to deal with blocking I/O – like opening files – but on synchronous protocols like WSGI these threads will also be responsible of interacting with the application code. In general, Granian will try its best to automatically pick proper values for the threading configuration, leaving to you the responsibility to choose the number of workers you need. There is no golden rule here, as these numbers will vastly depend both on your application behavior and the deployment target, but we can list some suggestions: - matching the amount of CPU cores for the workers is generally the best starting point; on containerized environments like docker or k8s is best to have 1 worker per container though and scale your containers using the relevant orchestrator; - the default number of threads is fine for the vast majority of applications out there; you might want to increase this number for applications dealing with several concurrently opened websockets; - the default number of blocking threads should work properly with the majority of applications; in synchronous protocols like WSGI this will also impact the number of concurrent requests you can handle, but you should use the backpressure configuration parameter to control it and set a lower number of blocking threads only if your application has a very low (1ms order) average response time; Also, you should generally avoid to configure workers and threads based on numbers of other servers, as Granian architecture is quite different from projects like Gunicorn or Uvicorn. Threading mode Granian offers two different threading paradigms, due to the fact the inner Rust runtime can be multi-threaded – in opposition to what happens in Python event-loop which can only run as a single thread. Given you specify N threads with the relevant option, in workers threading mode Granian will spawn N single-threaded Rust runtimes, while in runtime threading mode Granian will spawn a single multi-threaded runtime with N threads. Benchmarks suggests workers mode to be more efficient with a small amount of processes, while runtime mode seems to scale more efficiently where you have a large number of CPUs. Real performance will though depend on specific application code, and thus your mileage might vary . Event loop optimizations With the --opt option Granian will use custom task handlers for Python coroutines and awaitables to improve Python code execution. Due to the nature of such handlers some libraries and specific application code relying on asyncio internals might not work. You might test the effect such optimizations cause over your application and decide whether to enable 'em or leave 'em disabled (as per default). Project status Granian is currently under active development. Granian is compatible with Python 3.8 and above versions. License Granian is released under the BSD License.

A Rust HTTP server for Python applications

asgi,asyncio,http,http-server,python,rust,rsgi,wsgi

szabodanika/microbin

MicroBin MicroBin is a super tiny, feature rich, configurable, self-contained and self-hosted paste bin web application. It is very easy to set up and use, and will only require a few megabytes of memory and disk storage. It takes only a couple minutes to set it up, why not give it a try now? Check out the Public Test Server at pub.microbin.eu ! Or host MicroBin yourself Run our quick docker setup script ( DockerHub ): bash bash <(curl -s https://microbin.eu/docker.sh) Or install it manually from Cargo : bash cargo install microbin; curl -L -O https://raw.githubusercontent.com/szabodanika/microbin/master/.env; source .env; microbin On our website microbin.eu you will find the following: Screenshots Guide and Documentation Donations and Sponsorships Roadmap Features Entirely self-contained executable, MicroBin is a single file! Server-side and client-side encryption File uploads (eg. server.com/file/pig-dog-cat ) Raw text serving (eg. server.com/raw/pig-dog-cat ) QR code support URL shortening and redirection Animal names instead of random numbers for upload identifiers (64 animals) SQLite and JSON database support Private and public, editable and uneditable, automatically and never expiring uploads Automatic dark mode and custom styling support with very little CSS and only vanilla JS (see water.css ) And much more! What is an upload? In MicroBin, an upload can be: A text that you want to paste from one machine to another, eg. some code, A file that you want to share, eg. a video that is too large for Discord, a zip with a code project in it or an image, A URL redirection. When is MicroBin useful? You can use MicroBin: To send long texts to other people, To send large files to other people, To share secrets or sensitive documents securely, As a URL shortener/redirect service, To serve content on the web, eg. configuration files for testing, images, or any other file content using the Raw functionality, To move files between your desktop and a server you access from the console, As a "postbox" service where people can upload their files or texts, but they cannot see or remove what others sent you, Or even to take quick notes. ...and many other things, why not get creative? MicroBin and MicroBin.eu are available under the BSD 3-Clause License . © Dániel Szabó 2022-2023

A secure, configurable file-sharing and URL shortening web app written in Rust.

actix,askama,bin,opensource,paste,pastebin,rust,web,microbin

OFA-Sys/OFA

ModelScope ｜ Checkpoints ｜ Colab ｜ Demo ｜ Paper ｜ &nbspBlog [colab]: OFA is a unified sequence-to-sequence pretrained model (support **English** and **Chinese**) that unifies modalities (i.e., cross-modality, vision, language) and tasks (**finetuning** and **prompt tuning** are supported): image captioning (1st at the [MSCOCO Leaderboard](https://competitions.codalab.org/competitions/3221#results)), VQA ([link](https://eval.ai/web/challenges/challenge-page/830/leaderboard/2278)), visual grounding, text-to-image generation, text classification, text generation, image classification, etc. We provide **step-by-step** instructions for pretraining and finetuning and corresponding checkpoints (check official ckpt \[[EN](checkpoints.md)|[CN](checkpoints_cn.md)\] or [Hugging Face ckpt](https://huggingface.co/OFA-Sys)). We sincerely welcome contributions to our project. Feel free to contact us or send us issues / PRs! # Online Demos We provide online demo via Hugging Face Spaces for you to interact with our pretrained and finetuned models. Below are the links to the demos: * Image Captioning \[[ModelScope](https://modelscope.cn/#/models/damo/ofa_image-caption_coco_large_en/summary) | [Spaces](https://huggingface.co/spaces/OFA-Sys/OFA-Image_Caption)\] * Visual Grounding \[[ModelScope](https://modelscope.cn/#/models/damo/ofa_visual-grounding_refcoco_large_en/summary) | [Spaces](https://huggingface.co/spaces/OFA-Sys/OFA-Visual_Grounding)\] * Visual Question Answering \[[ModelScope](https://modelscope.cn/#/models/damo/ofa_visual-question-answering_pretrain_large_en/summary) | [Spaces](https://huggingface.co/spaces/OFA-Sys/OFA-Visual_Question_Answering)\] * Text-to-Image Generation \[[ModelScope](https://modelscope.cn/#/models/damo/ofa_text-to-image-synthesis_coco_large_en/summary) | [Spaces](https://huggingface.co/spaces/OFA-Sys/OFA-Text2Image_Generation)\] * Generic Interface \[[Spaces](https://huggingface.co/spaces/OFA-Sys/OFA-Generic_Interface)\] * Chinese OCR \[[ModelScope](https://modelscope.cn/studios/damo/ofa_ocr_pipeline/summary) | [Spaces](https://huggingface.co/spaces/OFA-Sys/OFA-OCR)\] Also we provide Colab notebooks for you to better perceive the procedures. Click [here](colab.md) to check them out! # Use in Hugging Face Transformers We support the inference of OFA in Hugging Face Transformers. Check the [README](transformers.md) and [Colab Notebook](https://colab.research.google.com/drive/1Ho81RBV8jysZ7e0FhsSCk_v938QeDuy3?usp=sharing) for more information. Codes are released in this branch https://github.com/OFA-Sys/OFA/tree/feature/add_transformers # News * 2023.5.11: Two papers ([OFA-OCR](https://arxiv.org/abs/2212.09297) and [OFA-prompt](https://arxiv.org/abs/2208.02532)) are accepted by ACL. The evaluation scripts and checkpoints of OFA-OCR are released. * 2023.1.11: Released MuE (https://arxiv.org/abs/2211.11152), which significantly accelerates OFA with little performance degradation. Many thanks to the first author, Shengkun Tang (@Tangshengku). See the branch `feature/MuE` and [PR](https://github.com/OFA-Sys/OFA/pull/336) for more information. * 2022.12.20: Released OFA-OCR, a model for Chinese text recognition based on OFA. Check our [paper](https://arxiv.org/abs/2212.09297) and [demo](https://modelscope.cn/studios/damo/ofa_ocr_pipeline/summary). * 2022.12.7: Released the MMSpeech an ASR pre-training method based on OFA. Check our paper [here](https://arxiv.org/abs/2212.00500)! Please see the [README_mmspeech.md](README_mmspeech.md) for further details. * 2022.8.16: Released the **Chinese** version of OFA. **OFA-CN** needs only switching to `bpe_dir=../../utils/BERT_CN_dict` and `bpe=bert` and using our provided Chinese checkpoints in [checkpoints_cn.md](checkpoints_cn.md). Temporarily, we only provide base-size and large-size pretrained checkpoints and finetuned checkpoints on [MUGE Caption](https://tianchi.aliyun.com/muge) and the Chinese version of RefCOCO(-/+/g) (to release soon). * 2022.8.5: Released support of **prompt tuning** for OFA. Check our paper [here](https://arxiv.org/abs/2208.02532)! Please see the [prompt_tuning.md](prompt_tuning.md) for further details. * 2022.7.7: Updated support of OFA on **Hugging Face transformers** (fixed bugs in forward, add sequence generator from Fairseq to ensure performance, etc.). Refer to the doc [transformers.md](transformers.md) and the branch `feature/add_transformers`. * 2022.6.17: Released the pretrained checkpoint of **OFA-Huge**. To use it, set `--arch=ofa_huge` in the script. * 2022.5.15: OFA was accepted by **ICML 2022** More News 2022.4.28: Add support of inference on **Hugging Face transformers**. For how to use it, please refer to the doc [transformers.md](transformers.md) and our [Hugging Face models](https://huggingface.co/OFA-Sys). 2022.4.16: Released lightweight pretrained models **OFA-Medium** (~93M params) and **OFA-Tiny** (~33M params) in [checkpoints.md](checkpoints.md). To use them, you just need to load the corresponding checkpoint and set `--arch=ofa_medium` or `--arch=ofa_tiny` in the scripts. 2022.3.23: Added [Encouraging Loss](https://arxiv.org/pdf/2110.06537.pdf) as a feature. See [README_EncouragingLoss.md](README_EncouragingLoss.md). Leveraging this feature, OFA-Large has achieved improved results in both VQA (**test-std acc: 80.67**) and Image Classification (**test acc: 85.6**) recently. 2022.3.21: Released codes for pretraining OFA. 2022.3.18: Released the finetuned OFA-Base (~180M parameters) checkpoints and running scripts for vision & language tasks, including: Caption (146.4 CIDEr), VQA (78.07 on test-std), SNLI-VE (89.3 on dev), RefCOCO (90.67 on testA), RefCOCO+ (87.15 on testA) and RefCOCOg (82.31 on test-u) . 2022.3.11: Released the finetuning & inference code/checkpoints for Gigaword . 2022.3.08: Released the pretrained checkpoint of OFA-Base in checkpoints.md . To use OFA-Base, you just need to load ofa_base.pt and change --arch=ofa_large to --arch=ofa_base in the training scripts. 2022.3.07: Released the finetuning & inference code/checkpoints for Image Classification , which achieves 85.0 accuracy on ImageNet-1K, slightly better than reported in OFA paper. 2022.3.04: Released the finetuning & inference code/checkpoints for Text-to-Image Generation . 2022.3.03: Released the finetuning & inference code/checkpoints for SNLI-VE and GLUE . 2022.2.22: Released the finetuning & inference code/checkpoints for Visual Question Answering , which can reproduce the reported VQA accuracy in OFA paper (80.02 on test-std) . Check our results on the VQA Challenge . 2022.2.15: Released finetuning & inference code/checkpoints for Referring Expression Comprehension 2022.2.10: Released the inference code & finetuned checkpoint for Image captioning , which can reproduce the results on COCO Karparthy test split (149.6 CIDEr) . OFA also achieves No.1 on the COCO image captioning online leaderboard Link (marked as M6-Team). # Model Card We list the parameters and pretrained checkpoints of OFAs below. For finetuned checkpoints, please refer to [checkpoints.md](checkpoints.md). Model Ckpt Params Backbone Hidden size Intermediate size Num. of heads Enc layers Dec layers OFA Tiny Download 33M ResNet50 256 1024 4 4 4 OFA Medium Download 93M ResNet101 512 2048 8 4 4 OFA Base Download 180M ResNet101 768 3072 12 6 6 OFA Large Download 470M ResNet152 1024 4096 16 12 12 OFA Huge Download 930M ResNet152 1280 5120 16 24 12 # Results Below we demonstrate the results of OFAs on cross-modal understanding and generation. Task Image Captioning VQA Visual Entailment Referring Expression Comprehension Dataset COCO VQA v2 SNLI-VE RefCOCO RefCOCO+ RefCOCOg Split Karpathy test (CE/CIDEr) test-dev/test-std val/test val/test-a/test-b val/test-a/test-b val-u/test-u Metric CIDEr Acc. Acc. Acc. OFA Tiny 119.0 / 128.7 70.3 / 70.4 85.3 / 85.2 80.20 / 84.07 / 75.00 68.22 / 75.13 / 57.66 72.02 / 69.74 OFA Medium 130.4 / 140.3 75.4 / 75.5 86.6 / 87.0 85.34 / 87.68 / 77.92 76.09 / 83.04 / 66.25 78.76 / 78.58 OFA Base 138.2 / 146.7 78.0 / 78.1 89.3 / 89.2 88.48 / 90.67 / 83.30 81.39 / 87.15 / 74.29 82.29 / 82.31 OFA Large 142.2 / 150.7 80.4 / 80.7 90.3 / 90.2 90.05 / 92.93 / 85.26 85.80 / 89.87 / 79.22 85.89 / 86.55 OFA Huge 145.3 / 154.9 82.0 / 82.0 91.0 / 91.2 92.04 / 94.03 / 88.44 87.86 / 91.70 / 80.71 88.07 / 88.78 # Requirements * python 3.7.4 * pytorch 1.8.1 * torchvision 0.9.1 * JAVA 1.8 (for COCO evaluation) # Installation ```bash git clone https://github.com/OFA-Sys/OFA pip install -r requirements.txt ``` # Datasets and Checkpoints See [datasets.md](datasets.md) and [checkpoints.md](checkpoints.md). # Training & Inference Below we provide methods for training and inference on different tasks. We provide both pretrained OFA-Large and OFA-Base in [checkpoints.md](checkpoints.md). The scripts mentioned in this section are prepared for OFA-Large. For reproducing the downstreaming results of OFA-Base, we have also provided the corresponding finetuning and inference scripts for OFA-Base in the `run_scripts/` folder. We recommend that your workspace directory should be organized like this: ``` OFA/ ├── checkpoints/ │   ├── ofa_base.pt │   ├── ofa_large.pt │   ├── caption_large_best_clean.pt │   └── ... ├── criterions/ ├── data/ ├── dataset/ │   ├── caption_data/ │   ├── gigaword_data/ │   └── ... ├── fairseq/ ├── models/ ├── run_scripts/ ├── tasks/ ├── train.py ├── trainer.py └── utils/ ``` ## Image Processing To ensure the efficiency of processing data, we did not store images with small files, but instead we encode them to base64 strings. Transforming image files to base64 strings is simple. Run the following code: ```python from PIL import Image from io import BytesIO import base64 img = Image.open(file_name) # path to file img_buffer = BytesIO() img.save(img_buffer, format=img.format) byte_data = img_buffer.getvalue() base64_str = base64.b64encode(byte_data) # bytes base64_str = base64_str.decode("utf-8") # str ``` ## Pretraining Below we provide methods for pretraining OFA. 1. Prepare the Dataset To pretrain OFA, you should first download the dataset we provide ( pretrain_data_examples.zip , a small subset of the original pretraining data). For your customed pretraining datasets, please prepare your training samples into the same format. pretrain_data_examples.zip contains 4 TSV files: vision_language_examples.tsv , text_examples.tsv , image_examples.tsv and detection_examples.tsv . Details of these files are as follows: vision_language_examples.tsv : Each line contains uniq-id, image (base64 string), caption, question, answer, ground-truth objects (objects appearing in the caption or question), dataset name (source of the data) and task type (caption, qa or visual gronunding). Prepared for the pretraining tasks of visual grounding, grounded captioning, image-text matching, image captioning and visual question answering. text_examples.tsv : Each line contains uniq-id and text. Prepared for the pretraining task of text infilling. image_examples.tsv : Each line contains uniq-id, image (base64 string, should be resized to 256*256 resolution) and image-code (generate the sparse codes for the central part of image through VQ-GAN). Prepared for the pretraining task of image infilling. detection_examples.tsv : Each line contains uniq-id, image (base64 string) and bounding box annotations (contains the top-left and bottom-right coordinates of the bounding box, object_id and object_name, seperated by commas). Prepared for the pretraining task of detection. In addition, the folder negative_sample in pretrain_data_examples.zip contains three files all_captions.txt , object.txt and type2ans.json . The data in these files are used as negative samples for the image-text matching (ITM) task. 2. Pretraining By default, the pretraining script will attempt to restore the released pretrained checkpoints of OFA-Base or OFA-Large and perform continuous pretraining. Continuous pretraining is more recommended, which achieves much better results compared with pretraining from scratch. For continuous pretraining, please download the pretrained weights in advance (see checkpoints.md ) and put them in the correct directory OFA/checkpoints/ . If not, the pretraining will begin from scratch. cd run_scripts/pretraining bash pretrain_ofa_large.sh # Pretrain OFA-Large. For OFA-Base, use pretrain_ofa_base.sh If the pretrained OFA checkpoint is restored successfully, you will see the following information in the log: INFO: Loaded checkpoint ../../checkpoints/ofa_large.pt ## Image Captioning We provide procedures to reproduce our results of image captioning on our paper below. 1. Prepare the Dataset & Checkpoints Download data (see datasets.md ) and models (see checkpoints.md ) and put them in the correct directory. The dataset zipfile caption_data.zip contains caption_stage1_train.tsv, caption_stage2_train.tsv, caption_val.tsv and caption_test.tsv. Each image corresponds to only 1 caption in caption_stage1_train.tsv and corresponds to multiple captions in other TSV files (about 5 captions per image). Each line of the dataset represents a caption sample with the following format. The information of uniq-id, image-id, caption, predicted object labels (taken from VinVL , not used), image base64 string are separated by tabs. 162365 12455 the sun sets over the trees beyond some docks. sky&&water&&dock&&pole /9j/4AAQSkZJ....UCP/2Q== 2. Finetuning Following previous standard practice, we divide the finetuning process of image captioning into two stages. In stage 1, we finetune OFA with cross-entropy loss on 4 NVIDIA-V100 GPUs with 32GB memory (expected to obtain ~139.5 CIDEr on the validation set at this stage). In stage 2, we select the best checkpoint of stage 1 and train with CIDEr optimization on 8 NVIDIA-V100 GPUs. Note that CIDEr optimization is very unstable and requires careful hyperparameter tuning. If you encounter training errors in the stage2 finetuning, you can increase the batch size or reduce the learning rate. If neither of these works, you can directly set --freeze-resnet to freeze the inner states of batch normalization. cd run_scripts/caption nohup sh train_caption_stage1.sh > train_stage1.out & # stage 1, train with cross-entropy loss nohup sh train_caption_stage2.sh > train_stage2.out & # stage 2, load the best ckpt of stage1 and train with CIDEr optimization 3. Inference Run the following commands to get your results and evaluate your model. cd run_scripts/caption ; sh evaluate_caption.sh # inference & evaluate ## Text-to-Image Generation This part provides procedures for the finetuning and inference of text-to-image generation. See below. 1. Prepare the Dataset & Checkpoints Download data (see datasets.md ) and models (see checkpoints.md ) and put them in the correct directory. The dataset zipfile coco_image_gen.zip contains coco_vqgan_train.tsv , coco_vqgan_dev.tsv and coco_vqgan_full_test.tsv . Each line of the dataset represents a sample with the following format. The information of uniq-id, image-code (produced by vqgan , a list of integers separated by single-whitespaces), lowercased caption are separated by tabs. 1 6674 4336 4532 5334 3251 5461 3615 2469 ...4965 4190 1846 the people are posing for a group photo. The checkpoint zipfile image_gen_large_best.zip contains image_gen_large_best.pt , vqgan/last.ckpt , vqgan/model.yaml and clip/Vit-B-16.pt . 2. Shuffle the Training Data (Optional, but achieves better result): If the disk storage is sufficient, we recommend to prepare the shuffled training data for each epoch in advance. cd dataset/image_gen ln coco_vqgan_train.tsv coco_vqgan_train_1.tsv for idx in `seq 1 9`;do shuf coco_vqgan_train_${idx}.tsv > coco_vqgan_train_$[${idx}+1].tsv;done # each file is used for an epoch 3. Finetuning Following previous practice, we divide the finetuning process of image generating into two stages. In stage 1, we finetune OFA with cross-entropy loss on 4 8-V100-32G-GPU servers (expected to obtain ~32.5+ CLIP Score on the validation set at this stage). In stage 2, we select the last checkpoint of stage 1 and train with CLIP Score optimization on 4 8-V100-32G-GPU servers (expected to obtain ~34.0+ CLIP Score on the validation set at this stage). During the validation, the generated image will be dumped into _GEN_IMAGE_PATH_ . # run on each worker after the distributed and data configs have been correctly set following the guide in train_image_gen_stage1_distributed.sh cd run_scripts/image_gen nohup sh train_image_gen_stage1_distributed.sh # stage 1, train with cross-entropy loss nohup sh train_image_gen_stage2_distributed.sh # stage 2, load the last ckpt of stage1 and train with CLIP Score optimization 4. Inference Run the command below to generate your images. cd run_scripts/image_gen ; sh evaluate_image_gen.sh # inference & evaluate (FID, IS and CLIP Score) ## Visual Question Answering Here we provide the finetuning and inference codes to reproduce the VQAv2 result reported in our paper (**test-std 80.02**). We believe much improvement on accuracy can still be achieved based on this codebase :) 1. Prepare the Dataset & Checkpoints Download data (see datasets.md ) and models (see checkpoints.md ) and put them in the correct directory. The dataset zipfile vqa_data.zip is around 100G and the decompressed data costs around 135G disk storage, which contains the training, validation and testing samples together with other necessary data resources. (Since vqa_data.zip is large in size, we have also provided chunked parts of the dataset files for more convenient and stable downloading. Please refer to issue #68 .) Following common practice, VG-QA samples are also included in the training data. To adapt to the seq2seq paradigm of OFA, we transform original VQA training questions with multiple golden answers into multiple training samples. For the original VQA validation set, we keep around 10k samples for our validation and utilize the other samples for training. Each line of the dataset represents a VQA sample with the following format. The information of question-id, image-id, question, answer (with confidence), predicted object labels (taken from VinVL , slightly brings around +0.1 accuracy improvement), image base64 string are separated by tabs. 79459 79459 is this person wearing shorts? 0.6|!+no house&&short&&...&&sky /9j/4AAQS...tigZ/9k= For fine-tuning on customed VQA-formulated tasks, please refer to issue #76 , #105 and #73 for more information. 2. Shuffle the Training Data (Optional, but achieves better finetuning accuracy): If the disk storage is sufficient, we recommend to prepare the shuffled training data for each epoch in advance. In our experiments, we use shuffling which brings around +0.3 improvement on VQA accuracy. cd dataset/vqa_data ln vqa_train.tsv vqa_train_1.tsv for idx in `seq 1 9`;do shuf vqa_train_${idx}.tsv > vqa_train_$[${idx}+1].tsv;done # each file is used for an epoch 3. Finetuning In our experiments, the VQA finetuning is performed on 4 8-A100-GPU servers ( with RDMA ). Here provides the finetuning script train_vqa_distributed.sh , which supports multi-server distributed training (as well as single-server training). Please refer to the comments in the beginning of the script and set the configs correctly according to your distribution environment. If you have shuffled the training data in the previous step, please correctly specify the training data path following the guide in the script comments. The command should be run on each worker. # run on each worker after the distributed and data configs have been correctly set following the guide in train_vqa_distributed.sh cd run_scripts/vqa bash train_vqa_distributed.sh In our experiments, the finetuning costs around 36 hours (for 12 epochs). After each epoch, an evaluation on validation set is performed. The best validation accuracy during finetuning will be around 80.8. The log is saved in ${log_dir} . (Update on validation time-cost) As will be mentioned in the 4. Inference section, we prepare 2 types of inference: beam-search and all-candidate inference. By default, all-candidate inference is used for validation during fine-tuning, which achieves better accuracy but costs much time. Now we have added a new option in the training scripts called --val-inference-type to switch the validation inference type during fine-tuning. If you feel the validation takes too long, you can refer to PR #79 to activate beam-search validation, which significantly takes much less time, with around 0.5-0.6 validation score degradation compared with all-candidate validation. 4. Inference We provide 2 types of inference, beam-search (much faster but gets sub-optimal accuracy) and all-candidate evaluation (slower but best accuracy). For beam-search inference, use the script evaluate_vqa_beam.sh . Refer to the command below. The inference on test set costs around 16 GPU hours. After inference on test set, the result JSON file will be dumped in the ${result_path} defined in the shell script. You can submit the result test_predict.json to EvalAI . Using our released finetuned checkpoint, beam-search inference will get 80.15 validation accuracy, 79.36 test-dev accuracy and 79.48 test-std accuracy (around 0.6 lower than all-candidate evaluation). cd run_scripts/vqa bash evaluate_vqa_beam.sh val # specify 'val' or 'test' For all-candidate evaluation, we recommend to use the distributed script evaluate_vqa_allcand_distributed.sh . Please refer to the guide in the script to set the distributed configs before running. The result JSON file will be dumped in the ${result_path} defined in the shell script of rank-0 server. All-candidate evaluation computes scores on all the candidate answers in the VQA dataset, which achieves 80.82 validation accuracy, 79.87 test-dev accuracy and 80.02 test-std accuracy, reproducing our reported results in the paper. However, the inference on test set costs around 1k GPU hours, which is much slower. # run on each worker after the distributed configs have been correctly set following the guide in evaluate_vqa_allcand_distributed.sh cd run_scripts/vqa bash evaluate_vqa_allcand_distributed.sh val # specify 'val' or 'test' ## Visual Grounding (Referring Expression Comprehension) Here provides procedures for you to prepare data, train, and evaluate your model on visual grounding. 1. Prepare the Dataset & Checkpoints Download data (see datasets.md ) and models (see checkpoints.md ) and put them in the correct directory. We provide RefCOCO (split by UNC), RefCOCO+ (split by UNC) and RefCOCOg (split by UMD) datasets. See RefCOCO and Refer for more details. Note that in the original dataset, each region-coord (or bounding box) may corresponds to multiple descriptive texts. We split these texts into multiple samples so that the region-coord in each sample corresponds to only one text. Each line of the processed dataset represents a sample with the following format. The information of uniq-id, image-id, text, region-coord (separated by commas), image base64 string are separated by tabs. 79_1 237367 A woman in a white blouse holding a glass of wine. 230.79,121.75,423.66,463.06 9j/4AAQ...1pAz/9k= 2. Finetuning Unlike the original paper, we finetune OFA with a drop-path rate of 0.2, and found that training with this hyper-parameter achieves better results. We will update the reported results of the paper later. cd run_scripts/refcoco nohup sh train_refcoco.sh > train_refcoco.out & # finetune for refcoco nohup sh train_refcocoplus.sh > train_refcocoplus.out & # finetune for refcoco+ nohup sh train_refcocog.sh > train_refcocog.out & # finetune for refcocog 3. Inference Run the following commands for the evaluation. cd run_scripts/refcoco ; sh evaluate_refcoco.sh # inference & evaluate for refcoco/refcoco+/refcocog ## Visual Entailment We provide steps for you to reproduce our results in visual entailment. See the details below. 1. Prepare the Dataset & Checkpoints Download data (see datasets.md ) and models (see checkpoints.md ) and put them in the correct directory. Each line of the processed dataset represents a sample with the following format. The information of uniq-id, image-id, image base64 string, hypothesis, caption (or text premise), label are separated by tabs. 252244149.jpg#1r1n 252244149 /9j/4AAQ...MD/2Q== a man in pink and gold is chewing on a wooden toothpick. a man in pink is chewing a toothpick on the subway. neutral 2. Finetuning In our experiments, the SNLI-VE finetuning is performed on 8 NVIDIA-V100 GPUs with 32GB memory. In this task, we experimented with only a few sets of hyperparameters. We believe that proper hyperparameter tuning can lead to further accuracy improvement. cd run_scripts/snli_ve nohup sh train_snli_ve.sh > train_snli_ve.out & # finetune for snli_ve 3. Inference Run the following command to obtain the results. cd run_scripts/snli_ve ; sh evaluate_snli_ve.sh dev # specify 'dev' or 'test' ## GLUE Here we provide steps for you to finetune and evaluate our model on language understanding tasks. We demonstrate our practice for the GLUE benchmark. 1. Prepare the Dataset & Checkpoints Download data (see datasets.md ) and models (see checkpoints.md ) and put them in the correct directory. we provide 7 language understanding datasets from GLUE benchmark, including COLA, MNLI, MRPC, QNLI, QQP, RTE and SST2. More details about these datasets can be found in this link . 2. Finetuning For each task, we have tried multiple sets of hyperparameters (including learning rate, batch size, training epochs). The results under different sets of hyperparameters can be found in ${log_dir} . cd run_scripts/glue nohup sh train_cola.sh > train_cola.out & # finetune for cola nohup sh train_mnli.sh > train_mnli.out & # finetune for mnli nohup sh train_mrpc.sh > train_mrpc.out & # finetune for mrpc nohup sh train_qnli.sh > train_qnli.out & # finetune for qnli nohup sh train_qqp.sh > train_qqp.out & # finetune for qqp nohup sh train_rte.sh > train_rte.out & # finetune for rte nohup sh train_sst2.sh > train_sst2.out & # finetune for sst2 ## Image Classification on ImageNet-1K We provide the finetuning and inference codes which reproduce **85.0 ImageNet-1K accuracy**, slightly better than reported in our paper. 1. Prepare the Dataset & Checkpoints Download data (see datasets.md ) and models (see checkpoints.md ) and put them in the correct directory. Our provided data is derived from the original ImageNet-1K (ILSVRC2012 train & validation) dataset and shares the same data split with it. To formulate the classification task into seq2seq paradigm, we use the synset words provided by Caffe as the generation target for each image class. Each line of the processed dataset represents a sample with the following format. The information of image base64 string, classification label (1-indexed, conform to the order in synset_words.txt ), synset words of the label are separated by tabs. _9j_4AAQS...fzX__Z 769 rugby ball 2. Shuffle the Training Data (Optional, but achieves better finetuning accuracy): If the disk storage is sufficient, we recommend to prepare the shuffled training data for each epoch in advance. In our experiments, we use shuffling which brings around +0.2 improvement on ImageNet-1K accuracy. cd dataset/imagenet_1k_data ln imagenet_1k_train.tsv imagenet_1k_train_1.tsv for idx in `seq 1 9`;do shuf imagenet_1k_train_${idx}.tsv > imagenet_1k_train_$[${idx}+1].tsv;done # each file is used for an epoch one by one 3. Finetuning In our experiments, the ImageNet-1K finetuning is performed on 2 8-A100-GPU servers ( with RDMA ). Here provides the finetuning script train_imagenet_distributed.sh , which supports multi-server distributed training (as well as single-server training). Please refer to the comments in the beginning of the script and set the configs correctly according to your distribution environment. If you have shuffled the training data in the previous step, please correctly specify the training data path following the guide in the script comments. The command should be run on each worker. For quick evaluation during finetuning, by default we sample 20% of the original validation split and report accuracy on this subset after each epoch. The accuracy on the validation subset is generally ±0.1 relative to accuracy on the whole validation split. # run on each worker after the distributed and data configs have been correctly set following the guide in train_imagenet_distributed.sh cd run_scripts/image_classify bash train_imagenet_distributed.sh In our experiments, the finetuning costs around 80 hours (for 32 epochs). The best accuracy on validation subset during finetuning will be around 85.0. The log is saved in ${log_dir} . 4. Inference To get the validation accuracy on the whole ImageNet-1K validation set, run the following command. The evaluation costs around 10 GPU hours. The accuracy will be reported in the stdout (expected to be around 85.0 ). cd run_scripts/image_classify ; sh evaluate_imagenet.sh # inference & evaluate for imagenet-1k ## Gigaword We provide steps for you to reproduce our results in Gigaword. See the details below. 1. Prepare the Dataset & Checkpoints Download data (see datasets.md ) and models (see checkpoints.md ) and put them in the correct directory. The original dataset is taken from UniLM and we organized the data into the tsv format. Each line of the processed dataset represents a sample with the following format. The information of source and target texts are separated by tabs. factory orders for manufactured goods rose #.# percent in september... us september factory orders up #.# percent 2. Finetuning Run the following command to train the model. cd run_scripts/gigaword nohup sh train_gigaword.sh > train_gigaword.out & # finetune for gigaword 3. Inference Run the following command to obtain the results (~36.43 rougeL). cd run_scripts/gigaword ; sh evaluate_gigaword.sh # inference & evaluate for gigaword # Gallery Below we provide examples of OFA in text-to-image generation and open-ended VQA. Also, we demonstrate its performance in unseen task (Grounded QA) as well as unseen domain (Visual Grounding on images from unseen domains). ## Text-to-Image Generation  ## Open-Ended VQA  ## Grounded QA (unseen task)  ## Visual Grounding (unseen domain)  # Related Codebase * [Fairseq](https://github.com/pytorch/fairseq) * [taming-transformers](https://github.com/CompVis/taming-transformers) # Getting Involved Feel free to submit Github issues or pull requests. Welcome to contribute to our project! To contact us, never hestitate to send an email to `zheluo.wp@alibaba-inc.com` or `junyang.ljy@alibaba-inc.com`! # Citation Please cite our papers if you find them helpful :) ``` @article{wang2022ofa, author = {Peng Wang and An Yang and Rui Men and Junyang Lin and Shuai Bai and Zhikang Li and Jianxin Ma and Chang Zhou and Jingren Zhou and Hongxia Yang}, title = {OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework}, journal = {CoRR}, volume = {abs/2202.03052}, year = {2022} } ``` ``` @article{ofa_ocr, author = {Junyang Lin and Xuancheng Ren and Yichang Zhang and Gao Liu and Peng Wang and An Yang and Chang Zhou}, title = {Transferring General Multimodal Pretrained Models to Text Recognition}, journal = {CoRR}, volume = {abs/2212.09297}, year = {2022} } ``` ``` @article{ofa_prompt, author = {Hao Yang and Junyang Lin and An Yang and Peng Wang and Chang Zhou and Hongxia Yang}, title = {Prompt Tuning for Generative Multimodal Pretrained Models}, journal = {CoRR}, volume = {abs/2208.02532}, year = {2022} } ``` ``` @article{mmspeech, title={MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition}, author={Zhou, Xiaohuan and Wang, Jiaming and Cui, Zeyu and Zhang, Shiliang and Yan, Zhijie and Zhou, Jingren and Zhou, Chang}, journal={arXiv preprint arXiv:2212.00500}, year={2022} } ```

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

multimodal,pretraining,image-captioning,text-to-image-synthesis,visual-question-answering,referring-expression-comprehension,vision-language,pretrained-models,prompt,prompt-tuning

gmh5225/awesome-game-security

awesome-game-security If you find that some links are not working, you can simply replace the username with gmh5225. Or you can send an issue for me. How to contribute? https://github.com/HyunCafe/contribute-practice https://docs.github.com/en/get-started/quickstart/contributing-to-projects Contents Game Engine Mathematics Renderer 3D Graphics AI Image Codec Wavefront Obj Task Scheduler Game Network PhysX SDK Game Develop Game Assets Game Hot Patch Game Testing Game Tools Game Manager Game CI Web3 Game DirectX OpenGL Vulkan Cheat Anti Cheat Some Tricks Windows Security Features Windows Subsystem for Linux Windows Subsystem for Android Windows Emulator Android Emulator IOS Emulator Game Boy Nintendo Switch Game Engine Guide - https://github.com/QianMo/Game-Programmer-Study-Notes - https://github.com/Gforcex/OpenGraphic [Graphic Engine & Game Engine lists] - https://github.com/ThisisGame/cpp-game-engine-book - https://github.com/netwarm007/GameEngineFromScratch - https://forums.unrealengine.com [Unreal] - https://docs.unrealengine.com [Unreal] - https://www.unrealengine.com/resources [Unreal] - https://github.com/donaldwuid/unreal_source_explained [Unreal] - https://github.com/mikeroyal/Unreal-Engine-Guide [Unreal] - https://github.com/Allar/ue5-style-guide [Unreal] - https://github.com/revan1611/UE-Interview-Cheat-Sheet [Unreal] - https://github.com/tomlooman/ue4-tutorials [Unreal] - https://github.com/JaredP94/Unreal-Development-Guides-and-Tips [Unreal] - https://github.com/lettier/3d-game-shaders-for-beginners [Shader] - https://github.com/PardCode/OpenGL-3D-Game-Tutorial-Series [OpenGL] - https://github.com/PardCode/CPP-3D-Game-Tutorial-Series [DirectX] - https://github.com/ssloy/tinyrenderer [Render] - https://github.com/crazyshader/GameDev [Unity] - https://github.com/RyanNielson/awesome-unity [Unity] - https://github.com/shadirvan/Unity-Cheat-Sheet [Unity] - https://github.com/QianMo/Unity-Design-Pattern [Unity Design] - https://github.com/whx-prog/The-Seed-Link-Future [Unity VR] - https://github.com/twohyjr/Metal-Game-Engine-Tutorial [Apple's Metal Api] Source - https://github.com/EpicGames/UnrealEngine - https://github.com/Unity-Technologies/UnityCsReference [C# reference] - https://github.com/cocos2d/cocos2d-x - https://github.com/cocos/cocos-engine - https://github.com/gmh5225/GameEngine-CRYENGINE - https://github.com/panda3d/panda3d - https://github.com/ValveSoftware/source-sdk-2013 - https://github.com/gmh5225/source-sdk-orangebox - https://github.com/UTINKA/source-engine.2003 - https://github.com/VSES/SourceEngine2007 - https://github.com/nillerusr/source-engine - https://github.com/gmh5225/GoldSourceRebuild [GoldSource engine rebuild] - https://github.com/adriengivry/Overload - https://github.com/gmh5225/GameEngine-MapleEngine - https://github.com/inanevin/LinaEngine - https://github.com/storm-devs/storm-engine - https://github.com/minetest/minetest - https://github.com/godotengine/godot - https://github.com/ScriptedSnark/reGS - https://github.com/nem0/LumixEngine - https://github.com/urho3d/Urho3D - https://github.com/KorokEngine/Korok [Golang] - https://github.com/BoomingTech/Pilot - https://github.com/Sirkles/JoshoEngine-Native - https://github.com/ExplosionEngine/Explosion - https://github.com/danhuynh0803/Campfire - https://github.com/lowenware/dotrix [Rust] - https://github.com/bevyengine/bevy [Rust] - https://github.com/FyroxEngine/Fyrox [Rust] - https://github.com/AmbientRun/Ambient [Rust] - https://github.com/AbyssEngine/AbyssEngine [ARPG] - https://github.com/skylicht-lab/skylicht-engine - https://github.com/ValveSoftware/halflife [Half-Life 1] - https://github.com/SamVanheer/halflife-unified-sdk [Half-Life SDK] - https://github.com/alliedmodders/hl2sdk [Half-Life SDK] - https://github.com/ezhangle/hlmaster [Half-Life Master Server] - https://github.com/MonoGame/MonoGame [.NET] - https://github.com/vchelaru/FlatRedBall [.NET 2D] - https://github.com/nCine/nCine [2D] - https://github.com/gameplay3d/gameplay [2D/3D] - https://github.com/NoelFB/blah [C++ 2D] - https://github.com/Squalr/Squally [C++ 2D] - https://github.com/u3d-community/U3D [C++ 2D/3D] - https://github.com/turbulenz/turbulenz_engine [HTML5] - https://github.com/egret-labs/egret-core [HTML5] - https://github.com/TorqueGameEngines/Torque2D [2D] - https://github.com/TorqueGameEngines/Torque3D [3D] - https://github.com/gmh5225/GameEngine-CX3D [3D] - https://github.com/solenum/exengine [C99 3D] - https://github.com/TheCherno/Hazel - https://github.com/duddel/yourgamelib - https://github.com/Serious-Engine/Base - https://github.com/benanil/Castle-Engine [DX11] - https://github.com/OpenArena/engine [quake3] - https://github.com/rbfx/rbfx [C# support and WYSIWYG editor] - https://github.com/BobbyAnguelov/Esoterica - https://github.com/ZDoom/gzdoom [Doom] - https://github.com/L-Spiro/L.-Spiro-Engine-2022 - https://github.com/MohitSethi99/ArcEngine - https://github.com/gscept/nebula - https://github.com/irisengine/iris [cross-platform C++] - https://github.com/WistfulHopes/NightSkyEngine [A fighting game engine written in Unreal Engine 5] - https://github.com/ObEngine/ObEngine [2D+Lua] - https://github.com/harukumo/HorizonEngine [3D rendering engine] - https://github.com/benjinx/Toon [C++] - https://github.com/chrismaltby/gb-studio [GameBoy] - https://github.com/orx/orx [C++] - https://github.com/volcoma/EtherealEngine [C++] - https://github.com/clibequilibrium/EquilibriumEngine [C++] - https://github.com/turanszkij/WickedEngine [C++ 3D] - https://github.com/AustinBrunkhorst/Ursine3D [C++ 3D] - https://github.com/RavEngine/RavEngine [C++ 3D] - https://github.com/asc-community/MxEngine [C++ 3D] - https://github.com/jmorton06/Lumos [C++ 2D/3D] - https://github.com/fredakilla/GPlayEngine [C++ 2D/3D] - https://github.com/crownengine/crown [C++ 2D/3D] - https://github.com/FlaxEngine/FlaxEngine [C++/C# 3D] - https://github.com/stride3d/stride [C# 3D] - https://github.com/Net5F/AmalgamEngine - https://github.com/rxi/kit [pixels] - https://github.com/isadorasophia/murder [pixel] - https://github.com/nitaigao/engine-showcase [Old engine] - https://github.com/PanosK92/SpartanEngine [Research-focused game engine designed for real-time solutions] - https://github.com/OpenXRay/xray-16 [Improved version of the X-Ray Engine] - https://github.com/love2d/love [2D game framework for Lua] Game Engine Plugins:Unreal - Plugin for UE4 to user Rider for Unreal Engine as code editor - Design-agnostic node system for scripting game’s flow in Unreal Engine - Sample Unreal Engine 5.0.1 C++ Project That Incorporates Dear ImGui - A set of tools and utilities for use with Unreal Engine projects using ImGui - A simple Unreal Engine subsystem to provide a more accurate server world time to clients - UE4 UI Texture Validator Plugin - Unreal Engine .NET 6 integration - Houdini Engine Plugin for Unreal Engine - A small tutorial repository on capturing images with semantic annotation from UnrealEngine to disk - UE4 plugin for live2d model - An Unreal Engine code plugin that adds a custom asset type and editor to the engine - Unreal Engine 4 Plugin for Lua APIs implementation - Debug Menu for UnrealEngine4 - 'Dear Imgui' remote access library and application - Customizable performance metric charts and STAT commands control panel - Unreal Engine plugin providing a set of Hermes endpoints - Unreal Engine 4 Plugin for Lua APIs implementation - Copies the argument string to the clipboard and outputs the characters copied to the clipboard - Generic graph data structure plugin for ue4 Game Engine Plugins:Unity - A markdown viewer for unity - An integrated solution for authoring / importing / simulating / rendering strand-based hair in Unity - A maintained collection of useful & free unity scripts / library's / plugins and extensions - ChatGPT integration with Unity Editor Game Engine Plugins:Lumix - https://github.com/nem0/lumixengine_maps [Map downloader] Game Engine Detector - https://github.com/walzer/game-engine-detector [Mobile Game] Mathematics https://github.com/nfrechette/rtm https://github.com/Groovounet/glm https://github.com/microsoft/DirectXMath https://github.com/Kazade/kazmath https://github.com/milakov/int_fastdiv https://github.com/freemint/fdlibm https://github.com/Jaysmito101/cgl Renderer https://github.com/bkaradzic/bgfx [Rendering library] https://github.com/DiligentGraphics/DiligentEngine [Rendering library] https://github.com/kanition/pbrtbook [Physically Based Rendering: From Theory To Implementation] https://github.com/keith2018/SoftGLRender https://github.com/DQLin/VolumetricReSTIRRelease https://github.com/HackerPoet/NonEuclidean A graphics engine designed to run on a single thread on CPU https://github.com/paroj/gltut [OpenGL Render] https://github.com/ashawkey/raytracing [RayTracer] https://github.com/sultim-t/xash-rt [Xash3D FWGS with a real-time path tracing] https://github.com/crosire/reshade [A generic post-processing injector for games and video software] https://github.com/harukumo/HorizonEngine [3D rendering engine] https://github.com/Patryk27/strolle [Real-time rendering engine] https://github.com/ssloy/tinyraytracer [A brief computer graphics / rendering course] https://github.com/freetype/freetype [Render fonts] 3D Graphics https://github.com/Mesa3D/mesa AI https://github.com/ls361664056/GameAI-paper-list [zh] Image Codec https://github.com/nothings/stb https://github.com/libjpeg-turbo/libjpeg-turbo https://github.com/erkkah/tigr https://github.com/tsoding/olive.c Wavefront Obj https://github.com/tinyobjloader/tinyobjloader https://github.com/Twinklebear/tobj [Rust] Task Scheduler https://github.com/SergeyMakeev/TaskScheduler Game Network Guide - https://github.com/MFatihMAR/Game-Networking-Resources - https://partner.steamgames.com/doc/api/ISteamNetworkingMessages#functions_sendrecv [Steam] - https://github.com/mcxiaoke/mqtt [mqtt] Source - https://github.com/cloudwu/skynet - https://github.com/ketoo/NoahGameFrame [Server Engine] - https://github.com/chronoxor/CppServer - https://github.com/Qihoo360/evpp - https://github.com/ValveSoftware/GameNetworkingSockets [Steam] - https://github.com/skywind3000/kcp [KCP] - https://github.com/Unit-X/kcp-cpp [KCP] - https://github.com/TLeonardUK/ds3os [Dark Souls 3] - https://github.com/TLeonardUK/ds2os [Dark Souls 2] - https://github.com/rathena/rathena [MMORPG] - https://github.com/TrinityCore/TrinityCore [Server for WOW] - https://github.com/uNetworking/uWebSockets [WebSockets] - https://github.com/socketio/socket.io [Nodejs] - https://github.com/mqttjs/MQTT.js [mqtt nodejs] - https://github.com/eclipse/paho.mqtt.cpp [mqtt cpp] - https://github.com/topfreegames/pitaya [Server framework] - https://github.com/azerothcore/azerothcore-wotlk [Server for WOW] - https://github.com/arlyon/azerust [Rust Server for WOW] - https://github.com/arlyon/awesome-wow-rust [Rust Server for WOW] - https://github.com/2601677867/One-Click-Run_Source_Server [Server for Source Engine] PhysX SDK https://github.com/NVIDIAGameWorks/PhysX https://github.com/NVIDIAGameWorks/PhysX-3.4 https://github.com/bulletphysics/bullet3 Game Develop Guide - https://github.com/Calinou/awesome-gamedev - https://github.com/notpresident35/learn-awesome-gamedev - https://github.com/yrgo/awesome-educational-games - https://github.com/raizam/gamedev_libraries [A collection of open source c/c++ libraries for gamedev] - https://github.com/gheja/game-design-documents [Game design documents] - https://github.com/Kavex/GameDev-Resources [Game Development resources] - https://github.com/crazyshader/GameDev [Unity] - https://github.com/RyanNielson/awesome-unity [Unity] - https://github.com/QianMo/Unity-Design-Pattern [Unity Design] - https://github.com/michal-z/zig-gamedev [Building game development ecosystem for ziglang] - https://github.com/OTFCG/Awesome-Game-Analysis [Video game tech analysis resources] - https://github.com/killop/anything_about_game [Game Development resources] - https://github.com/TastSong/GameProgrammerStudyNotes [Game Development notes] - https://github.com/P0L3NARUBA/gtav-sourcecode-build-guide [GTA V Source Code Build Tutorial] Source - https://github.com/PiMoNFeeD/csgo-src [Leaked CSGO] - https://github.com/perilouswithadollarsign/cstrike15_src [Leaked CSGO With CI] - https://github.com/gmh5225/Far-Cry-1-Source-Full [Leaked Far Cry 1] - https://github.com/gmh5225/FarCry [Leaked Far Cry 1] - https://github.com/SwagSoftware/Kisak-Strike [Open Source CSGO] - https://github.com/hampta/csso-src [CSGO Mod] - https://github.com/thomaseichhorn/cs16-client [Rewrote CS1.6] - https://github.com/s1lentq/ReGameDLL_CS [Reversed CS1.6] - https://github.com/Velaron/cs16-client [Reversed CS1.6] - https://github.com/Source2ZE/CS2Fixes [CS2 mod] - https://github.com/gmh5225/Game-GTA-re3 [Reversed GTA III, Vice City] - https://github.com/gta-reversed/gta-reversed-modern [Reimplementation of GTA:SA 1.0 US] - https://github.com/WastedHymn/Grand-Theft-Auto-Modding-Source [Code snippets for Vice City] - https://github.com/SmileyAG/ReCZDS [Reversed CZeror] - https://github.com/Harrison1/unrealcpp [UE4 C++ examples] - https://github.com/QianMo/UE4-FPS-Game [UE4 FPS Game] - https://github.com/KitchenGun/UE4_FPS [UE4 FPS Demo] - https://github.com/tomlooman/SimpleFPSTemplate [UE4 FPS Demo] - https://github.com/tomlooman/EpicSurvivalGame [UE4 FPS Game] - https://github.com/QianMo/UE4-Tank-Game [UE4 Game] - https://github.com/UE-DEMO/UE-UE5-FPS-wlaster [UE5 FPS Game] - https://github.com/gmh5225/UE5-FPS-CryptRaider [UE5 FPS Game] - https://github.com/LeroyTechnologies/ProjectM [UE5 FPS Game] - https://github.com/invi1998/MultiplayerBlasterGame [UE5 FPS Game] - https://github.com/DruidMech/MultiplayerCourseBlasterGame [UE5 FPS Game] - https://github.com/caydenbullock/UE5MultiplayerProject [UE5 horror game with anti-cheat] - https://github.com/perfect-hand/ue5-cardgame [UE5 Card Game] - https://github.com/stackOverflower92/FightingGame-UE5 [UE5 Fighting Game] - https://github.com/gmh5225/UnrealEngine5-UltimateStreetFighters [UE5 StreetFighters Game] - https://github.com/EvelynSchwab/ComponentFuseMechanic [UE5 constraining system] - https://github.com/CobraCodeDev/TP_2DSideScrollerBP [UE5 2D template] - https://github.com/gmh5225/ue5-roll-a-ball-game [UE5 Roll a Ball Game] - https://github.com/tomlooman/ActionRoguelike [UE Roguelike Game] - https://github.com/Unity-Technologies/FPSSample [Unity Game] - https://github.com/OguzKaira/FPS-Movement [Unity FPS] - https://github.com/OguzKaira/SQLite-Unity3D [Unity SQLite] - https://github.com/swordjoinmagic/MoBaDemo [Unity MoBa] - https://github.com/gmh5225/U3D_MiniDNF [Unity mini DNF] - https://github.com/gmh5225/unity-vrchat-template [Unity VRChat Template] - https://github.com/Saukiya/Arknights [Unity Arknights] - https://github.com/ZehMatt/SnakeRoyal [Mini Game With Server] - https://github.com/MKXJun/Super-Fighter [DX11 Mini Game] - https://github.com/MKXJun/Rubik-Cube [DX9/11 Mini Game] - https://github.com/Suprcode/mir2 [MIR2] - https://github.com/Suprcode/mir3-zircon [MIR3] - https://github.com/WolfireGames/overgrowth [Overgrowth] - https://github.com/solidi/hl-mods [Modification For Half-Life] - https://github.com/codingben/maple-fighters [A small online game similar to MapleStory] - https://github.com/gmh5225/WinAPI_MapleStory [WinAPI MapleStory] - https://github.com/ZeromaXHe/MapleStoryCopy [Godot MapleStory] - https://github.com/loqix/Fortnite [Fortnite] - https://github.com/bradharding/doomretro [DOOM] - https://github.com/Daivuk/PureDOOM [DOOM] - https://github.com/NSG650/NtDOOM [Doom running in the NT kernel] - https://github.com/Luxon98/Super-Mario-Bros-game [Remake of Super Mario] - https://github.com/plibither8/2048.cpp [2048] - An open source re-implementation of RollerCoaster Tycoon 2 - This is the old Paradise SPRX BO2 soruce code - https://github.com/dreamstalker/rehlds [Reverse-engineered HLDS] - https://github.com/AndroidModLoader/AndroidModLoader [Android Mod Loader] - https://github.com/marblexu/PythonPlantsVsZombies [PlantsVsZombies] - https://github.com/mhyousefi/ZombiesVsPlants [PlantsVsZombies] - https://github.com/Fewnity/Counter-Strike-DS-Unity-Project [Unity CS] - https://github.com/Fewnity/Counter-Strike-Nintendo-DS [Nintendo CS] - https://github.com/ppy/osu [osu] - https://github.com/ppy/osu-framework [osu] - https://github.com/dufernst/LegionCore-7.3.5 [wow] - https://github.com/RageProject/5.4.7-Wow-source [wow] - https://github.com/SkyFire/MopCore547 [wow] - https://github.com/Arctium/WoW-Launcher [wow launcher] - https://github.com/skMetinek/Non-Newtonian-New-York [Spider-Man Remastered Mod] - https://github.com/playgameservices/cpp-android-basic-samples [Sample games using the Google Play Games C++ SDK] - https://github.com/pafuhana1213/KawaiiPhysics [Simple fake Physics for UnrealEngine4 & 5] - https://github.com/pafuhana1213/VTuberWithUE4 [UE4 VTuber] - https://github.com/Bratah123/GojoTheSpire [Slay The Spire Remastered Mod] - https://github.com/snesrev/zelda3 [A reimplementation of Zelda 3] - https://github.com/kantam5/DeadByDaylight [Dead By Daylight Copy] - https://github.com/Phobos-developers/Phobos [Red Alert 2: Yuri's Revenge engine extension] - https://github.com/praydog/AutomataMP [NieR] - https://github.com/xinyu-evolutruster/3D-Racing-Game [A racing game based on OpenGL] - https://github.com/ProjectBorealis/PBCharacterMovement [HL2-style, classic FPS movement for UE4 implemented in C++] - https://github.com/Merisho/tx-holdem [Texas Holdem Poker made by JS] - https://github.com/raysan5/raylib [A simple and easy-to-use library to enjoy videogames programming] - https://github.com/NotYetGames/WarriOrb [a Dark-Souls like action platformer using UE4] - https://github.com/pjasicek/OpenClaw [Reimplementation of Captain Claw (1997) platformer] - https://github.com/galaxyhaxz/devilution [Reversed Devilution] - https://github.com/assaultcube/AC [FPS Game] - https://github.com/fishfolk/jumpy [Pixels style] - https://github.com/jynew/jynew [JinYongLegend] - https://github.com/johndpope/pianogame [Piano Game] - https://github.com/gmh5225/QQTang [QQTang] - https://github.com/kvnxiao/storytime [Remake of MapleStory] - https://github.com/deathkiller/jazz2-native [Remake of Jazz Jackrabbit 2] Game Assets https://github.com/Miziziziz/Retro3DGraphicsCollection https://github.com/HitmanHimself/GOWTool [God of War 2018] https://github.com/KhronosGroup/glTF [Runtime 3D Asset Delivery] https://github.com/syoyo/tinygltf [Header only C++11 tiny glTF 2.0 library] https://github.com/atenfyr/UAssetGUI [Viewing and modifying UE4 game assets] https://github.com/UETools/UETools [Accessing, reading and deserializing UE4 assets] Game Hot Patch https://github.com/Tencent/xLua https://github.com/Tencent/InjectFix https://github.com/focus-creative-games/hybridclr Game Testing https://github.com/UnityTech/GamesTestAutomationExample [The collecting ideas on how to do Test Automation in Games] https://github.com/nowsprinting/UnityAutomatedQAExamples [Unity Automated QA Guidebook] https://github.com/AirtestProject/Airtest [UI Automation Framework] https://github.com/dendibakh/perf-ninja [Performance Analysis] https://github.com/CookiePLMonster/UptimeFaker [Detecting High PC Uptime] https://github.com/GameTechDev/PresentMon [Graphics Performance] https://github.com/gatling/gatling [Server Testing] https://github.com/aristocratos/btop [Performance Monitor] https://github.com/Celtoys/Remotery [A realtime CPU/GPU profiler] https://github.com/Volkanite/Push [Monitor GPU/CPU/RAM performance] https://github.com/google/orbit [C/C++ Performance Profiler] https://github.com/wolfpld/tracy [C++ frame profiler] https://github.com/bombomby/optick [C++ Profiler For Games] https://github.com/RomanceTheHeart/Automation_Examples [Automating certain tasks in the Unreal editor] https://github.com/DaedalicEntertainment/ue4-test-automation [Facilitates setting up integration test suits with Unreal Engine 4 Gauntlet] https://github.com/DenuvoSoftwareSolutions/Onlooker [Tool to collect and visualize memory usage of a process tree] https://github.com/milostosic/rprof [CPU scope based profiling library] https://github.com/DarknessFX/DFoundryFX [UE Performance] Game Tools Play your favorite games in a borderless window; no more time consuming alt-tabs https://github.com/Genymobile/scrcpy [Display and control your Android device] https://github.com/ryanjon2040/Unreal-Binary-Builder [Build UE Source] https://github.com/ryanjon2040/UnrealNetworkProfiler [Network Profiler for UE] Command line tool for getting the download URL for the latest or specific version of Unity https://github.com/recastnavigation/recastnavigation [Navigation-mesh Toolset for Games] https://github.com/TensorWorks/UE-Clang-Format [UE Clang-Format configuration] https://github.com/inflation/goldberg_emulator [Steam emulator] Game Manager https://github.com/JosefNemec/Playnite Game CI https://github.com/game-ci https://github.com/nikaera/Unity-GameCI-Sample [Unity] Web3 Game Blockchain Guide - https://github.com/unbalancedparentheses/practical_cryptography_and_distributed_ledgers - https://github.com/slowmist/Web3-Project-Security-Practice-Requirements - https://github.com/chaozh/awesome-blockchain-cn [CN Guide] - https://en.hackndo.com/ethereum-virtual-machine [EVM] - https://github.com/mektigboy/evm-chad [EVM] - https://github.com/jtriley-eth/the-ethereum-virtual-machine [EVM] - https://github.com/w1nt3r-eth/evm-from-scratch [EVM] - https://github.com/shafu0x/evm-from-scratch-book [EVM] - https://github.com/Unboxed-Software/solana-course [A complete course for learning Solana] - https://github.com/lambdaclass/lambdaworks [Crypto] - https://github.com/coinspect/learn-evm-attacks [EVM Security] - https://github.com/Dapp-Learning-DAO/Dapp-Learning [Dapp] - https://github.com/contractcops/auditingroadmap [Solidity] - https://github.com/0xcacti/awesome-solidity-dev-tools [Solidity] - https://github.com/chinmay-farkya/solidity-notes [Solidity Notes] - https://github.com/33357/smartcontract-apps [Solidity CN] - https://github.com/nullity00/web3-resources [Web3 resources] - https://github.com/JoranHonig/awesome-web3-ai-security [web3 ai security] - https://github.com/Malinariy/Solidity-gas-optimizations-tips [Gas optimizations tips] Game - https://github.com/aakarkun/unity-web3-skyrim-market [Web3 SkyRim Market - Unity] - https://github.com/0xFableOrg/0xFable [Trading card game] SDK - https://github.com/Ankr-network/game-unreal-sdk [Mirage Unreal SDK] Tools - https://github.com/swiss-knife-xyz/swiss-knife [All your EVM tools in one place] - https://github.com/fukaoi/smart-token-tool [SPL Token/ NFT issue tool on solana] - https://github.com/cryptoloutre/solana-tools [A bunch of tools to help people in the Solana ecosystem] - https://github.com/costa-group/EthIR [A framework for high-level Analysis of Ethereum Bytecode] - https://github.com/warp-id/solana-trading-bot [Solana Trading Bot] Security - https://github.com/SunWeb3Sec [Let's make Web3 more secure] - https://github.com/ZhangZhuoSJTU/Web3Bugs [Bugs in Smart Contracts] - https://github.com/kadenzipfel/smart-contract-vulnerabilities [A collection of smart contract vulnerabilities] - https://github.com/cryptostaker2/blockchain-security-audits [Security audits] - https://github.com/obheda12/Solidity-Security-Compendium [Solidity vuln] - https://github.com/0xsanny/solsec [Solana smart contract security] - https://github.com/crytic [Blockchain Security, by @trailofbits] - https://github.com/Quillhash/Solidity-Attack-Vectors [Solidity SmartContract Attack Vectors] - https://github.com/crytic/building-secure-contracts [Guidelines and training material to write secure smart contracts] - https://github.com/crytic/etheno [Ethereum security analysis and testing] - https://github.com/crytic/echidna [Ethereum smart contract fuzzer] - https://github.com/fuzzland/ityfuzz [Ethereum smart contract fuzzer] - https://github.com/secureum/DeFi-Security-Summit-Stanford [DEFI Focus Smart Contract Security Capture the Flag] - https://github.com/go-outside-labs/blockchain-hacking [hacking] - https://github.com/Decurity/abi-decompiler [Recover ABI of EVM smart contracts] - https://github.com/pcaversaccio/reentrancy-attacks [Historical Collection of Reentrancy Attacks] - https://mythx.io [Static Analyzer] - https://github.com/crytic/slither [Static Analyzer] - https://github.com/ConsenSys/mythril [Static Analyzer] - https://github.com/Picodes/4naly3er [Static Analyzer] - https://github.com/Quillhash/QuillAudit_Auditor_Roadmap [Become a Smart Contract Auditor] - https://github.com/d-xo/weird-erc20 [Weird ERC20] - https://github.com/slowmist/solana-smart-contract-security-best-practices [Solana security] - https://github.com/JoranHonig/awesome-web3-ai-security [web3 ai security] - https://github.com/costa-group/EthIR [A framework for high-level Analysis of Ethereum Bytecode] Contract source code - https://github.com/tangtj/bsc-contract-database [BSC] DirectX Guide - https://github.com/planetchili/hw3d [C++ 3D DirectX Tutorial] - https://github.com/jpvanoosten/LearningDirectX12 [DX12] - https://github.com/PAMinerva/LearnDirectX [DX12] - https://github.com/MKXJun/DirectX11-With-Windows-SDK [DX11 zh] - https://github.com/d3dcoder/d3d12book [DX12] - https://github.com/pkurth/D3D12Renderer [DX12] Hook - https://github.com/rdbo/DX11-BaseHook [DX11 Imgui] - https://github.com/DrNseven/D3D12-Hook-ImGui [DX12 Imgui] - https://github.com/niemand-sec/DirectX11Hook [DX11 Imgui] - https://github.com/guided-hacking/GH_D3D11_Hook [DX11] - https://github.com/gogo9211/Discord-Overlay-Hook [DX11] - https://github.com/ocornut/imgui/commit/923bd2fd217c1dc1e75fa92b0284d3817904988b [DX11/12 ResizeBuffers] - https://github.com/marlkiller/d3dhook_imgui [d3d opengl hook imgui x86/x64] - Universal graphical hook for a D3D9-D3D12, OpenGL and Vulkan based games - https://github.com/jmpews/Dobby [a lightweight, multi-platform, multi-architecture hook framework] - https://github.com/Sh0ckFR/Universal-Dear-ImGui-Hook [An universal Dear ImGui Hook] - https://github.com/bruhmoment21/UniversalHookX [DX/OpenGL/Vulkan] Tools - https://github.com/visotw/3d9 [Fixing broken stereoscopic effects in DX11 games] Emulation - https://github.com/code-tom-code/Software_D3D9 [DX9] Compatibility - https://github.com/CnCNet/cnc-ddraw [Old Game] - https://github.com/microsoft/D3D9On12 [The Direct3D9-On-12 mapping layer] Overlay - https://github.com/SeanPesce/Direct3D9-Overlay OpenGL Guide - https://github.com/JoeyDeVries/LearnOpenGL Source - https://github.com/brackeen/glfm [Write OpenGL ES code in C/C++] Hook - https://github.com/bruhmoment21/UniversalHookX Vulkan Guide - https://github.com/googlesamples/android-vulkan-tutorials API - https://github.com/liblava/liblava [Modern and easy-to-use library for Vulkan] - https://github.com/corporateshark/lightweightvk Hook - https://github.com/Rebzzel/kiero [X86/64 Windows] - https://github.com/bruhmoment21/UniversalHookX [X86/64 Windows] - https://github.com/DrNseven/Vulkan-Hook [X86/64 Windows] - https://github.com/Sh0ckFR/Universal-Dear-ImGui-Hook - https://github.com/Halen84/ImGuiRDR2Hook Cheat Guide - https://github.com/dsasmblr/game-hacking - https://github.com/dsasmblr/hacking-online-games - https://github.com/kovidomi/game-reversing - https://github.com/TheZong/Game-Hacking - https://github.com/mytechnotalent/Reverse-Engineering - https://github.com/wtsxDev/reverse-engineering - https://github.com/mytechnotalent/Hacking-Windows - https://github.com/kotae4/intro-to-gamehacking - https://blog.can.ac/author/can1357 - https://github.com/SinaKarvandi/Hypervisor-From-Scratch [Hypervisor] - https://secret.club - https://back.engineering - https://vollragm.github.io - https://www.triplefault.io - https://advancedvectorextensions.github.io - https://bright.engineer - https://reversing.info - https://www.unknowncheats.me - https://forum.ragezone.com - https://guidedhacking.com - https://github.com/guided-hacking - https://gamehacking.academy - https://github.com/GameHackingAcademy - https://areweanticheatyet.com [A list of games using anti-cheats] - https://github.com/aclist/aclist.github.io [Anti-cheat compatibility list] - https://github.com/imadr/Unity-game-hacking [Unity] - https://vollragm.github.io/posts/unity-reversing [Unity] - https://wiki.cheatengine.org/index.php?title=Mono [CE Mono] - https://github.com/krampus-nuggets/ce-tutorial [CE] - https://il2cppdumper.com [IL2CPP] - https://www.unknowncheats.me/forum/unity/465283-il2cppruntimedumper.html [IL2CPP] - https://github.com/shalzuth/NativeNetSharp [Injecting C# code] - https://github.com/januwA/game-reversed-study [CE Guide zh] - https://github.com/csgohacks/master-guide [CSGO Guide] - different-ways-hooking [Hook Guide] - http://pwnadventure.com [Hackable Game] - https://github.com/GameCrashProject/UE4-Hacking-Guideline [Unreal] - https://github.com/TimMisiak/WinDbgCookbook [WinDbg] - https://github.com/anhkgg/awesome-windbg-extensions [WinDbg] - Undetected Cheat Engine - Guide about remote Windows kernel debugging - https://github.com/rmusser01/Infosec_Reference/blob/master/Draft/Games.md [Game Hacking] - https://github.com/cragson/osmium [C++ Framework for external cheats] - https://github.com/WangXuan95/Xilinx-FPGA-PCIe-XDMA-Tutorial [DMA Tutorial] - https://github.com/NetKingJ/awesome-android-security [Android (Samsung) Security Research References] - https://github.com/gregkh/kernel-development [Linux kernel development] Debugging - https://github.com/stars/gmh5225/lists/debugger [List] - https://github.com/cheat-engine/cheat-engine - https://github.com/SinaKarvandi/Hypervisor-From-Scratch [Hypervisor] - https://github.com/JasonGoemaat/CheatEngineMonoHelper [CE Mono Helper] - https://github.com/DoranekoSystems/frida-ceserver [CE Server For IOS] - https://github.com/DoranekoSystems/ceserver-ios [Porting ceserver to iOS.Dynamic analysis] - https://github.com/gmh5225/cheat-engine-ceserver-pcileech [CE Server For Pcileech] - https://github.com/user23333/veh [CE Plugin For Manualmap VEH Dll] - https://github.com/x64dbg/x64dbg - https://github.com/marakew/syser - https://github.com/noword/GDB-Windows-Binaries [GDB] - https://github.com/ajkhoury/ReClassEx - https://github.com/ReClassNET/ReClass.NET - https://github.com/niemand-sec/ReClass.NET-DriverReader [ReClass DriverReader] - https://github.com/imerzan/ReClass-DMA [ReClass DMA] - https://github.com/Metick/CheatEngine-DMA [CheatEngine DMA] - https://github.com/x64dbg/DotX64Dbg - https://github.com/imugee/xdv - https://github.com/eteran/edb-debugger [For Linux] - https://github.com/korcankaraokcu/PINCE [For Linux] - https://github.com/mrexodia/TitanHide - https://github.com/Air14/HyperHide - https://github.com/HyperDbg/HyperDbg - https://github.com/3526779568/vt-debuger - https://github.com/teemu-l/execution-trace-viewer - https://github.com/changeofpace/Force-Page-Protection [Bypass Remap Memory] - https://github.com/icsharpcode/ILSpy [For Unity] - https://github.com/dnSpy/dnSpy [For Unity] - https://github.com/HoLLy-HaCKeR/dnSpy.Extension.HoLLy [For Unity] - https://github.com/mandiant/dncil [For Unity] - https://github.com/hugsy/CFB [Monitor IRP] - https://github.com/Kharos102/IOCTLDump [Monitor IRP] - https://ioninja.com/downloads.html [Protocol Analyzer] - https://github.com/wilszdev/SteamAntiAntiDebug [Steam] - https://github.com/H5GG/H5GG [IOS cheat engine] - https://github.com/ri-char/pwatch [HWBP on linux] - https://github.com/Ylarod/hardware-breakpoint [HWBP on linux/android] Packet Sniffer&Filter - https://github.com/WPO-Foundation/win-shaper - https://github.com/wiresock/ndisapi - https://github.com/Akebi-Group/Akebi-PacketSniffer - https://github.com/basil00/Divert [Packet Divert] - https://github.com/fksvs/inject - https://github.com/hercul3s/Packet-Sniffer [Packet Logger/Decryptor] Packet Capture&Parse - https://github.com/seladb/PcapPlusPlus [Pcap] - https://github.com/nmap/npcap SpeedHack - https://github.com/absoIute/Speedhack - https://github.com/Letomaniy/Speed-Hack - https://github.com/IamSanjid/ce_speed_hack RE Tools - https://dogbolt.org - https://github.com/msd0pe-1/cve-maker [Tool to find CVEs and Exploits] - https://github.com/mentebinaria/retoolkit [Reverse Engineer's Toolkit] - https://github.com/stevemk14ebr/RETools - https://github.com/BataBo/ACEPatcher [.NET Patcher] - https://github.com/waryas/KACE [Emulate Drivers in RING3 with self context mapping or unicorn] - https://github.com/VollRagm/PTView [Browse Page Tables on Windows] - https://github.com/iBotPeaches/Apktool [Apk] - https://github.com/user1342/Obfu-DE-Scate [Apk] - https://github.com/Genymobile/scrcpy [Display and control your Android device] - https://github.com/barry-ran/QtScrcpy [Display and control your Android device] - https://github.com/guided-hacking/GH-Offset-Dumper [Scans for signatures and netvars and dumps their relative offsets] - https://github.com/guided-hacking/GH-Entity-List-Finder [Scans game processes for most likely entity list addresses] - https://github.com/rednaga/APKiD [PEiD for Android] - https://github.com/Col-E/Recaf [Java] - https://github.com/tomvita/SE-tools [Nintendo Switch] - https://github.com/StudentBlake/XCI-Explorer [XCI Explorer] - https://github.com/Anonym0ose/JitDumper [A CIL method body dumper] - https://github.com/cfig/Android_boot_image_editor [A tool for reverse engineering Android ROM images] - https://github.com/hasherezade/pe-bear [PE Viewer] - https://github.com/zodiacon/TotalPE2 [PE Viewer] - https://github.com/APKLab/APKLab [Android Reverse-Engineering Workbench for VS Code] - https://github.com/evild3ad/MemProcFS-Analyzer [Windows Forensic Analysis] - https://github.com/eybisi/kavanoz [Statically unpacking common android banker malware] - https://github.com/cyberark/PipeViewer [Shows detailed information about named pipes in Windows] - https://github.com/cursey/regenny [Reconstruct structures and generate header files] - https://github.com/zodiacon/EtwExplorer [View ETW Provider manifest] - https://github.com/DoranekoSystems/ceserver-ios [Porting ceserver to iOS.Dynamic analysis] - https://github.com/VoidSec/ioctlpus [Be used to make DeviceIoControl requests with arbitrary inputs] - https://github.com/horsicq/Nauz-File-Detector [Linker/Compiler/Tool detector] - https://github.com/gcarmix/HexWalk [Hex Viewer/Editor/Analyzer] - https://github.com/RomanRybachek/ioctl_helper [GUI tool for sending IOCTL to windows drivers] - https://github.com/sevaa/dwex [DWARF Explorer] - https://github.com/katahiromz/RisohEditor [Win32 resource editor] - https://github.com/Fadi002/de4py [Toolkit for python reverse engineering] - https://github.com/skelsec/minidump [Python library to parse and read Microsoft minidump file format] - https://github.com/zodiacon/QuickAsm [x86/x86 assembler and emulator] - https://github.com/skylot/jadx [Dex to Java decompiler] - https://github.com/google/android-classyshark [Android and Java bytecode viewer] - https://github.com/marin-m/vmlinux-to-elf [vmlinux to elf] - https://github.com/emlinhax/DbgViewEx [A tool to log ETW Events and system debug logs] - https://github.com/amosshi/binaryinternals [View Internals of Binary File] - https://github.com/WerWolv/ImHex [A Hex Editor for Reverse Engineers] - https://github.com/microsoft/pdblister [Faster version of symchk /om for generating PDB manifests] - https://github.com/yaxinsn/vermagic [Change vermagic and CRCs of a Linux Kernel Module] - https://github.com/rhboot/pesign [Linux tools for signed PE-COFF binaries] - https://github.com/SV-Foster/UnSign [Remove all digital signatures from PE/COFF executable] - https://github.com/colinsenner/PECleaner [Strips all RICH header information from x86/x64 binaries] - https://github.com/kouzhudong/AntiHook [Enum and Remove Hook in Windows] - https://github.com/jixiaoyong/ApkSigner [Android Apk Sign Tool] - https://github.com/4d61726b/VirtualKD-Redux [A revival and modernization of VirtualKD] - https://github.com/ax/apk.sh [A Bash script that makes reverse engineering Android apps easier] - https://github.com/vm03/payload_dumper [Android OTA payload dumper] - https://github.com/ssut/payload-dumper-go [Android OTA payload dumper] - https://github.com/MlgmXyysd/Xiaomi-HyperOS-BootLoader-Bypass [Xiaomi HyperOS BootLoader Bypass] Fix VMP - https://github.com/Obfuscator-Collections/VMProtect - https://github.com/wallds/NoVmpy - https://github.com/gmh5225/VMP-Vmp3_64bit_disasm-prerelease- - https://github.com/gmh5225/Vmp3_utils - https://github.com/archercreat/titan - https://github.com/NaC-L/Mergen - https://github.com/fjqisba/VmpHelper Fix Themida - https://github.com/sodareverse/TDE Fix OLLVM - https://bbs.pediy.com/thread-272414.htm - https://github.com/obpo-project/obpo-plugin Dynamic Binary Instrumentation - https://github.com/hzqst/unicorn_pe - https://github.com/googleprojectzero/TinyInst - https://github.com/revsic/cpp-veh-dbi - https://github.com/ZehMatt/CovCane - https://github.com/bitdefender/river - https://github.com/beehive-lab/mambo [ARM] - https://github.com/DynamoRIO/drmemory - https://github.com/aroxby/dynre-x86 - https://github.com/WaterlooBridge/adbi [For Android] - https://github.com/crmulliner/adbi [For Android] Launcher Abuser - https://github.com/Ricardonacif/launcher-abuser Bypass PatchGuard - https://github.com/armasm/EasyAntiPatchGuard - https://github.com/9176324/Shark - https://github.com/gmh5225/Patchguard-2023 [Shark] - https://github.com/hfiref0x/UPGDSED [File] - https://github.com/Mattiwatti/EfiGuard [EFI] - https://github.com/zzhouhe/PG1903 [Demo NX] - https://gist.github.com/gmh5225/0a0c8e3a2d718e2d6f9b6a07d5e0f80a [PG CTX] - https://github.com/gmh5225/QuickPGTrigger [Stress Testing] - https://github.com/tandasat/Sushi [Monitoring PG] - https://github.com/gmh5225/Disabling-Hyper-V [Disable Hyper-V] - https://github.com/AdamOron/PatchGuardBypass - https://github.com/zer0condition/Demystifying-PatchGuard - https://github.com/4l3x777/dse_pg_bypass [DSE & PG bypass via BYOVD attack] Driver Signature enforcement - https://github.com/gmh5225/dse_hook - https://github.com/gmh5225/Dse-Patcher-2 - https://github.com/gmh5225/DisableDSE Windows Kernel Explorer - https://github.com/NullArray/WinKernel-Resources [Guide] - https://github.com/supermanc88/Document/tree/master/Windows%20Driver%20Development [Guide] - https://windiff.vercel.app/# [Diff] - https://github.com/gmh5225/ntoskrnl_file_collection [Various versions of ntoskrnl files] - https://github.com/gmh5225/win32k_file_collection [Various versions of win32k files] - https://github.com/gmh5225/win32k_file_collection2 [Various versions of win32k files] - https://github.com/jiubanlo/WinNT5_src_20201004 [Leaked Windows XP Source] - https://github.com/BlackINT3/OpenArk [Tool] - https://github.com/BeneficialCode/WinArk [Tool] - https://github.com/hfiref0x/KDU [Kernel Driver Utility Tool] - https://github.com/jthuraisamy/TelemetrySourcerer [Enumerate and disable callbacks/ETW] - https://github.com/progmboy/openprocmon [open source process monitor] - https://github.com/winsiderss/systeminformer [Tool] - https://github.com/0xcpu/ExecutiveCallbackObjects [Callback] - https://github.com/0xcpu/WinAltSyscallHandler [AltSystemCallHandlers] - https://github.com/DownWithUp/CallMon [AltSystemCallHandlers] - https://github.com/everdox/InfinityHook [ETW Hook] - https://github.com/AyinSama/Anti-AntiDebuggerDriver [ETW Hook] - https://github.com/gmh5225/AcDrv [ETW Hook] - https://github.com/FiYHer/InfinityHookPro [ETW Hook Ex] - https://github.com/gmh5225/ETWHOOK-InfinityHookClass [ETW Hook Ex] - https://github.com/DearXiaoGui/InfinityHookPro-main [ETW Hook WIN11] - https://github.com/ThomasonZhao/InfinityHookProMax [ETW Hook WIN11] - https://github.com/Oxygen1a1/InfinityHook_latest [ETW Hook WIN11] - https://github.com/gmh5225/PDF-PMC-X86 [A Study on PMI in x86-Architecture] - https://github.com/KelvinMsft/ThreadSpy [PMI Callback] - https://github.com/KelvinMsft/PerfMon [PMI Callback] - https://github.com/gmh5225/PMI-hpc [PMI] - https://github.com/marcusbotacin/BranchMonitoringProject [PMI] - https://github.com/gmh5225/NMI-EnumNmiCallback [Enumerate NMI] - https://github.com/gmh5225/Disable-nmi-callbacks [Disable NMI] - https://github.com/gmh5225/NMI-nmi_callback [Triggering NMI] - https://github.com/gmh5225/Kernel_Anti-Cheat [NMI] - https://github.com/jlgreathouse/AMD_IBS_Toolkit [AMD Sampling] - https://github.com/intelpt/WindowsIntelPT [Intel PT] - https://github.com/CristiNacu/ingsoc [Intel PT] - https://github.com/DProvinciani/pt-detector [Intel PT] - https://github.com/googleprojectzero/winafl [Intel PT Fuzzer] - https://github.com/intelpt/winipt [ipt.sys] - https://github.com/australeo/libipt-rs [ipt.sys] - https://github.com/intelpt/processor-trace [Intel PT Decoder] - https://github.com/gmh5225/Driver-intel-PEBs-LoopHPCs [Intel PEBs] - https://github.com/ilovecsad/Ark [Tool] - https://github.com/gmh5225/ntoskrnl_file_collection [Ntoskrnl Version] - https://github.com/gmh5225/win32k_file_collection [Win32k Version] - https://github.com/gmh5225/win32k_file_collection2 [Win32k Version] - https://github.com/gmh5225/MSSymbolsCollection [Kernel Symbols] - https://github.com/am0nsec/wkpe [Enumerate VAD] - https://github.com/armvirus/DriverDllFInder [Find Driver Useless Memory] - https://github.com/MahmoudZohdy/APICallProxy [Windows API Call Obfuscation] - https://github.com/Spuckwaffel/Simple-MmcopyMemory-Hook [Hook MmcopyMemory] - https://github.com/VollRagm/PTView [Browse Page Tables on Windows] - https://github.com/misc0110/PTEditor [PT Editor] - https://github.com/IcEy-999/Ntoskrnl_Viewer [Ntoskrnl Viewer] - https://github.com/ekknod/Nmi [Blocking NMI interrupts] - https://github.com/EquiFox/KsDumper [Dumping processes using the power of kernel space] - https://github.com/mastercodeon314/KsDumper-11 [Classic and legendary KsDumper] - https://github.com/not-matthias/Nemesis [Dumping processes using the power of kernel space] - https://github.com/allogic/KDBG [Tool] - https://github.com/backengineering/Voyager [A Hyper-V Hacking Framework For Windows 10 x64 (AMD & Intel)] - https://github.com/gmh5225/Voyager [A Hyper-V Hacking Framework For Windows 10 x64 (AMD & Intel)] - https://github.com/NurdAlert/modded-voyager - https://github.com/gmh5225/Fortnite-VoyagerTF [Voyager for Fortnite] - https://github.com/repnz/apc-research [APC Internals Research Code] - https://github.com/intel/pcm [Processor Counter Monitor] - https://github.com/ChengChengCC/Ark-tools [Some kernel research] - https://github.com/alal4465/KernelMon [Monitoring Windows Kernel Drivers] - https://github.com/gmh5225/Practical-Reverse-Engineering-Solutions [DPC+APC] - https://github.com/br-sn/CheekyBlinder [Enumerating and removing kernel callbacks using signed vulnerable drivers] - https://github.com/GetRektBoy724/DCMB [Removing kernel callbacks] - https://github.com/Air14/KDBGDecryptor [A simple example how to decrypt kernel debugger data block] - https://github.com/FaEryICE/MemScanner [Memory scanner] Magisk - https://github.com/PShocker/Zygisk-MagiskHide - https://github.com/longpoxin/hideroot - https://github.com/canyie/Riru-MomoHider - https://github.com/newbit1/rootAVD [root AVD] - https://github.com/Fox2Code/FoxMagiskModuleManager [A module manager for Magisk] - https://github.com/Dr-TSNG/ZygiskOnKernelSU [Run Zygisk on KernelSU] - https://github.com/svoboda18/magiskboot [Boot Image Modification Tool] - https://github.com/xiaoxindada/magiskboot_ndk_on_linux [Boot Image Modification Tool] - https://github.com/ookiineko/magiskboot_build [Boot Image Modification Tool] - https://github.com/gmh5225/magiskboot-linux [Use GitHub Actions to build magiskboot] - https://github.com/the-dise/EasyPixel [Magisk module that disguises a device under Google Pixel] - https://github.com/gmh5225/MagiskHide [Portable MagiskHide] - https://github.com/lico-n/ZygiskFrida [Injects frida gadget using zygisk] - https://github.com/anasfanani/Magisk-Tailscaled [Magisk module for running Tailscale] - https://github.com/j-hc/FlagSecurePatcher [Disable flag secure and screenshot listeners] Frida - https://github.com/CrackerCat/strongR-frida-android - https://github.com/gmh5225/frida-ue4dump [UE4] - https://github.com/jcalabres/hook-updater [Update Frida hooks automatically] - https://github.com/gmh5225/frida-boot [A binary instrumentation workshop, with Frida, for beginners] - https://github.com/smartdone/Frida-Scripts [Some scripts] - https://github.com/0xdea/frida-scripts [Some scripts] - https://github.com/SeeFlowerX/frida-smali-trace [Smali trace] - https://github.com/Ylarod/Florida [anti-detection version of frida-server] - https://github.com/noobpk/frida-android-hook [Trace classes/functions/and modify the return values] - https://github.com/apkunpacker/AntiFrida_Bypass [Bypass Some AntiFrida Checks] - https://github.com/Abbbbbi/Frida-Seccomp [Frida-Seccomp] - https://github.com/rednaga/frida-stack [Getting better stacks and backtraces in Frida] Hook ART(android) - https://github.com/PAGalaxyLab/YAHFA - https://github.com/canyie/pine Android Terminal Emulator - https://github.com/termux/termux-app - https://github.com/sylirre/neotty - https://github.com/jackpal/Android-Terminal-Emulator - https://github.com/NeoTerrm/NeoTerm Android File Explorer - https://github.com/nzcv/note [Guide-zh] - https://github.com/iBotPeaches/Apktool - https://github.com/pxb1988/dex2jar - https://github.com/skylot/jadx [Dex to Java decompiler] - https://github.com/LuckyPray/DexKit-Android [dex deobfuscator] - https://github.com/LSPosed/DexBuilder [Generate dex file by c++] - https://github.com/rednaga/APKiD [PEiD for Android] - https://github.com/APKLab/APKLab [Android Reverse-Engineering Workbench for VS Code] - https://github.com/pgp/XFiles [File explorer for (rooted) Android] - https://github.com/gmh5225/AdbFileManager [File manager using ADB protocol] - https://github.com/MuntashirAkon/AppManager [A full-featured package manager and viewer] - https://github.com/pgp/XFiles [A general-purpose file explorer for (rooted) Android] - https://github.com/Raival-e/File-Explorer [An Android file explorer] Android Memory Explorer - https://github.com/misc0110/PTEditor [PT Editor] - https://github.com/joaomlneto/procmap - https://github.com/kp7742/MemDumper [Dump] - https://github.com/mrcang09/Android-Mem-Edit - https://github.com/ExploitTheLoop/writemem - https://github.com/abcz316/rwProcMem33 [Linux read & write process memory module] - https://github.com/ri-char/rwMem [The fork version of rwProcMem33] - https://github.com/IAIK/armageddon [Cache attacks on ARM] - https://github.com/tamirzb/CVE-2021-1961 [CVE RW] - https://github.com/MJx0/KittyMemory [Runtime code patching] - https://github.com/gmh5225/KittyMemory-IOS [Runtime code patching for IOS] - https://github.com/vrolife/mypower [Memory scanner] - https://github.com/DoranekoSystems/memory_server [Memory scanner & analyzer with REST API] - https://github.com/KuhakuPixel/AceTheGame [Game Hacking Tools] - https://github.com/gmh5225/Android-MemoryTool [RPM] - https://github.com/Anonym0usWork1221/C-Android-Memory-Tool [RPM] Android Kernel CVE - https://github.com/ScottyBauer/Android_Kernel_CVE_POCs [List] - https://github.com/tangsilian/android-vuln [List] - https://github.com/jsirichai/CVE-2019-2215 [Root for Pixel 2/XL] - https://github.com/bluefrostsecurity/CVE-2020-0041 [Root for Pixel 3] - https://github.com/j4nn/CVE-2020-0041 [Root for Pixel 3] - https://github.com/polygraphene/DirtyPipe-Android [Root for Pixel 6] - https://github.com/tiann/DirtyPipeRoot [Root for Pixel 6] - https://github.com/Markakd/bad_io_uring [Root for Pixel 6] - https://github.com/0x36/Pixel_GPU_Exploit [Root for Pixel7/8 Pro with Android 14] Android Bootloader Bypass - https://github.com/MlgmXyysd/Xiaomi-HyperOS-BootLoader-Bypass [Xiaomi HyperOS BootLoader Bypass] Android ROM - https://xdaforums.com [Guide] - https://github.com/Akipe/awesome-android-aosp [Guide] - https://github.com/musabcel/android_rom_list [List] - https://github.com/vm03/payload_dumper [Android OTA payload dumper] - https://developer.android.com/studio/run/win-usb [Google USB Driver] - http://www.miui.com/unlock/download.html [Unlocker for xiaomi] - https://miuiver.com/miflash [MiFlash] - https://xiaomifirmwareupdater.com [Xiaomi Firmware Updater] - https://sourceforge.net/projects/recovery-for-xiaomi-devices/files [TWRP for xiaomi] - https://github.com/cfig/Android_boot_image_editor [Android ROM tool] - https://github.com/badabing2005/PixelFlasher [Android ROM tool for Pixel] - https://github.com/Ctapchuk/android_bootable_recovery-OFRP [OrangeFox Recovery] Android Device Trees - https://github.com/MiCode/kernel_devicetree [xiaomi device trees] - https://github.com/cupid-development/ [xiaomi device trees] - https://github.com/ymdzq/OFRP-device_xiaomi_mondrian [OFRP for Redmi K60 (mondrian)] - https://github.com/flakeforever/device_xiaomi_mondrian [Pixel Experience Plus for for Redmi K6/POCO F5 Pro] Android Kernel Source - https://source.android.com/docs/setup/build/building-kernels [Docs] - https://android.googlesource.com/kernel/manifest/+refs [manifest] - https://android.googlesource.com/kernel/manifest [manifest] - https://android.googlesource.com/kernel/common [GKI] - https://github.com/aosp-mirror/kernel_common [GKI] - https://www.android-x86.org [X86] - https://blissos.org [X86] - https://github.com/MiCode/Xiaomi_Kernel_OpenSource [xiaomi kernel] - https://github.com/xiaomi-sm8450-kernel [xiaomi kernel] - https://github.com/Danda420/kernel_xiaomi_sm8250 [xiaomi kernel for POCO F3/F4] - https://github.com/LowTension/android_kernel_xiaomi_sm8475 [Pixel Experience Plus for for Redmi K6/POCO F5 Pro] - https://github.com/GrapheneOS-Archive/kernel_msm-coral [Pixel 4/4XL/4a] - https://github.com/msnx/KernelSU-Pixel4XL [KernelSU for Google Pixel4XL] - https://github.com/universal5433/android_kernel_samsung_universal5433 [samsung 15433] - https://github.com/SM7325-AE/android_kernel_motorola_dubai [Moto Edge 30] - https://github.com/mylove90/pc_ginkgo [Redmi Note 8/8T with KernelSU] - https://github.com/fiqri19102002/android_kernel_xiaomi_sweet [Redmi Note 10 Pro] - https://github.com/ExWhyZed9/android_kernel_gki_common_5.10 [Redmi Note 11T Pro(+) / POCO X4 GT] - https://github.com/psavarmattas/android_kernel_oneplus_sm7250-WKSU [KernelSU for Oneplus] - https://github.com/huawei-mediatek-devs/android_kernel_huawei_mt6761 [huawei mt6761] - https://github.com/pascua28/android_kernel_samsung_sm7150 [samsung sm7150] - https://github.com/devhunter1/A146B-KSU [KernelSU for SAMSUNG A14 5G (a14x)] - https://github.com/utziacre/android_kernel_xiaomi_pipa [Xiaomi Pad 6 kernel] - https://github.com/utziacre/android_kernel_oneplus_sm8250 [OnePlus 8/8T/8Pro/(9R?) kernel] Android Root - https://github.com/topjohnwu/Magisk - https://github.com/tiann/KernelSU - https://github.com/riarumoda/KernelSU-4.4 [Adapted for Linux Kernel 4.4 + Google GCC 4.9] - https://github.com/bmax121/APatch - https://github.com/abcz316/SKRoot-linuxKernelRoot - https://github.com/0x36/Pixel_GPU_Exploit Android Kernel driver development - https://github.com/gmh5225/AndroidDriveSignity [Bypass driver signature verification in Android kernel(ARMv8.3)] - https://github.com/gmh5225/android-kernel-driver-template [A GKI Android kernel driver(AArch64) template] - https://github.com/dabao1955/kernel_build_action [a action to build kernel automatically] Android Kernel Explorer - https://docs.kernel.org [Linux Kernel documentation] - https://armv8-ref.codingbelief.com/en [ARM Architecture Reference Manual for ARMv8-A] - https://github.com/yhnu/op7t [DIY Kernel] - https://github.com/yabinc/simpleperf_demo [Perf] - https://github.com/gmh5225/android_ebpf [EBPF] - https://github.com/PShocker/Android_bpf_sys [EBPF] - https://github.com/SeeFlowerX/stackplz [EBPF] - https://github.com/cloudfuzz/android-kernel-exploitation [Android Kernel Exploitation] - https://github.com/Snoopy-Sec/Localroot-ALL-CVE [Root CVE] - https://github.com/xmmword/dpatch [Syscall Dispatcher Patching PoC] Android Kernel Driver - https://github.com/rogxo/kernel_hack - https://github.com/Jiang-Night/Kernel_driver_hack - https://github.com/WeiJiLab/kernel-hook-framework [Kernel inline hook framework] Android Network Explorer - https://github.com/emanuele-f/PCAPdroid Android memory loading - https://github.com/icculus/mojoelf - https://github.com/lockedbyte/so_loader IOS jailbreak - https://github.com/KpwnZ/Def1nit3lyN0tAJa1lbr3akTool [iOS 15.7 and iOS 16.5] - https://github.com/jjolano/shadow - https://github.com/gmh5225/IOS-jailbreak--Fugu15 - https://github.com/Kc57/iHide - https://github.com/palera1n/palera1n - https://github.com/checkra1n - https://github.com/opa334/TrollStore [jailed app] - https://github.com/paradiseduo/IPAPatch [Patch iOS Apps without Jailbreak] IOS Memory Explorer - https://github.com/hackcatml/kfd-explorer [iOS kernel memory explorer] Virtual Environments - https://github.com/FBlackBox/BlackBox [Android] - https://github.com/mandiant/flare-vm - https://github.com/hzqst/VmwareHardenedLoader - https://github.com/d4rksystem/VMwareCloak - https://github.com/utmapp/UTM [Run virtual machines on iOS] Decompiler - IDA Pro - Binary Ninja - https://github.com/NationalSecurityAgency/ghidra - https://github.com/avast/retdec - https://github.com/Col-E/Recaf [Java] - https://github.com/Konloch/bytecode-viewer [Java] - https://github.com/java-deobfuscator/deobfuscator [Java] - https://github.com/angr/binsync [Sync] - https://github.com/crytic/ethersplay [EVM dissassembler] IDA themes - https://github.com/pr701/dp701 [Dark theme for IDA Pro] - https://github.com/seanwupi/ida-dark-plus [Dark+ Theme] - https://github.com/ioncodes/long_night - https://github.com/can1357/IdaThemer IDA Plugins - https://github.com/vmallet/ida-plugins [List of IDA Plugins] - https://github.com/onethawt/idaplugins-list [List of IDA Plugins] - https://github.com/NyaMisty/idasdk-collection/tree/master [IDA SDK] - https://github.com/zyantific/IDASkins [Skins] - https://github.com/endofunky/ida-nord-theme [Skins] - https://github.com/giladreich/ida_migrator [Migrate Database] - https://github.com/can1357/NtRays [Windows Kernel Enhance] - https://github.com/JustasMasiulis/ida_bitfields [Windows Kernel Enhance] - https://github.com/VoidSec/DriverBuddyReloaded [Windows Kernel Analysis] - https://github.com/jhftss/IDA2Obj [COFF Relink] - https://github.com/synacktiv/dotNIET [Import .NET Symbol] - https://github.com/aliyunav/Finger [Recognizing Function By Cloud] - https://github.com/FelixBer/FindFunc [Recognizing Function By Pattern] - https://github.com/kweatherman/sigmakerex [Signature Maker] - https://github.com/A200K/IDA-Pro-SigMaker [Signature Maker] - https://github.com/Mixaill/FakePDB [PDB Generation From IDA] - https://github.com/illera88/Ponce [Symbolic Execution] - https://github.com/airbus-cert/ttddbg [Time Travel Debugging] - https://github.com/P4nda0s/LazyIDA [LazyIDA] - https://github.com/quarkslab/qsynthesis [Greybox Synthesizer geared for deobfuscation of assembly instructions] - https://github.com/medigateio/ida_medigate [RTTI] - https://github.com/OALabs/findyara-ida [Yara] - https://github.com/therealdreg/ida_vmware_windows_gdb [IDA+VMWARE+GDB] - https://github.com/therealdreg/ida_bochs_windows [IDA+BOCHS] - An integration for IDA and VS Code which connects both to easily execute and debug IDAPython scripts - https://github.com/binarly-io/efiXplorer [UEFI firmware] - https://github.com/Accenture/protobuf-finder [Protobuf] - https://github.com/strazzere/golang_loader_assist [GO Reversed] - https://github.com/GregoryMorse/GhidraDec [Ghidra Decompiler] - https://github.com/AntoineBlaud/EasyRe [Trace Execution] - https://github.com/flatz/ida_ps5_elf_plugin [PS5 elf loader] - https://github.com/gaasedelen/tenet [Execution Traces] - https://github.com/synacktiv/frinet [Frida-based tracer] - https://github.com/polymorf/findcrypt-yara [Find crypto constants] - https://github.com/anatolikalysch/VMAttack [VMAttack PlugIn for IDA Pro] - https://github.com/cseagle/sk3wldbg [Unicorn] - https://github.com/RicBent/Classy [Manage classes] - https://github.com/archercreat/ida_names [Renames pseudocode windows with the current function name] - https://github.com/helpsystems/turbodiff [diff] - https://github.com/joxeankoret/diaphora [diff] - An IDAPython module for way more convienent way to Reverse Engineering iOS kernelcaches - https://gitlab.com/eshard/d810 [Deobfuscate code at decompilation time by modifying IDA Pro microcode] - https://github.com/CKCat/d810 [Deobfuscate code at decompilation time by modifying IDA Pro microcode] - https://github.com/airbus-seclab/AutoResolv [Resolves functions imported from external libraries] - https://github.com/snare/ida-efiutils [EFI binaries] - https://github.com/JusticeRage/Gepetto [ChatGPT] - https://github.com/MayerDaniel/ida_gpt [ChatGPT] - https://github.com/mahaloz/DAILA [ChatGPT] - https://github.com/ke0z/VulChatGPT [ChatGPT] - https://github.com/WPeace-HcH/WPeChatGPT [ChatGPT] - https://github.com/lzyddf/IDA_Plugin_PCodeGPT [ChatGPT] - https://github.com/deadeert/EWS [Emulation] - https://github.com/patois/genmc [Display Hex-Rays Microcode] - https://github.com/RolfRolles/HexRaysDeob [Hex-Rays Microcode] - https://github.com/HexRaysSA/goomba [Simplify MBA] - https://github.com/es3n1n/ida-wakatime-py [WakaTime integration for IDA Pro] - https://github.com/senator715/IDA-Fusion [Fast Signature scanner & creator] - https://github.com/cellebrite-labs/PPLorer [Resolves PPL calls to the actual underlying PPL function] - https://github.com/kweatherman/ida_missinglink [Fills in missing indirect CALL & JMP target information] - https://github.com/yubie-re/ida-jm-xorstr-decrypt-plugin [Attempts to decrypt JM Xorstr in some x64 binaries] - https://github.com/timetravelthree/IDARustDemangler [Rust Demangler & Normalizer] - https://github.com/gmh5225/ida-find-.data-ptr [.data ptr lookup script] - https://github.com/repnz/ida-plugins [Register Cross References] - https://github.com/lstaroth/AntiXorstr [Anti Xorstr] - https://github.com/SentineLabs/AlphaGolang [Analyzing Golang Binaries] - https://github.com/tmr232/Sark [IDAPython Made Easy] - https://github.com/govcert-ch/ConfuserEx_IDAPython [Deobfuscation script for ConfuserEx] - https://github.com/sonyps5201314/pdb [PDB plugin with enhance and bugfix] - https://github.com/Coldzer0/IDA-For-Delphi [IDA-For-Delphi] - https://github.com/AntonKukoba1/BetterCallStack [Improve call stack] - https://github.com/za233/IDADeflat [deflat] - https://github.com/RomanRybachek/Copy_RVA [Copy RVA] - https://github.com/RevEngAI/reai-ida [RevEng.AI] - https://github.com/gaasedelen/microavx [AVX Lifter] - https://github.com/thalium/ida_kmdf [IDA kmdf] - https://github.com/zengfr/XrefsExt [XrefsExt plugin] - https://github.com/sterrasec/genpatch [Python script for patching binary] - https://github.com/AzzOnFire/yarka [YARA signature creation] - https://github.com/VirusTotal/vt-ida-plugin [VirusTotal plugin] - https://github.com/crifan/AutoRename [Auto rename symbol] - https://github.com/LAC-Japan/IDA_Plugin_AntiDebugSeeker [Extract anti-debugging] - https://github.com/cseagle/blc [Integrate Ghidra's decompiler] - https://github.com/Goatman13/ps2_ida_vu_micro [Find and disassembly vu microcode in ps2 executables] - https://github.com/arizvisa/ida-minsc [Functional DWIM interface] - https://github.com/wINfOG/IDA_Easy_Life [Deobfuscation] - https://github.com/senko37/yarascan-ida [Scan file with Yara rules] - https://github.com/SamuelTulach/ida-unity-pdb-downloader [Unity PDB Downloader] - https://github.com/TrungNguyen1909/aarch64-sysreg-ida [A IDA plugin to show ARM MSRs nicely] - https://github.com/danielplohmann/gui-plugin-template [A template for cross-compatible GUI plugins] - https://github.com/gmh5225/IDA-MapSymbolParser [IDA Map File Symbol Renamer] - https://github.com/gmh5225/IDA-KallsymsSymbolRenamer [IDA kallsyms Renamer] - https://github.com/XMCVE/import-kallsyms [IDA Pro Plugin to import /proc/kallsyms for Linux Kernel] - https://github.com/tomrus88/OpenLumina [Allows connecting to third party Lumina servers] - https://github.com/stuxnet147/IDA-Assistant [Claude-3 models assistant] - https://github.com/goseungduk/CE_Tracer-IDA [CheatEngine Value Tracer of IDA] - https://github.com/binarly-io/idapcode [Displaying the P-Code for the current function] - https://github.com/ElvisBlue/emotet-deobfuscator [IDA plugin to deobfuscate emotet CFF] - https://github.com/threatlabz/pikabot-deobfuscator [Deobfuscating Pikabot's strings using RC4 and AES] - https://github.com/Pycatchown/ClassMaker [IDA plugin to make classes automatically] - https://github.com/airbus-cert/comida [An IDA Plugin that help analyzing module that use COM] - https://github.com/Sandspeare/ida2llvm [Lifting IDA Microcode into LLVM IR] - https://github.com/crtdll/ida-gameguard-str-dec [GameGuard String Decryption] - https://github.com/kkent030315/IDARustCargo [Displaying potentially installed Cargo dependencies] - https://github.com/dNop90/dOffset [IDA Pro and Cheat Engine to get the offset of the current module] - https://github.com/sneakyevil/ida_functioncolor [IDA Plugin to colorize function definition in pseudocode] - https://github.com/apkunpacker/IDA-Gepetto [IDA plugin which queries Local language models] - https://github.com/Jackiemin233/Gemini-Genius [IDA python 3 plugin and binary file similarity comparison] - https://github.com/lj94093/IDAAndroidBreakpoint [IDA plugin aid to set android so breakpoint] - https://github.com/jonpalmisc/ida_screenshot [High-resolution screenshot capture plugin for IDA Pro] - https://github.com/JANlittle/IDARustHelper [Small rust binary analysis helper for IDA] - https://github.com/mefistotelis/ida-pro-loadmap [Plugin for IDA Pro disassembler which allows loading .map files] - https://github.com/OALabs/hashdb-ida [HashDB API hash lookup plugin for IDA Pro] IDA Signature Database - https://github.com/push0ebp/sig-database Binary Ninja Plugins - https://github.com/Vector35/official-plugins - https://github.com/Vector35/community-plugins - https://github.com/FuzzySecurity/BinaryNinja-Themes [Theme] - https://github.com/EliseZeroTwo/SEH-Helper [SEH Helper] - https://github.com/Vector35/tanto [Slices Functions] - https://github.com/ergrelet/triton-bn [Triton] - https://github.com/google/binexport [BinDiff] - https://github.com/Pusty/BinaryNinjaPlugins - https://github.com/borzacchiello/seninja [Symbolic Execution] - https://github.com/yellowbyte/opaque-predicates-detective - https://github.com/ex0dus-0x/fuzzable [Fuzzer] - https://github.com/jmprdi/binja-division-deoptimization [Division and Modulo Deoptimizer] - https://github.com/Vector35/OpaquePredicatePatcher [Opaque Predicate Patcher] - https://github.com/jmprdi/binja-division-deoptimization [Division and Modulo Deoptimizer] - https://github.com/mrphrazer/obfuscation_detection [Collection of scripts to pinpoint obfuscated code] - Package Binary Code as a Python class using Binary Ninja and Unicorn Engine - https://github.com/seeinglogic/ariadne [Graph Analysis] - https://github.com/skr0x1c0/binja_kc [Plugin for loading MachO kernelcache and dSYM files] - https://github.com/Vector35/workflow_objc [Objective-C] - https://github.com/apekros/binja_sigmaker [Create and find signatures] - https://github.com/dayzerosec/AMD-SP-Loader [AMD-SP or PSP firmware] - https://github.com/WhatTheFuzz/binaryninja-openai [Integrates OpenAI] - https://github.com/dzervas/frinja [Frida plugin for Binary Ninja] - https://github.com/danielplohmann/gui-plugin-template [A template for cross-compatible GUI plugins] Ghidra Plugins - https://github.com/AllsafeCyberSecurity/awesome-ghidra [List] - https://github.com/CENSUS/ghidra-frida-hook-gen - https://github.com/Gekkio/GhidraBoy [Sharp SM83 / Game Boy extension for Ghidra] - https://github.com/fmagin/ghidra-openai [ChatGPT] - https://github.com/securityjoes/ThreatResearch [ChatGPT] - https://github.com/evyatar9/GptHidra [ChatGPT] - https://github.com/moyix/gpt-wpre [ChatGPT] - https://github.com/pudii/gba-ghidra-loader [GameBoy] - https://github.com/MEhrn00/Ghidra_COFFParser [COFF] - https://github.com/ghidragolf/ghidra_scripts [Scripts] - https://github.com/PAGalaxyLab/ghidra_scripts [Scripts] - https://github.com/danbrodsky/GFred [Command Palette] - https://github.com/Nalen98/AngryGhidra [Use angr in Ghidra] - https://github.com/justfoxing/ghidra_bridge [Python 3 bridge to Ghidra's Python scripting] - https://github.com/astrelsky/GhidraOrbis [Orbis OS specific software and file formats] - https://github.com/astrelsky/Ghidra-Cpp-Class-Analyzer [C++ Class and Run Time Type Information Analyzer] - https://github.com/DMaroo/GhidRust [Rust decompiler] - https://github.com/Comsecuris/gdbghidra [GDB session] - https://github.com/hyuunnn/Hyara [Yara] - https://github.com/Deatty/Ghidra-Obfuscation-Detection [Detect obfuscated/complex code] - https://github.com/advanced-threat-research/GhidraScripts [Some scripts] - https://github.com/fuzzypickles14/BetterStringAnalyzer [A better string analyzer for Ghidra] - https://github.com/clearbluejar/ghidriff [Python Command-Line Ghidra Binary Diffing Engine] - https://github.com/Katharsas/ghidra-struct-importer [Struct Importer] - https://github.com/danielplohmann/gui-plugin-template [A template for cross-compatible GUI plugins] - https://github.com/astrelsky/GhidraGradlePlugin [Gradle] Windbg Plugins - https://github.com/comaeio/SwishDbgExt - https://github.com/lowleveldesign/comon [Trace COM] - https://github.com/bruce30262/TWindbg [PEDA-like debugger UI for WinDbg] - https://github.com/JKornev/cfgdump [Analyze Control Flow Guard map] - https://github.com/yardenshafir/WinDbg_Scripts [WinDbg scripts] - https://github.com/long123king/dk [Refactored version of tokenext] - https://github.com/ch3rn0byl/WinDbg-Extensions [Callback Extension] - https://github.com/KasperskyLab/WinDbg-JS-Scripts [JS Scripts] - https://github.com/DumpAnalysis/WinDbg_Copilot [WinDbg Copilot] X64DBG Plugins - https://github.com/x64dbg/x64dbg/wiki/Plugins - https://github.com/horsicq/x64dbg-Plugin-Manager - https://github.com/m417z/Multiline-Ultimate-Assembler - https://github.com/x64dbg/Classroom - https://github.com/VenTaz/Themidie - https://github.com/Ahmadmansoor/x64dbgScript - https://github.com/push0ebp/xMalHunter [Detect malicious materials] - https://github.com/morsisko/xFindOut - https://github.com/jdavidberger/chaiScriptPlugin - https://github.com/gmh5225/X64DBG-ViewDllNotification - https://github.com/legendabrn/AutoAttach - https://github.com/secrary/idenLib [Generate signatures] - https://github.com/GregoryMorse/GhidraDec [Ghidra Decompiler] - https://github.com/x64dbg/x64dbgbinja [Binary Ninja] - https://github.com/DNLINYJ/Anti_miHoYo_Jcc_Obfuscate - https://github.com/mrexodia/DisableParallelLoader [Disable parallel loading of dependencies] - https://github.com/ElvisBlue/x64dbgpython [Running python3 script] - https://github.com/secrary/idenLibX [Library Function Identification] - https://github.com/x64dbg/SlothBP [Collaborative Breakpoint Manager] - https://github.com/Kwansy98/ApiBreakpoint [Api Breakpoint] - https://github.com/0ffffffffh/yummyPaste [paste string formatted byte data block into x64dbg easy] - https://github.com/horsicq/x64dbg-Plugin-Manager [Plugin manager for x64dbg] - https://github.com/ZehMatt/x64dbgPlaytime [Lua script] - https://github.com/milcert/ExpoMon [Exports monitoring] - https://github.com/m417z/x64dbg-xfg-marker [Marks XFG call signatures as data] - https://github.com/Kwansy98/x64dbgCallFinder [Call Finder] - https://github.com/gmh5225/X64DBG-MapLdr [Loads the map file generated by IDA Pro] - https://github.com/mibho/x64dbgTraceReader [Trace Reader] Cheat Engine Plugins - https://github.com/FreeER/CE-Extensions [Lua Extensions] - https://github.com/Skyrimfus/CE-lua-extensions [Lua Extensions] - https://github.com/bbfox0703/Mydev-Cheat-Engine-Tables [CT] - https://github.com/inuNorii/Elden-Ring-CT-TGA [Elden Ring] - https://github.com/gmh5225/CE-remap-plugin [Remap] - https://github.com/gmh5225/overwatch-iat-fixer [Overwatch IAT Fixer] - https://github.com/FreeER/CE-Examples [Some Examples] - Porting ce's monodatacollector to android/ios - https://github.com/DoranekoSystems/wasm-ceserver [Analyzing WebAssembly] Injection:Windows - https://github.com/btbd/smap [Scatter Manual Map] - https://github.com/btbd/modmap [Extend Manual Map] - https://github.com/KGB-1337/memmap [Extend Manual Map] - https://github.com/weak1337/ModExMap [Extend Manual Map] - https://github.com/mactec0/Kernelmode-manual-mapping-through-IAT [IAT Manual Map] - https://github.com/charliewolfe/Stealthy-Kernelmode-Injector [PTE/VAD Manipulation Manual Map] - https://github.com/wbenny/injdrv [APC] - https://github.com/alexkrnl/Kernel-dll-injector [APC] - https://github.com/w1u0u1/kinject [Map + APC] - https://github.com/1401199262/RemoteCall [APC Remote Call] - https://github.com/TheCruZ/Simple-Manual-Map-Injector [Manual Map] - https://github.com/andrew9382/manual_mapping_dll_injector [Manual Map] - https://github.com/danielkrupinski/MemJect [Manual Map] - https://github.com/can1357/ThePerfectInjector [PTE.User] - https://github.com/dumbasPL/fumo_loader [PTE.User] - https://github.com/estimated1337/executor [PTE.User] - https://github.com/Nou4r/PresentInjector [PTE.User] - https://github.com/JGonz1337/kernel-eac-be-injector [PTE.User] - https://github.com/Cr4sh/KernelForge [Hijack ROP] - https://github.com/Compiled-Code/be-injector [Attack COW] - https://github.com/ergrelet/dll-hot-reload [Hot Reload] - https://github.com/ExpLife0011/KeUserModeCallBack [KeUserModeCallBack] - KeUserModeCallBack Win10 - https://github.com/YouNeverKnow00/Kernelmode-DLL-Injector [Manual Map] - windows kernelmode driver to inject dll into each and every process and perform systemwide function hooking - https://github.com/Broihon/GH-Injector-Library [inject library and tool] - https://github.com/5paceman/nightshade [inject tool] - https://github.com/deepinstinct/Dirty-Vanity [RtlCreateProcessReflection] - https://github.com/LloydLabs/ntqueueapcthreadex-ntdll-gadget-injection [NtQueueApcThreadEx + gadget] - https://github.com/3xpl01tc0d3r/ProcessInjection [Various process injection techniques] - https://github.com/zorftw/lsass-extend-mapper [Manual mapper from LSASS] - https://github.com/zorftw/revert-mapper [Map x64 DLLs in WoW64] - https://github.com/SDXT/MMInject [Using NX Bit Swapping and VAD hide] - https://github.com/Fahersto/code_injection [Several code injection techniques] - https://github.com/KameronHawk/Kernel-VAD-Injector [Hide VAD] - https://github.com/nettitude/Tartarus-TpAllocInject [TpAllocInject] - https://github.com/SafeBreach-Labs/PoolParty [ThreadPool] Injection:Linux - https://github.com/ixty/mandibule Injection:Android - https://github.com/gmh5225/Android-ModGamesByInjectZygote - https://github.com/gmh5225/Android-DLL-Injector - https://github.com/reveny/Android-Ptrace-Injector - https://github.com/reveny/Android-LD-Preload-Injector - https://github.com/ohchase/yaui - https://github.com/cs1ime/AndroidSuperInject [Injecting into SELinux-protected system service processes] - https://github.com/erfur/linjector-rs [Code injection on Android without ptrace] DLL Hijack - https://github.com/Sh0ckFR/DLLirant [Hijacking researches] - https://github.com/redteamsocietegenerale/DLLirant [Hijacking researches Tool] - https://github.com/knight0x07/ImpulsiveDLLHijack [Hijacking researches] - https://github.com/wietze/HijackLibs [Project for tracking publicly disclosed DLL Hijacking opportunities] - https://github.com/gmh5225/DLL-Hijack-ExportDumper [Dump the export table of PE files] - https://github.com/cyberark/DLLSpy [DLL Hijacking Detection Tool] - Project for identifying executables and DLLs vulnerable to relative path DLL hijacking - https://github.com/anhkgg/SuperDllHijack [A general DLL hijack technology] - https://github.com/ctxis/DLLHSC [DLL Hijack SCanner] Hook - https://github.com/stars/gmh5225/lists/hook [Lists] - https://github.com/microsoft/Detours - https://github.com/wbenny/DetoursNT - https://github.com/stevemk14ebr/PolyHook - https://github.com/stevemk14ebr/PolyHook_2_0 - https://github.com/WopsS/RenHook - https://github.com/bmax121/KernelPatch [Hooking the Linux kernel] - https://github.com/Zeex/subhook - https://github.com/axhlzy/PyAsmPatch - https://github.com/gmh5225/Driver-KDtour [Easy Kernel Detour] - https://github.com/nelfo/PGHooker [Page Guard] - https://github.com/weak1337/SkipHook [Skip Hook] - https://github.com/0mdi/edgegdi_hook [gdi32 .data swap] - https://github.com/noobpk/frida-android-hook [frida hook for android] - https://github.com/SamuelTulach/LightHook [cross-platform hook library] - https://github.com/3intermute/arm64_silent_syscall_hook [ARM64 Patching exception handler] - https://github.com/kubo/plthook [PLT(Procedure Linkage Table) hook] - https://github.com/WeiJiLab/kernel-hook-framework [linux kernel inline hook framework] - https://github.com/Rprop/And64InlineHook [Android ARMv8 inline hook framework] - https://github.com/GToad/Android_Inline_Hook_ARM64 [Android ARMv8 inline hook framework] ROP Finder - https://github.com/0vercl0k/rp - https://github.com/JonathanSalwan/ROPgadget - https://github.com/helpsystems/Agafi - https://github.com/hugsy/ropgadget-rs ROP Generation - https://github.com/d4em0n/exrop Anti Signature Scanning - https://github.com/scrt/avdebugger RPM - https://github.com/btbd/access - https://github.com/crvvdev/intraceptor [access] - https://github.com/juniorjacob/readwrite-kernel-stable - https://github.com/DarthTon/Blackbone - https://github.com/HoShiMin/Kernel-Bridge - https://github.com/waryas/EUPMAccess - https://github.com/waryas/UMPMLib - https://github.com/EBalloon/Remap [Clone process] - https://github.com/TheCruZ/EFI_Driver_Access [EFI RPM] - https://github.com/SamuelTulach/efi-memory [EFI RPM] - https://github.com/ekknod/SubGetVariable [EFI RPM] - https://www.unknowncheats.me/forum/anti-cheat-bypass/489305-read-write-process-attach.html - https://www.unknowncheats.me/forum/anti-cheat-bypass/444289-read-process-physical-memory-attach.html - https://github.com/gamozolabs/mempeek [Linux] - https://github.com/SamuelTulach/meme-rw [kdmapper] - https://github.com/gmh5225/Driver-RPM-DirectPageManipulation [read physical memory] - https://github.com/btbd/ddma [Disk based DMA for ATA and SCSI] - https://github.com/gmh5225/DDMA-1 [Disk based DMA for ATA and SCSI] - https://github.com/ekknod/vm [Minimal memory library for Windows/Linux] - https://github.com/ALittlePatate/TaxiDriver [W/RPM Driver and usermode for Linux] - https://github.com/gmh5225/Android-MemoryTool [RPM for Android] - https://github.com/Anonym0usWork1221/C-Android-Memory-Tool [RPM for Android] DMA - https://github.com/ufrisk/pcileech - https://github.com/Cr4sh/pico_dma - https://github.com/Spuckwaffel/DMALib [DMA library] - https://github.com/Metick/DMALibrary [DMA library] - https://github.com/ekknod/vm [Minimal memory library for Windows/Linux] - https://github.com/imerzan/ReClass-DMA [ReClass DMA] - https://github.com/Metick/CheatEngine-DMA [CheatEngine DMA] W2S - https://github.com/DrNseven/D3D11-Worldtoscreen-Finder Overlay - https://github.com/coltonon/D2DOverlay - https://github.com/SurgeGotTappedAgain/Window-Hijack - https://github.com/SeanPesce/Direct3D9-Overlay [DX9] - https://github.com/Unkn0wnH4ck3r/GameOverlayUIHook [Steam] - https://github.com/gmh5225/Steam-Hook-Render-PoC [Steam] - https://github.com/xo1337/steam-overlay-x64 [Steam] - https://github.com/Splitx12/StrongSteam [GDI + Steam] - https://github.com/gmh5225/dwmhook [DWM] - https://github.com/LoxTus/dwm-overlay [DWM] - https://github.com/rlybasic/DWM_Hook [DWM] - https://github.com/mfxiaosheng/dwmhook [DWM VFTable] - https://github.com/iraizo/nvidia-overlay-hijack [Hijack Nvidia] - https://github.com/Brattlof/D3DOverlay-Nvidia-Hijack [Hijack Nvidia] - https://github.com/gmh5225/NVIDIA-OVERLAY [Hijack Nvidia] - https://github.com/Calvin-LLC/nvidia-overlay-hijack [Hijack Nvidia] - https://github.com/es3n1n/nvidia-overlay-renderer [Nvidia] - https://github.com/muturikaranja/overlay [SetWindowsHookEx] - https://github.com/gmh5225/OBS-graphics-hook32-Hook [OBS Hook] - https://github.com/plu1337/OBS-Hook [OBS Hook] - https://github.com/PierreCiholas/NotAnOverlay [Duplicating with GDI] - https://github.com/SsageParuders/Android_Native_Surface [Android Native Overlay] - https://github.com/fgsqme/Android_Native_Surface [Android Native Overlay] - https://github.com/xBrunoMedeiros/eac-overlay [EAC Overlay] - https://github.com/3r4y/imgui-external-overlay [imgui overlay] - https://github.com/J0xna/Kernel-Overlay-Hider [Kernel Overlay Hider] - https://github.com/geeksonsecurity/android-overlay-malware-example [Android] - https://github.com/SamuelTulach/OverlayCord [Discord] Render/Draw - https://github.com/vmcall/dxgkrnl_hook - https://github.com/thesecretclub/window_hijack [Hijacking thread contexts] - https://github.com/r1cky33/krnl-gdi-render [Dxgkrnl + GDI] - https://github.com/BadPlayer555/KernelGDIDraw [Kernel + GDI] - https://github.com/NSG650/NtDOOM [Kernel + GDI] - https://github.com/Splitx12/StrongSteam [GDI + Steam] - https://github.com/Sentient111/KernelDrawing [Drawing from kernelmode without any hooks] - https://github.com/wbaby/DoubleCallBack [DWM In Kernel] - https://github.com/cs1ime/KernelDwm [DWM In Kernel] - https://github.com/gmh5225/DWM-DwmDraw [DWM StackWalk] - https://github.com/Polarmods/PolarImGui [Imgui On Android] - https://github.com/vrolife/android_native_app_imgui [Imgui On Android] - https://github.com/LGLTeam/Android-Mod-Menu [Floating mod menu for Android] - https://github.com/springmusk026/ImGui-Unity-With-Layout [Imgui For Unity] - https://github.com/springmusk026/Imgui-Unity [Imgui For Unity] - https://github.com/gmh5225/Android-Mod-Menu-ImGui [Imgui For Unity] - https://github.com/Octowolve/Unity-ImGUI-Android [Imgui For Unity] - https://github.com/lbertitoyt/ImGUI-Zygisk-Unity [Imgui For Unity] - https://github.com/gmh5225/zygisk-imgui-modmenu [ImGui with Zygisk] - https://github.com/gmh5225/ImGui-Unity-Android [Imgui For Unity] - https://github.com/gmh5225/BepInEx-IL2CPPBase [IL2CPP Menu] - https://github.com/springmusk026/Android-Mod-Menu-Kotlin [IL2CPP Menu] - https://github.com/gmh5225/Android-OpenGL-ES-Chams [Chams] - https://github.com/RequestFX/ImGUI-Advanced-Cheat-Menu [Imgui Menu] - https://github.com/gmh5225/External-imgui-Cheat-Menu-Example-2023 [External Imgui Menu] - https://github.com/gmh5225/External-ImGui-Android [External Imgui Menu for Android] - https://github.com/xProHackerx/imgui-ios-mod-menu [Imgui Menu for IOS] - https://github.com/sy1ntexx/egui-d3d11 [Menu] - https://github.com/springmusk026/Android-ModMenu-SemiJni [Menu for imgui] - https://github.com/fedes1to/Zygisk-ImGui-Menu [ImGui menu using Zygisk] - https://github.com/reveny/Zygisk-ImGui-Mod-Menu [ImGui menu using Zygisk] - https://github.com/s4m33r89/Imgui-Native-ModMenu [Imgui Menu for Android] UI Interface - https://github.com/adamhlt/ImGui-Standalone Vulnerable Driver - https://www.loldrivers.io/drivers - https://github.com/magicsword-io/LOLDrivers - https://github.com/rtfmkiesel/loldrivers-client [Scan loldrivers] - https://github.com/FourCoreLabs/LolDriverScan [Scan loldrivers] - https://github.com/trailofbits/HVCI-loldrivers-check [HVCI loldrivers check] - https://github.com/hacksysteam/HackSysExtremeVulnerableDriver [Guide] - https://github.com/xct/windows-kernel-exploits [Guide] - https://github.com/namazso/physmem_drivers [Vulnerable Driver List] - https://github.com/alfarom256/drivers_and_shit [Vulnerable Driver List] - https://github.com/NullArray/WinKernel-Resources/tree/main/Drivers [Vulnerable Driver List] - https://github.com/CaledoniaProject/drivers-binaries [Vulnerable Driver List] - https://github.com/Xxmmy/vulnerable-driver-scanner [Scans for vulnerable drivers] - https://github.com/Sentient111/VulnerableDriverScanner [Scans for vulnerable drivers] - https://github.com/shareef12/cpuz [CPU-Z] - https://github.com/SamLarenN/CPUZ-DSEFix [CPU-Z] - https://github.com/gmh5225/gdrv-loader/tree/1909_mitigation [gdrv.sys] - https://github.com/backengineering/VDM [gdrv enhance] - https://github.com/Compiled-Code/eac-mapper [gdrv.sys] - https://github.com/gmh5225/CVE-2018-19320-LPE [gdrv.sys] - https://github.com/gmh5225/CVE-2018-19320 [gdrv.sys] - https://github.com/gmh5225/gdriver-lib [gdrv.sys] - https://github.com/holi4m/gdrv-loader-v2 [gdrv.sys] - https://github.com/gmh5225/KDP-compatible-driver-loader [gdrv.sys] - https://github.com/1337kenzo/gdrv-loader-updated [gdrv.sys Win11] - https://github.com/eddeeh/kdmapper [iqvw64e.sys] - https://github.com/TheCruZ/kdmapper [iqvw64e.sys] - https://github.com/Brattlof/kdmapper-1909 [iqvw64e.sys] - https://github.com/paysonism/saturn-mapper [iqvw64e.sys] - https://github.com/rmccrystal/kdmapper-rs [A kdmapper library for Rust] - https://github.com/kkent030315/MsIoExploit [MsIo64.sys] - https://github.com/gmh5225/VulnerableKernel_Driver [MsIo64.sys] - https://github.com/kkent030315/evil-mhyprot-cli [Mhyprot2.sys] - https://github.com/leeza007/evil-mhyprot-cli [Mhyprot2.sys] - https://github.com/zer0condition/mhydeath [Mhyprot2.sys] - https://github.com/keowu/mhyprot2 [Mhyprot2.sys] - https://github.com/kagurazakasanae/Mhyprot2DrvControl [Mhyprot2.sys] - https://github.com/gmh5225/CVE-2020-36603 [Mhyprot2.sys] - https://github.com/tanduRE/AvastHV [Avast] - https://github.com/iPower/KasperskyHook [Kaspersky] - https://github.com/SamuelTulach/EvilKaspersky [Kaspersky] - https://github.com/mathisvickie/CVE-2021-21551 [dbutil_2_3.sys] - https://github.com/ch3rn0byl/CVE-2021-21551 [dbutil_2_3.sys] - https://github.com/SpikySabra/Kernel-Cactus [dbutil_2_3.sys] - https://github.com/mzakocs/CVE-2021-21551-POC [dbutil_2_3.sys] - https://github.com/Flerov/TS-Fucker [dbutil_2_3.sys] - https://github.com/Splitx12/imxyviMapper [AsUpIO.sys] - https://github.com/archercreat/vdk [Speedfan.sys] - https://github.com/SamLarenN/SpeedFan-Exploit [Speedfan.sys] - https://github.com/Gbps/CapcomLib [Capcom.sys] - https://github.com/es3n1n/dolboeb-executor [Capcom.sys] - https://github.com/SamLarenN/CapcomDKOM [Capcom.sys] - https://github.com/Exploitables/CVE-2015-2291 [IQVW64.sys] - https://github.com/KiFilterFiberContext/AsIO-Exploit [AsIO3.sys] - https://github.com/IamM47Z/OpenHardwareMonitor-PoC [OpenHardwareMonitorLib.sys] - https://github.com/RedCursorSecurityConsulting/PPLKiller [RTCore64.sys] - https://github.com/Processus-Thief/PsNotifRoutineUnloader [RTCore64.sys] - https://github.com/zeze-zeze/CYBERSEC2023-BYOVD-Demo [RTCore64.sys] - https://github.com/oakboat/RTCore64_Vulnerability [RTCore64.sys] - https://github.com/ReCryptLLC/CVE-2022-42045 [amsdk.sys] - https://github.com/gmh5225/CVE-2022-3699 [LenovoDiagnosticsDriver.sys] - https://github.com/estimated1337/lenovo_mapper [LenovoDiagnosticsDriver.sys] - https://github.com/estimated1337/lenovo_exec [LenovoDiagnosticsDriver.sys] - https://github.com/kkent030315/CVE-2022-42046 [wfshbr64.sys] - https://github.com/tijme/amd-ryzen-master-driver-v17-exploit [AMD's Ryzen Master Driver] - https://github.com/OmriBaso/RToolZ [ProcExp152.sys] - https://github.com/SamuelTulach/nullmap [Afd.sys] - https://github.com/gmh5225/Windows-10-22H2-Vulnerable-driver-communication [asromgdrv.sys] - https://github.com/alfarom256/HPHardwareDiagnostics-PoC [etdsupp.sys] - https://github.com/ZeroMemoryEx/Blackout [gmer64.sys] - https://github.com/ZeroMemoryEx/Terminator [zam64.sys] - https://github.com/gmh5225/zam64-zemina [zam64.sys] - https://github.com/gmh5225/CVE-2017-9769 [rzpnk.sys] - https://github.com/kite03/echoac-poc [echo_driver.sys] - https://github.com/pseuxide/kur [echo_driver.sys] - https://github.com/gmh5225/NVDrv [nvaudio.sys] - https://github.com/gmh5225/UCMapper [nvaudio.sys] - https://github.com/zeze-zeze/HITCON-2023-Demo-CVE-2023-20562 [AMDCpuProfiler.sys] - https://github.com/keowu/BadRentdrv2 [rentdrv2.sys] - https://github.com/gmh5225/S4Mapper [SignalRgbDriver.sys] - https://github.com/gmh5225/dse_hook [winio64.sys] - https://github.com/enkomio/s4killer [probmon.sys] - https://github.com/floesen/KExecDD [KSecDD.sys] - https://github.com/gmh5225/Win-Driver-EXP/tree/main/CVE-2024-33218 [AsUpIO64.sys] - https://github.com/gmh5225/Win-Driver-EXP/tree/main/CVE-2024-30804 [AsInsHelp64.sys] Driver Communication - https://github.com/gmh5225/Driver-Communication-List - https://github.com/gmh5225/ida-find-.data-ptr [.data ptr lookup script] - https://github.com/EBalloon/Common-Registry [Registry Callback] - https://github.com/gmh5225/Common-Registry-Jmp-RCX [Registry Callback] - https://github.com/0xGREG/registry-callbacks [Registry Callback] - https://github.com/adrianyy/rw_socket_driver [Socket] - https://github.com/zoand/BOOM [Hijack Beep.sys] - https://github.com/gmh5225/Driver-read_write [Hijack IRP Beep.sys] - https://github.com/isoadam/gina_public [Hijack IRP Null] - https://github.com/Barracudach/Swap-control-ioctl [Hijack IRP SpeedFan.sys] - https://github.com/adspro15/km-um-communication - https://github.com/Spuckwaffel/Kernel-Thread-Driver [Thread] - https://github.com/Astronaut00/DoubleDataPointer [Double Data Pointer] - https://github.com/btbd/access [NtConvertBetweenAuxiliaryCounterAndPerformanceCounter] - https://github.com/paradoxwastaken/Poseidon [NtConvertBetweenAuxiliaryCounterAndPerformanceCounter] - https://github.com/FarmEquipment69/umap-mapper [NtConvertBetweenAuxiliaryCounterAndPerformanceCounter] - https://github.com/weak1337/EvCommunication [NtTokenManagerCreateFlipObjectReturnTokenHandle] - https://github.com/gmh5225/Driver-kaldereta [NtTokenManagerGetAnalogExclusiveTokenEvent] - https://github.com/UCFoxi/Shared-FlushFileBuffers-Communication [FlushFileBuffers] - https://github.com/gmh5225/UCFoxi-Shared-FlushFileBuffers-Communication-Update FlushFileBuffers] - https://github.com/Sinclairq/DataCommunication [NtCompareSigningLevels] - https://github.com/ExpLife0011/NtCompareSigningLevel-hook [NtCompareSigningLevels] - https://github.com/muturikaranja/AfdIrpCallDispatch [.data Pointer hook in Afd.sys] - https://www.unknowncheats.me/forum/anti-cheat-bypass/483093-vtable-kernel-function-hook-communication.html [NtUserMessageCall] - https://github.com/EBalloon/MapPage [NtUserGetObjectInformation] - https://github.com/Compiled-Code/eac-mapper [NtMapVisualRelativePoints] - https://github.com/gmh5225/eac-bypass-1 [NtMapVisualRelativePoints] - https://git.back.engineering/_xeroxz/NtWin32k [NtUserGetThreadState] - https://github.com/sbsbsbssbsbs/boundcallback [KeRegisterBoundCallback] - https://github.com/Skengdoo/DataPtrSwap-driver [NtSetCompositionSurfaceAnalogExclusive] - https://github.com/xPasters/.data-ptr-swap [NtSetCompositionSurfaceAnalogExclusive] - https://github.com/ryan-weil/ReadWriteDriver [NtUserSetSysColors] - https://github.com/D3DXVECTOR2/NtUserUpdateWindowTrackingInfo [NtUserUpdateWindowTrackingInfo] - https://github.com/KiFilterFiberContext/windows-software-policy [clip] - https://github.com/gmh5225/Interep-Driver-Leak [NtGdiPolyPolyDraw] - https://github.com/gmh5225/Comm-data-ptr-driver [NtGdiPolyPolyDraw] - https://github.com/JGonz1337/kernel-eac-be-comm [NtGdiPolyPolyDraw] - https://github.com/Lynnette177/Rigel-Driver [NtGdiDdDDINetDispGetNextChunkInfo] - https://github.com/NullTerminatorr/NullHook [NtDxgkGetTrackedWorkloadStatistics] - https://github.com/gmh5225/Kernel-Cheat-for-directx3D [NtDxgkGetTrackedWorkloadStatistics] - https://github.com/gmh5225/Comm-Data-Pointer-Swap [NtDCompositionSetChildRootVisual] - https://github.com/gmh5225/Comm-NekoSwap [Win32kApiSetTable] - https://github.com/Deputation/kernel_payload_comms [Shared Memory] - https://github.com/Chase1803/UCMiraka-ValorantExternal [NtUserGetPointerProprietaryId] - https://github.com/gmh5225/Comm-ImMiraclela [NtDxgkGetTrackedWorkloadStatistics/NtDxgkGetAvailableTrackedWorkLoadIndex] - https://www.unknowncheats.me/forum/2976731-post45.html [IsWin32KSyscallFiltered] - https://github.com/J0xna/Kernel-Overlay-Hider [NtMITPostWindowEventMessage] - https://github.com/gmh5225/Eac-Injector-Driver [NtQueryIntervalProfile] - https://github.com/gmh5225/job_communication [NtQueryInformationJobObject] - https://github.com/estimated1337/custom_data_ptr_swap_sample [NtQueryLicenseValue] - https://github.com/zer0condition/ZeroThreadKernel [NtCreateCompositionSurfaceHandle] - https://github.com/gmh5225/NullDriverCheat [NtOpenCompositionSurfaceSectionInfo] - https://www.unknowncheats.me/forum/anti-cheat-bypass/560809-firmwaretablehandler.html [FirmwareTableHandler] EFI Driver - https://github.com/mrexodia/EfiCMake - https://github.com/tandasat/MiniVisorPkg - https://github.com/Shtan7/VisualUEFI-2.0 [Debug source with clion+clang+gdb] - https://github.com/SamuelTulach/EasyUefi [Visual Studio template for GNU-EFI] - https://github.com/btbd/umap [EFI Manual Map] - https://github.com/ekknod/sumap [EFI Manual Map] - https://github.com/xtremegamer1/xigmapper [EFI Manual Map] - https://github.com/Valthrun/valthrun-uefi-mapper [EFI Manual Map] - https://github.com/ekknod/KiSystemStartupMeme [Custom KiSystemStartup] - https://github.com/SamuelTulach/efi-memory [RPM] - https://github.com/TheCruZ/EFI_Driver_Access [RPM] - https://github.com/gmh5225/Driver-efi-bootkit - https://github.com/SamuelTulach/rainbow [HWID] - https://github.com/gmh5225/-Rainbow---EFI [HWID] - https://github.com/Kiaoee/Fortnite-EFI-External [Fortnite] - https://github.com/ajkhoury/UEFI-Bootkit - https://github.com/SamuelTulach/negativespoofer [HWID] - https://github.com/SamuelTulach/EfiDump [Dump] - https://github.com/ekknod/Nmi [Blocking NMI interrupts] - https://github.com/ekknod/smm [Smm cheat] - https://github.com/sa413x/UEFI-Bootloader [Simple mmapper which using UEFI runtime driver] - https://github.com/realoriginal/bootlicker [Generic UEFI bootkit used to achieve initial usermode execution] - https://github.com/ekknod/efi-monitor [Hooking MmCopyMemory PG safe] - https://github.com/leap0x7b/luaboot [A fully scriptable UEFI bootloader] - https://github.com/Cr4sh/SmmBackdoorNg [UEFI backdoor] - https://github.com/Oliver-1-1/UEFI-Graphic [Simpel usage of graphic in UEFI] - https://github.com/Jamesits/BGRTInjector [Changes the boot screen image on a UEFI computer] QEMU/KVM/PVE - https://github.com/david942j/kvm-kernel-example [Guide] - https://github.com/airbus-seclab/qemu_blog [Guide] - https://github.com/BigAnteater/KVM-GPU-Passthrough [GPU Passthrough] - https://github.com/ispras/qemu/tree/windbg [Windbg] - https://github.com/cyberus-technology/virtualbox-kvm [VirtualBox with KVM Backend] - https://github.com/Qemu-Gang - https://github.com/memflow/memflow-kvm - https://github.com/IntroVirt/IntroVirt [Guest introspection library] - https://github.com/MisterY52/apex_dma_kvm_pub - https://github.com/SamuelTulach/BetterTiming [Bypass CPU Timing] - https://github.com/WCharacter/RDTSC-KVM-Handler [Bypass RDTSC] - https://github.com/batusan/Hardened-qemu [Hidden QEMU] - https://github.com/zhaodice/qemu-anti-detection [Hidden QEMU] - https://github.com/kila58/qemu-patched [Hidden QEMU] - https://github.com/Scrut1ny/Hypervisor-Phantom [Hidden QEMU] - https://github.com/zhaodice/proxmox-ve-anti-detection [Hidden PVE] - https://github.com/tteck/Proxmox [PVE Helper Scripts] - https://github.com/nyx-fuzz/QEMU-Nyx [Intel-PT] - https://github.com/doomedraven/Tools/blob/master/Virtualization/kvm-qemu.sh [QEMU Script] - https://github.com/GlacierW/MBA [QEMU Malware Behavior Analyzer] - https://github.com/Qemu-Gang/Escape-from-TuxKov [EFT] - https://github.com/LWSS/Ape-ex-Abominations [Apex] - https://github.com/Qemu-Gang/QemuUnrealDumper-4.25 [UE SDK Dump By QEMU] - https://github.com/panda-re/panda [Platform for Architecture-Neutral Dynamic Analysis] - https://github.com/cs1ime/blacksun-framework [Framework for game cheat development] - https://github.com/cs1ime/ceserver-rawmem [CE] - https://github.com/gmh5225/kvm-csgo-cheat [CSGO] - https://github.com/gmh5225/cs16-trigger-kvm [CS1.6] - https://github.com/tenclass/mvisor [C++ remake] - https://github.com/k3v1n1990s/docker-win [wsl2] - https://github.com/SingularityCloud/KVM.Performance [ioapic] Wine - https://github.com/ValveSoftware/Proton [Steam] Anti Screenshot - https://github.com/KANKOSHEV/NoScreen [Hide Window] - https://github.com/gmh5225/dwmhook [DWM] - https://github.com/wongfei/wda_monitor_trick - https://github.com/Mes2d/Screenshot-Detection-Bypass [BitBlt] Spoof Stack - https://github.com/mgeeky/ThreadStackSpoofer - https://github.com/danielkrupinski/x86RetSpoof - https://github.com/Apex-master/return-address-spoofing - https://github.com/Peribunt/Exception-Ret-Spoofing - https://github.com/Peribunt/Ret-Spoofing - https://github.com/WithSecureLabs/CallStackSpoofer - https://github.com/Barracudach/CallStack-Spoofer - https://github.com/frkngksl/NimicStack - https://github.com/thesecretclub/callout-poc - https://github.com/veryboreddd/Return-address-spoofer - https://www.unknowncheats.me/forum/anti-cheat-bypass/512002-x64-return-address-spoofing.html - https://github.com/Kudaes/Unwinder [Another approach to thread stack spoofing] - https://github.com/klezVirus/SilentMoonwalk [a TRUE call stack spoofer] - https://github.com/gmh5225/spoof-stack-SafeCall [header only] - https://github.com/fortra/hw-call-stack [HWBP] - https://github.com/evilashz/ProxyAPICall [Custom stack call] - https://github.com/Kudaes/Shelter [ROP-based sleep obfuscation] Hide - https://github.com/JKornev/hidden - https://github.com/sina85/hide-file [Hide File] - https://github.com/ch3rn0byl/ANTfs [Delete File] - https://github.com/KANKOSHEV/NoScreen [Hide Window] - https://github.com/gmh5225/WindowProtect [Hide Window] - https://github.com/nlepleux/MappedCallback [Hide Callback] - https://github.com/rogerxiii/kernel-codecave-poc [Find Codecave] - https://github.com/armvirus/SinMapper [Manual Map In Signed Driver] - https://github.com/0xf1a/DSMM [Discarded Driver Section Manual Map] - https://github.com/ekknod/sumap [EFI Manual Map] - https://github.com/VollRagm/lpmapper [Manual Map To Large Page Driver] - https://github.com/armvirus/CosMapper [Signed Driver Map] - https://github.com/gmh5225/HideDriverTesting [Hide Driver] - https://github.com/IcEy-999/Drv_Hide_And_Camouflage [Hide Driver] - https://github.com/BadPlayer555/TraceCleaner [Driver Trace Cleaner] - https://github.com/Sentient111/ClearDriverTraces [Driver Trace Cleaner] - https://github.com/KelvinMsft/NoTruth [Hide Memory By VT] - https://github.com/EBalloon/MapPage [Self Map Driver] - https://github.com/Compiled-Code/eac-mapper [Self Map Driver] - https://github.com/nbqofficial/HideDriver [Hide Driver By Modify Flink/Blink] - https://github.com/ExpLife0011/HideDriver [Hide Driver By MiProcessLoaderEntryk] - https://github.com/gmh5225/Driver-HideKernelThread-IoCancelIrp [Hide Kernel Thread] - https://github.com/kitty8904/blanket [Hide Kernel Thread] - https://github.com/jxy-s/herpaderping [Hide Process/File] - https://github.com/Cracked5pider/KaynStrike [Spoofs Thread Start Address] - Using .reloc section to replace the typical allocation calls - https://github.com/longpoxin/hideroot [Magisk] - https://github.com/Rwkeith/Diglett [Hide Kernel Thread] - https://github.com/gmh5225/Driver-SessionMapper [Session Driver] - https://github.com/gmh5225/Map-file-in-system-space [MiMapViewInSystemSpace] - https://github.com/gmh5225/Driver-DriverNoImage [Hijack Driver] - https://github.com/gmh5225/Driver-Systemthread-from-PspCidTable-src [Hide Process/Thread/Handle] - https://github.com/reveny/Android-Library-Remap-Hide [Remap a library for Android] Anti Forensics - https://github.com/PaulNorman01/Forensia Triggerbot & Aimbot - https://github.com/changeofpace/MouHidInputHook - https://github.com/gmh5225/AcDrv [mouse hook] - https://github.com/ekknod/MouseClassServiceCallbackTrick - https://github.com/ekknod/MouseClassServiceCallbackMeme - https://github.com/blackhades00/PareidoliaTriggerbot - https://github.com/adspro15/DirectInput - https://github.com/nbqofficial/norsefire - https://github.com/petercunha/Pine [Neural Network] - https://github.com/gmh5225/AI-FPS-b00m-h3adsh0t [Neural Network] - https://github.com/univrsal/input-overlay [Keyboard Mapper] - https://github.com/Miffyli/gan-aimbots [Machine Learning] - https://github.com/RootKit-Org/AI-Aimbot [Machine Learning YOLOv5] - https://github.com/lehmenkuehler/camera-triggerbot [Camera Triggerbot] - https://github.com/BuddyBoi/KernelMoveMouse [gptCursorAsync] - https://github.com/Zpes/mouse-input-injection [NtUserInjectMouseInput] - https://github.com/gmh5225/Overwatch-1-cheat-source [NtUserInjectMouseInput] - https://github.com/gmh5225/NtUserInjectMouseInput-syscall [NtUserInjectMouseInput SYSCALL] - https://github.com/gmh5225/ClickPic [OpenCV + Triggerbot] - https://github.com/gmh5225/OpenCV-SmartAimBot [OpenCV + Triggerbot] - https://github.com/Lexikos/AutoHotkey_L - https://github.com/tgillam/HumanMouseMovement - https://github.com/Chaoses-Ib/IbInputSimulator [Simulating keyboard, mouse] - https://github.com/gmh5225/razer-rzctl [Razer] - https://github.com/vsaint1/kernel-mouse [MouClass] - https://github.com/gmh5225/android_touch [For Android] - https://github.com/gmh5225/PTFakeTouch [For IOS] WallHack - https://github.com/DrNseven/D3D11-Wallhack HWID - https://github.com/dword64/Ow-Anti-Flag - https://github.com/btbd/hwid - https://github.com/gmh5225/Driver-HWID-btbd-modified - https://github.com/gmh5225/HWID-Permanent-HWID-Spoofer - https://github.com/gmh5225/PrecisionSpoofer-CPP - https://github.com/Theordernarkoz/Hwid-Spoofer-EAC-BE - https://github.com/semihcevik/hwidspoofer - https://github.com/Theordernarkoz/Hwid--Spoofer - https://github.com/Theordernarkoz/Hwid-Spoofer - https://github.com/gmh5225/Apex-Spoofer - https://github.com/gmh5225/HWID-EclipsedSpoofer-EAC-BE - https://github.com/BuzzerFelix/HWIDSpooferEAC - https://github.com/SamuelTulach/rainbow [EFI] - https://github.com/firebitsbr/-Rainbow---EFI [EFI] - https://github.com/btbd/wpp [Intercepting DeviceControl via WPP] - https://github.com/vmcall/owned_alignment [Abusing Alignment] - https://github.com/mopped7/Hwid-Spoofer-Game-Anticheat-Cleaners-Unban-Any-Games-Drivers - https://github.com/gmh5225/HWID-Kernel-Spoofer - HWID-Spoofer-UD-Fortnite-WarZone-Apex-Rust-Escape-From-Tarkov-and-all-EAC-BE-Games-IMGUI-Loader-Base - https://github.com/SamuelTulach/mutante - https://github.com/Veuqx0/ImGui-Spoofer-Leaked - https://github.com/gupr0x4/HWID-Spoofer-for-Fortnite-and-Valorant - https://github.com/gmh5225/Full-Hwid-Spoofer-V6 - https://github.com/gmh5225/HWID-SteamSpywareTerminator [Steam] - https://github.com/SamuelTulach/negativespoofer [EFI] - https://github.com/Alex3434/wmi-static-spoofer - https://github.com/ReFo0/hwid-spoofer - https://github.com/namazso/hdd_serial_spoofer - https://github.com/gmh5225/EASY-HWID-SPOOFER - https://github.com/singhhdev/Spoofer-AMIDEWIN - https://github.com/gmh5225/HWID-Pasted-Hwid-Spoofer - https://github.com/Skotschia/hwid_spoofer - https://github.com/SamuelTulach/tpm-spoofer [TPM] - https://github.com/s0ngidong3/TPM-SPOOFER [TPM] - https://github.com/Android1500/AndroidFaker [Android] Bypass Page Protection - https://github.com/illegal-instruction-co/CountHook [WorkingSet] SDK CodeGen - https://github.com/cursey/sdkgenny - https://github.com/praydog/luagenny - https://github.com/ssyuqixe/obfCoder Game Engine Explorer:Unreal - https://github.com/UE4SS-RE [UE RE] - https://github.com/asjbdkabs/shootergame-Hack [ShooterGame Demo] - https://github.com/cqcallaw/shootergame [ShooterGame Demo] - https://github.com/CorrM/CleanCheat [Game cheat base] - https://github.com/Encryqed/Dumper-7 [SDK Dump for all of UE4 and UE5] - https://github.com/Spuckwaffel/UEDumper [SDK Dump for UE 4.19 - 5.2] - https://github.com/BadBrojo/UEDumper-MemProcFS [UEDumper+MemProcFS 4.19 - 5.2] - https://github.com/Chuan212/UnrealSDKDumper [SDK Dump for UE 4.23 - 4.27] - https://github.com/BobHUnrealTech/UnrealSDKDumper-4.25 [SDK Dump for UE 4.23 - 4.27] - https://github.com/Shhoya/Shh0yaUEDumper [SDK Dump] - https://github.com/guttir14/UnrealDumper-4.25 [SDK Dump] - https://github.com/EZFNDEV/UEDumper [SDK Dump] - https://github.com/gmh5225/frida-ue4dump [SDK Dump For Android/IOS] - https://github.com/MJx0/AndUE4Dumper [SDK Dump For Android] - https://github.com/kp7742/UE4Dumper [SDK Dump For Android] - https://github.com/gmh5225/UE4-Apk-Dumper [SDK Dump For Android] - https://github.com/Zakaria-Master/UE4Dumper_Emulator [SDK Dump For Android] - https://github.com/BigWhite666/BigWhiteTool [SDK Dump For Android] - https://github.com/MJx0/iOS_UE4Dumper [SDK Dump For IOS] - https://github.com/CorrM/Unreal-Finder-Tool [SDK View] - https://github.com/spudgy/UnrealEngine4-SwissKnife [SDK View] - https://github.com/shalzuth/UnrealSharp [SDK View] - https://fearlessrevolution.com/viewtopic.php?f=23&t=14414 [UE4 CE Table] - https://github.com/cursey/ue4genny [SDK Generator] - https://github.com/Zebratic/UE4Injector [Inject] - https://github.com/N-T33/UE4-Silent-Aim [Aimbot] - https://github.com/YMY1666527646/ue4_base [SDK Template] - https://github.com/percpopper/UE4-Freecam [FOV Changer] - https://github.com/RussellJerome/UnrealModLoader [Mod Loader] - Intercept ProcessEvent calls on any game object (Unreal Engine 4) - UE4 Cheat Source Code - https://github.com/bbgsm/ue4_cheat_engine [UE4 Cheat For Android] - unpack, pack, list, check and mount Unreal Engine 4 .pak archives - https://github.com/Qemu-Gang/QemuUnrealDumper-4.25 [SDK Dump By QEMU] - https://github.com/gmh5225/UE-UnrealEngineSDK [Universal Cheat development kit] - https://github.com/atenfyr/UAssetGUI [Viewing and modifying UE4 game assets] - https://github.com/UE-Explorer/UE-Explorer [Browser and decompiler for UE packages] - https://github.com/UE4SS-RE/RE-UE4SS [Re-Host of Unreal Engine 4/5 Scripting System] - https://github.com/SerseDioRe/Unreal-Engine-5-PDB [UE5 PDB] Game Engine Explorer:Unity - https://github.com/mono/mono [mono] - https://github.com/dnSpy/dnSpy-Unity-mono [mono] - https://github.com/Misaka-Mikoto-Tech/MonoHook [mono hook] - https://github.com/dnSpy/Mono.Debugger.Soft [Mono Debugger] - https://github.com/imerzan/unispectDMAPlugin [Mono Dump + DMA] - https://github.com/Perfare/Il2CppDumper [Il2Cpp Dump] - https://github.com/khang06/Il2CppDumper-YuanShen [Il2Cpp Dump for Genshin Impact] - https://github.com/Perfare/Il2CppDumper [Il2Cpp Dump GUI] - https://github.com/Poko-Apps/Il2cppDumpDroidGUI [Il2Cpp Dump GUI] - https://github.com/shalzuth/Il2CppRuntimeDumper [Il2Cpp Dump Runtime] - https://github.com/Perfare/Zygisk-Il2CppDumper [Il2Cpp Dump for Android Platform] - https://github.com/kp7742/IL2CPPDumper [Il2Cpp Dump for Android Platform] - https://github.com/yukiarrr/Il2cppSpy [Unity IL2CPP Disassembler (for apk)] - https://github.com/djkaty/Il2CppInspector [Il2Cpp Dump] - https://github.com/oobbb/android-il2cpp-modspeed [Il2Cpp hack speed] - https://github.com/gmh5225/qiling-il2cpp-dump [Il2Cpp Dump using qiling] - https://github.com/sinai-dev/UnityExplorer - https://github.com/4ch12dy/il2cpp [Il2Cpp Version] - https://github.com/nneonneo/Il2CppVersions [Il2Cpp Version] - https://github.com/sneakyevilSK/IL2CPP_Resolver [IL2CPP resolver] - https://github.com/extremeblackliu/IL2CPP_Resolver_External [IL2CPP resolver] - https://github.com/knah/Il2CppAssemblyUnhollower - https://github.com/reahly/mono-external-lib [External Mono Example] - https://github.com/Compiled-Code/external-il2cpp [Il2Cpp] - https://github.com/Octowolve/Il2CppSDKGenerator [Il2Cpp SDK generator for Android] - https://github.com/00christian00/UnityDecompiled [An unofficial repo of decompiled Unity dll files] - https://github.com/knah/Il2CppAssemblyUnhollower [Managed->IL2CPP proxy assemblies] - https://github.com/CodeCracker-Tools/MegaDumper [Dump native and .NET assemblies] - https://github.com/SeriousCache/UABE [Extracting assets] - https://devxdevelopment.com/Unpacker [Extracting assets] - https://github.com/AssetRipper/AssetRipper [Extracting assets] - https://github.com/Perfare/AssetStudio [Extracting assets] - https://github.com/axhlzy/Il2CppHookScripts [Il2Cpp Hook Scripts] - https://github.com/gmh5225/Il2Cpp-HookScripts [Il2Cpp/Mono Hook Scripts] - https://github.com/BataBo/ACEPatcher [.NET Patcher] - A tool translate a apk file to common android project and support so hook include il2cpp c++ scaffolding - https://github.com/xxzzddxzd/unitySpeedTools [IOS Speed Tools] - https://github.com/gmh5225/il2cpp-finder [Il2Cpp Finder] - https://github.com/gmh5225/frida-il2cpp-datacollector [Il2Cpp datacollector for Android/IOS] - https://github.com/BepInEx/BepInEx [plugin/modding framework] - https://github.com/gmh5225/IL22CPP [ReMake of Il2cpp internal reflection system in C++] - https://github.com/sunnamed434/UnityVulnerableEntryPoint [Looks for a vulnerable entry point] - https://github.com/Azvanzed/MatScan [A multi-threaded rust material scanner] - https://github.com/vfsfitvnm/frida-il2cpp-bridge [Frida dump Il2Cpp] - https://github.com/issuimo/UnityResolve.hpp [Unity cheat framwork] - https://github.com/ByNameModding/BNM-Android [Modding il2cpp games] - https://github.com/SsageParuders/CheatUnityGames [Unity cheat framwork] - https://github.com/sanqiuu/AndroidCheatTemplate [Unity cheat framwork] Game Engine Explorer:Source - https://github.com/anarh1st47/Source2Dumps [Dump] - https://github.com/CallumCVM/ValveGen [SDK Generator] - https://github.com/praydog/Source2Gen [SDK Generator] - https://github.com/neverlosecc/source2gen [SDK Generator] - https://github.com/keowu/sourceengineexplorer [Explorer] - https://github.com/neverlosecc/source2sdk Explore UWP - https://github.com/Wunkolo/UWPDumper - https://github.com/Francesco149/uwpinject [dll injector for uwp apps] - https://github.com/Francesco149/uwpspy [dll that hooks uwp interfaces] Explore AntiCheat System:VAC - https://github.com/danielkrupinski/VAC-Bypass-Loader - https://github.com/danielkrupinski/vac-hooks - https://github.com/mdilai/Shtreeba [Injector] - https://github.com/zyhp/vac3_inhibitor - https://github.com/krispybyte/Vook [VAC hook] - https://github.com/ioncodes/vacation3-emu [VAC3 module emulator] - https://github.com/altoid29/VACDumper [Dump] - https://github.com/x1tan/vac3-dumper [Dump] - https://github.com/nevioo1337/VAC-ModuleDumper [Dump] - https://github.com/Jackbail4/VAC-Bypass - https://github.com/n00bes/PreventVAC - https://github.com/b1scoito/cozinha_loader [Injector] - https://github.com/shuruk421/VACKeyRetrieval [Retrieves VAC module ice encryption key] - https://github.com/RenardDev/DumpVAC [PoC to disable VAC and dump modules with automatic decryption] Explore AntiCheat System:EAC - https://github.com/thesecretclub/CVEAC-2020 [Integrity Checks] - https://github.com/Schnocker/EAC_dbp [Debug] - https://github.com/Compiled-Code/eac-mapper [Eac Mapper] - https://github.com/EBalloon/MmCopyMemory [Bypass MmCopyMemory] - https://github.com/gmh5225/EAC-Kernel-Packet-Fucker [Packet Fucker] - https://github.com/gmh5225/EAC-HydraHook [Packet Fucker] - https://github.com/woomy144/EazyAntiCheatSRC [Reversed Source] - https://github.com/chaeyk/eac-leak [EAC sdk's memory leak] - https://github.com/gmh5225/EAC [SDK] - https://github.com/ksoju/Eac-Bypass - https://github.com/EBalloon/EasyAntiCheat-SRC - https://github.com/gmh5225/EAC-EasyAntiCheat-Src-1 - https://www.unknowncheats.me/forum/anti-cheat-bypass/458928-eacs-maskable-interrupt-callback.html [NMI] - https://www.unknowncheats.me/forum/anti-cheat-bypass/464943-eac-nmi-bypass-callbacks.html [NMI Bypass] - https://github.com/CheeZeDark/EasyAntiCheat-Reversing - https://github.com/Sinclairq/hiearchy-eac [Integrity Checks] - https://github.com/Rat431/EAC_Emu [Simple EasyAntiCheat x64 emulator] - https://github.com/xBrunoMedeiros/eac-overlay [EAC Overlay] - https://github.com/gmh5225/ce-EasyAntiCheat-Bypass [UD CE] - https://github.com/ioncodes/pooldump [Extract the DLL that EACs manualmaps into the game process] - https://github.com/gmh5225/EAC-VmCheck.asm [Virtual machine checking] - https://www.unknowncheats.me/forum/anti-cheat-bypass/561479-eacs-instrumentation-callback-bypass.html - https://github.com/gmh5225/Eac-Injector-Driver [Injector] - https://github.com/gmh5225/EAC-EasyAntiCheatMemorySig [Memory sig maker] - https://github.com/gmh5225/EAC-shellcode-1 [Shellcode] - https://github.com/gmh5225/EAC-Driver-UD-for-now [Sample] - https://github.com/lguilhermee/EAC-Extractor-Utility [Decrypt and Extract the files from the EAC] - https://advancedvectorextensions.github.io/posts/easyanticheat-eprocess-emulation [EProcess Emulation] - https://advancedvectorextensions.github.io/posts/easyanticheat-cr3-protection [CR3 Protection] - https://github.com/Sinclairq/hierarchy-eac [Bypassing self-integrity] - https://github.com/SamuelTulach/eac_cr3_shuffle [Bypassing CR3 protection] - https://github.com/Robert01337/Bypassing-EasyAntiCheat-Integrity-check [Bypassing integrity check] - https://github.com/CamxxCore/EasyAntiCheat-Emulator [EAC Emulator] - https://github.com/Azvanzed/EAC-Runtime-Extractor [Extracts eac's driver at runtime without it touching the disk] - https://gist.github.com/gmh5225/b89938f55bcb65637168f88a433c3d4d [Skip EAC thread detection] - https://github.com/kprprivate/EAC-CR3-BYPASS [A simple UM + KM example of how to bypass EAC CR3] Explore AntiCheat System:BE - https://github.com/Schnocker/NoEye - https://github.com/ZoondEngine/NoBastian_v2 [Elevating Handle By LSASS] - https://github.com/haram/splendid_implanter - https://github.com/HadockKali/battleye-user-mode-bypass [SetWindowsHookExW] - https://github.com/unreaIuser/BE-Emulator - https://github.com/masterpastaa/BattlEye-Handler-BYPASS - https://github.com/dllcrt0/battleye-decryption - https://github.com/dllcrt0/bedaisy-reversal - https://github.com/dllcrt0/battleye-shellcode [shellcode] - https://github.com/gmh5225/BE-BattlEye_shellcode [shellcode] - https://github.com/Compiled-Code/be-injector [Attack COW] - https://github.com/Aki2k/BEDaisy - https://github.com/Luohuayu/BadEye - https://github.com/zouxianyu/BlindEye [Packet Fucker] - https://github.com/huoji120/goodeye - https://github.com/LilPidgey/BEClient - https://github.com/lguilhermee/Battleye-Shellcode-Dumper [BEClient2.dll Dumper] - https://github.com/es3n1n/be-shellcode-tester [BattlEye shellcodes tester] - https://github.com/steffalon/battleye-rust [BattlEye RCON UDP connection] - https://github.com/Hypercall/FakeEye [Emulator] - https://github.com/mexploitui/FakeEye [Emulator] - https://github.com/tr1xxx/battleye-region-walking - https://github.com/SurgeGotTappedAgain/Pink-Eye - https://github.com/R4YVEN/beservice_intcallbacks [Instrumentation Callback] - https://github.com/crtdll/bedaisy-bypass [BEDaisy.sys report bypass] Explore AntiCheat System:EQU8 - https://blog.back.engineering/12/08/2021 - https://github.com/kkent030315/EQU8-PoC - https://github.com/hotline1337/equ8_bypass Explore AntiCheat System:Ricochet - https://github.com/weak1337/ricochet_deobfuscator - https://github.com/gmh5225/AurumRE - https://github.com/gmh5225/ricochet-disabler Explore AntiCheat System:RIOT - https://github.com/Nuxar1/DecryptionDumper [Dump] - https://github.com/lil-skies/val-exception-handler [ZwRaiseException Dump] - https://github.com/gmh5225/Dump-val-exception-handler [RtlpCallVectoredHandlers Dump] - https://github.com/AdvancedVectorExtensions/VanguardImportResolver [Resolve vgk's protected imports] - https://github.com/armvirus/VanguardTrace [Decrypting and intercepting encrypted imports of Vanguards Kernel Driver] - https://www.unknowncheats.me/forum/anti-cheat-bypass/578829-unveiling-unseen-vanguards-guarded-regions.html [CR3 Protection] Explore AntiCheat System:XignCode - https://github.com/Skengdo/XignCode-Dump - https://github.com/st4ckh0und/XignCode3-bypass-alternative - https://github.com/st4ckh0und/XignCode3-bypass Explore AntiCheat System:ACE - https://github.com/H3d9/sguard_limit - https://github.com/rogxo/ReadPhys Explore AntiCheat System:G-Presto - https://github.com/ARandomPerson7/G-Presto-Anti-Cheat-Reverse-Engineered/blob/main/Main.cpp Explore AntiCheat System:NeacSafe - https://github.com/gmh5225/NeacSafe-Analysis Explore AntiCheat System:BadlionAnticheat - https://github.com/KiFilterFiberContext/BadlionLogger Explore AntiCheat System:Byfron - https://byfron.com/ - https://www.unknowncheats.me/forum/anti-cheat-bypass/505486-byfron-tech-anti-cheat-released.html - https://gist.github.com/gmh5225/cbe40345a9400b01329e025478ffb826 [hash] - https://github.com/EnrickMartins/byfron-bypass Explore AntiCheat System:NGS - https://github.com/st4ckh0und/NexonGameSecurity-bypass - https://github.com/st4ckh0und/NexonGameSecurity-bypass-alternative - https://github.com/st4ckh0und/NexonGameSecurity-bypass-wow64 Explore AntiCheat System:FACEIT - https://github.com/ekknod/EC_PRO-LAN Explore AntiCheat System:CS2 - https://github.com/danielkrupinski/cs2-anticheat Game:MapleStory - https://forum.ragezone.com/threads/getting-packet-structures-opcodes-using-ida.792436/ [Packet] - https://github.com/Bratah123/SpiritIDAPlugin [IDA-Plugin] - https://github.com/icelemon1314/mapleLemon [Private Server-CMS-027] - https://github.com/ellermister/MapleStory [Private Server-CMS-079] - https://github.com/mrzhqiang/ms079 [Private Server-CMS-079] - https://github.com/unsafeblackcat/MapleStoryEx [Private Server-CMS-079] - https://github.com/gmh5225/maplestory-v83MaplestoryCPP [Private Server-GMS-083 C++] - https://github.com/Fraysa/Destiny [Private Server-GMS-083 C#] - https://github.com/Bratah123/ElectronMS [Private Server-KMS-316] - https://github.com/reanox/MapleStory-v113-Server-Eimulator [Private Server-TMS-113] - https://github.com/izarooni/MapleEzorsia [v83 edits for creating a custom resolution client] - https://github.com/Bratah123/BattleAnalysis176 [Battle Analysis] - https://github.com/johnsonjason/MapleStoryBuildFramework [AntiCheat] - https://github.com/Noosh404/Maplestory-V179-Cheat-Engine [V179 CT] - https://github.com/gmh5225/MapleStory-HeavenClient [Heaven Client] - https://github.com/Inndy/TWMS-Hacking-Data [TMS CT] - https://github.com/Inndy/MSDoggy [TMS Old Hack] - https://github.com/PrinceFroggy/MSB [GMS Old Hack 128-140] - https://github.com/PrinceFroggy/MSC [GMS Bot] - https://github.com/v3921358/Rebirth [Private Server-GMS-095 C#] - https://github.com/MapleStoryGameHack/mnwvs196 [Private Server-TMS-196] - https://github.com/Maxcloud/MapleResearch [GMS-095 Client Analysis] - https://github.com/neeerp/RustMS [Private Server-Rust] - https://github.com/Kagamia/WzComparerR2 [Maplestory online Extractor] - Generate machine learning object detection samples from Maplestory in different formats - https://github.com/Elem8100/MapleStory-GM-Client [Offline MapleStory Client Emulator] - https://github.com/gmh5225/maplestory-packer-ModPacker [MapleStory Wolrds .mod file packing/unpacking tools] - https://github.com/Riremito/JMSv186 [JMS v186] - https://github.com/ryantpayton/MapleStory-Client [HeavenMS Client] - https://github.com/ryantpayton/MapleStory-Server [HeavenMS Server] - https://github.com/YohananTzeviyah/LibreMaple-Client [LibreMaple Client] - https://github.com/speedyHKjournalist/MapleServerAndroid [GMS 083 server on Android] - https://github.com/Bratah123/ElectronMS [Private Server-KMS-316] Game:Minecraft - A minecraft server backend written in c++ Game:Sword With Sauce - https://github.com/1hAck-0/UE4-Cheat-Source-Code Game:Gunfire Reborn - https://github.com/shalzuth/AutoGunfireReborn Game:Fall Guys - https://github.com/shalzuth/FallGuysSharp - https://github.com/ioncodes/FallGuys - https://github.com/aci1337/Flying-Guys-fully-modified - https://github.com/FarmEquipment69/FlyingGuys Game:Remnant - https://github.com/shalzuth/RemnantESP Game:LostArk - https://github.com/shalzuth/LostArkDumper - https://github.com/shalzuth/LostArkLogger - https://github.com/realrespecter/LOST-ARK-SDK - https://github.com/cpz/Lost-Ark-SDK - https://github.com/cpz/LostArk Game:Battlerite - https://github.com/shalzuth/BattleriteBot Game:CrossFire - https://github.com/crvvdev/titancf - https://github.com/serjam/cfclap Game:TGame - https://github.com/3tnet/nzPerspective [D3D9] Game:LOL - https://github.com/LeagueSharp - https://github.com/SwipeDan/LeagueSharp - https://github.com/ensoulsharp-io - https://ferrisbot.com/ferrisaio - https://github.com/SwipeDan/EloBuddy-Addons - https://github.com/shalzuth/LeagueSharp - https://github.com/shalzuth/LoLClient - https://github.com/RyukOP/L-Assemblies - https://github.com/korllan/LeagueSharp.Loader - https://github.com/R3nzTheCodeGOD/R3nzSkin [Skin] - https://github.com/R3nzTheCodeGOD/R3nzSkinTFT [Skin] - https://github.com/B3akers/LeagueSkinChanger [Skin] - https://github.com/real-web-world/hh-lol-prophet - https://github.com/Nuxar1/DecryptionDumper [Dump] - https://github.com/tarekwiz/LeagueDumper [Dump] - https://github.com/tarekwiz/League-Unpacker [Dump] - https://github.com/0x6461726B/lol-offset-dumper [Dump] - https://github.com/LeaguePrank/LeagueTeamBoost - https://github.com/LeagueSandbox - https://github.com/MythicManiac/lol-unpackman - A bran-new League of Legends assistant software, a replacement for WeGame - https://github.com/orkido/LViewLoL [Python based scripting platform] - https://github.com/KebsCS/KBotExt [LCU] - https://github.com/botkalista/ayaya-league-external [Nodejs based scripting platform] - https://github.com/jfd02/TFT-OCR-BOT [TFT] - https://github.com/sooqua/VanderLeague [Hypervisor-assisted] - https://github.com/KebsCS/League-DirectX11-Internal [Internal] - https://github.com/sr-henry/league-base [External] Game:NARAKA - https://www.unknowncheats.me/forum/other-fps-games/490052-naraka-bladepoint-reversal-structs-offsets.html - https://github.com/xkp95175333/DummyDlls_NARAKA_1_9_21 [Dump] - https://github.com/Rythorndoran/Naraka-Hack Game:Thetan - https://github.com/xkp95175333/Thetan_ArenaSDK Game:Dota2 - https://github.com/ikhsanprasetyo/dota2dumped [Offset dumper] - https://github.com/skrixx68/Dota2-Overlay-2.0 - https://github.com/gmh5225/Dota2-Overlay-OffsetUpdater - https://github.com/interception-team/dota-cheat - https://github.com/LWSS/McDota [linux] - https://github.com/ExistedGit/Dota2Cheat Game:WOW - https://github.com/helloobaby/wow-IAT-fix - https://github.com/namreeb/dumpwow - https://github.com/adde88/WoWDumpFix - https://github.com/xakepru/x14.08-coverstory-blizzard - https://github.com/fail46/OHack [An open-source hack for World of Warcraft] - https://github.com/adde88/SkyEngine [Wow Lua Unlocker] - https://github.com/gmh5225/WOW-WowAutoFishing [Auto Fishing] Game:Warcraft III - https://github.com/stijnherfst/HiveWE [editor] Game:Half-Life 2 - https://github.com/codereversing/hl2aimbot - https://github.com/codereversing/hl2esp Game:CS1.6 - https://github.com/k4ne1337/hpp-hack - https://github.com/BloodSharp/CSHackCreator-2-Demo - https://github.com/oxiKKK/oxware - https://github.com/execnone/simple-cs-16-multihack - https://github.com/bit-paper/sakura - https://github.com/eversinc33/1.6_C2 [C2] Game:CSGO - https://github.com/csgohacks/master-guide [Guide] - https://github.com/Akandesh/blazedumper [Offset] - https://github.com/frk1/hazedumper [Offset] - https://github.com/KittenPopo/csgo-offsets [Offset] - https://github.com/ofDataa/offsets [Offset] - https://github.com/Akandesh/csgo_auto_dumper [Auto Dump] - https://github.com/dretax/GarHal_CSGO - https://github.com/danielkrupinski/Osiris - https://github.com/danielkrupinski/GOESP [Cross-platform] - https://github.com/danielkrupinski/Anubis - https://github.com/s3pt3mb3r/Dainsleif - https://github.com/lagcomp/csgo_sdk - https://github.com/felix-rs/csgo-sdk [SDK for Rust] - https://github.com/ekknod/csf_w [Win SDK] - https://github.com/ekknod/csf [Linux SDK] - https://github.com/Speedi13/ROP-COMPILER - https://github.com/AimTuxOfficial/AimTux [Linux] - https://github.com/seksea/gamesneeze [Linux] - https://github.com/otvv/csgo-linux-cheat-sdk [Linux] - https://github.com/EternityX/DEADCELL-CSGO - https://github.com/nbqofficial/kernel-csgo - https://github.com/HeathHowren/CSGO-Cheats - https://github.com/Kruziikrel1/CSGO-FindMDL [Model Changer] - https://github.com/ekknod/nv_v2 [Sound ESP] - https://github.com/DerGrosse-prog/Improved-CSGO_Simple - https://github.com/0TheSpy/SpyExternal1337hax [External] - https://github.com/0TheSpy/Seaside [Internal] - https://github.com/whereisr0da/Lumina-Cheat [Internal] - https://github.com/nbqofficial/norsefire [Driver + Mouse Emulation] - https://github.com/boltgolt/boltobserv [Radar] - https://github.com/worse-666/csgo_external_ahk_hack [External] - https://github.com/ch4ncellor/CSGO-P2C-Dumper [Dump] - https://github.com/Akatsyk/2k17-club - https://github.com/flowxrc/csgo-xenforo-loader - https://github.com/ALittlePatate/ezfrags - https://github.com/Neaxic/CSGO-MAIN-INTERNAL - https://github.com/W1lliam1337/digital-sdk - https://github.com/sneakyevilSK/CSGO_BacktrackPatch [Backtrack Patch] - https://github.com/NullTerminatorr/NullBase [External] - https://github.com/krxdev-kaan/AqHax-CSGO - https://github.com/slack69/csgo-dma-overlay [DMA] - https://github.com/rrpvm/csgo-external-cheat - https://github.com/petercunha/Pine [Neural Network] - https://github.com/Bartis1313/csgo - https://github.com/NullHooks/NullHooks [Internal] - https://github.com/Skarbo/CSGOCrosshair [Crosshair Generator] - https://github.com/ekknod/G37OBS [obs-studio plugin for csgo] - https://github.com/Sentient111/Csgo-Full-kernel [Running from kernelmode] - https://github.com/razixNew/CompiledProtection [Cheat Compiler] - https://github.com/ekknod/EC - https://github.com/soyware/heck_csgo_external [External] - https://github.com/martinjanas/Sensum [Internal] - https://github.com/cazzwastaken/kakhack [Internal] - https://github.com/binkynz/cstrike-hack - https://github.com/R4YVEN/raybot-zero [Kernel-mode] - https://github.com/gmh5225/CSGO-Loader [Loader] - https://github.com/gmh5225/CSGO-NIXWARE-CSGO [Nixware] - https://github.com/designer1337/csgo-cheat-base [Internal] - https://github.com/yourmnbbn/tiny-csgo-client [Tiny csgo client for connecting dedicated server] - https://github.com/click4dylan/CSGO_AnimationCode_Reversed [CSGO animation code] - https://github.com/spirthack/CSGOSimple [Internal] - https://github.com/ViddeBoiiii/CSGO-Ormbunke-x86 [Imgui Menu] - https://github.com/MavenCoding157/legit-csgo-cheat-menu [Menu] - https://github.com/skep1337/autismware [HvH] - https://github.com/emilyinure/solace-csgo [Internal] - https://github.com/bruhmoment21/csgo-sdk-improved [Internal] - https://github.com/IVBecy/cartmanv2 [Internal] - https://github.com/gmh5225/CSGO-aw-v5.1.13 [aw-v5.1.13] - https://github.com/ricencheese/csgo-bot - https://github.com/forceinline/csgo-external-esp [External] - https://github.com/VladislavAlpatov/avhook - https://github.com/si1kyyy/csgo_cheat_external [External] - https://github.com/latuh/nebulite-external [External] - https://github.com/lstrsrt/csgo_internal_base [Internal] - https://github.com/404Kurama/Astra [External] - https://github.com/gmh5225/CSGO-Alphen - https://github.com/Enzo0721/ExternalCheatV3 [External] - https://github.com/SteamDatabase/Protobufs/tree/master/csgo [Protobuf] - https://github.com/kyojig/csgo_kns [Internal] - https://github.com/M3351AN/saphire [Internal] - https://github.com/superyu1337/memcs [External] - https://github.com/rabbitfishy/sdk [SDK] - https://github.com/bloesway/csgo_sdk [SDK] - https://github.com/DeiVid-12/SmKernel-CSGO [Driver] Game:CS2 - https://github.com/danielkrupinski/Osiris - https://github.com/ro0ti/CS2-Offsets [Offset] - https://github.com/sezzyaep/CS2-OFFSETS [Offset] - https://github.com/Salvatore-Als/cs2-signature-list [Signature] - https://github.com/bruhmoment21/cs2-sdk [SDK] - https://github.com/Omn1z/Counter-Strike2-SDK [SDK] - https://github.com/0wk/cs2-sdk [SDK] - https://github.com/gmh5225/CS2-SDK-Source2Gen [SDK] - https://github.com/FrySimpl3/SDK_CS2 [SDK] - https://github.com/nikkacs/cs2_sdk [SDK] - https://github.com/NotOfficer/cs2-sdk [SDK] - https://github.com/a2x/cs2-dumper [Dump] - https://github.com/imnotdatguy/csgo2-cheat - https://github.com/papstuc/counterstrike2 - https://github.com/nezu-cc/BakaWare4 - https://github.com/gmh5225/cs2-fov-changer [FOV changer] - https://github.com/clauadv/cs2_webradar [Radar] - https://github.com/MoZiHao/CS2_DMA_Radar [DMA Radar] - https://github.com/MoZiHao/CS2_DMA_Extrnal [DMA External] - https://github.com/gmh5225/vscript_lua51 [VScript] - https://github.com/gmh5225/cs2_things [VScript] - https://github.com/IMXNOOBX/cs2-external-esp [External] - https://github.com/UnnamedZ03/CS2-external-base [External] - https://github.com/Tokyodidit/cs2External [External] - https://github.com/TKazer/CS2_External [External] - https://github.com/Valthrun/Valthrun [External] - https://github.com/Zckyy/CS2-External [External] - https://github.com/sFIsAnExpert/CS2-External-Cheat [External] - https://github.com/gmh5225/tim_apple [External] - https://github.com/kristofhracza/tim_apple [External] - https://github.com/gmh5225/CS2-Cheat [External] - https://github.com/Half-People/HPCS2 [External] - https://github.com/gmh5225/CS2-External-1 [External] - https://github.com/CowNowK/AimStarCS2 [External] - https://github.com/Fr0go1/Aeonix-Cs2 [External] - https://github.com/xvorost/CS-2-Glow [External] - https://github.com/yinleiCoder/cs2-cheat-cpp [External] - https://github.com/ByteCorum/DragonBurn [External] - https://github.com/KisSsArt/CS2-Cheat-Base [Internal] - https://github.com/redbg/CS2-Internal [Internal] - https://github.com/Elsie-Kgafela/CS2-Cheat-Base [Internal] - https://github.com/chaycee/CS2Internal [Internal] - https://github.com/Elsie-Kgafela/csgo2-cheat [Internal] - https://github.com/vortex1573/Aurora [Internal] Game:Assault Cube - https://github.com/gmh5225/external-esp-hack-assaultcube [GDI overlay] - https://github.com/SkarSys/AssaultCubeCheat - https://github.com/201580ag/AssaultCube_Cheat Game:Valorant - https://github.com/apekros/valorant_offsets [Offset] - https://github.com/10HEAD/ValorantOffsets [Offset] - https://github.com/ofDataa/offsets [Offset] - https://github.com/gmh5225/valorant-externals [Offset] - https://github.com/GLX-ILLUSION/valorant-offsets-autoupdater [Offset] - https://github.com/Chuan212/ValorantOffsets-China-version [Offset] - https://github.com/hadevn/Valorant-SDK-2024 [SDK] - https://github.com/skechtew/valorant-gui-imgui-remake [GUI] - https://github.com/reahly/valorant-internal - https://github.com/gmh5225/Zenti-Valorant-Cheat-Hack-Internal-Spoofer-Driver-Injector-Protector-Auth - https://github.com/gmh5225/Valorant-Hack-Esp-Aimbot-Driver-Injector-With-Spoofer-Temporary - https://github.com/xehn1337/valorant-dumper [Dump] - https://github.com/gmh5225/Valorant-Dumper-Tool [Dump] - https://github.com/lil-skies/val-exception-handler [ZwRaiseException Dump] - https://github.com/gmh5225/Valorant-Esp-Aimbot-Hack - https://github.com/frankelitoc/UE4-c- [External] - https://github.com/AryuInka/Valorant-Cheat-External [External] - https://github.com/gmh5225/Valorant-Cheat - Iterate And Decrypt FNamePool->Entries On Valorant - https://github.com/gmh5225/Valorant-External-1 - https://github.com/Chase1803/UCMiraka-ValorantExternal [NtUserGetPointerProprietaryId] - https://github.com/gmh5225/Valorant-CheatExternal - https://github.com/weedeej/ValorantCC [Crosshair Setting] - https://github.com/gmh5225/Internal-Valorant-Cheat - https://github.com/gmh5225/VALORANT-HACK-ESP-AIMBOT-SKINCHANGER - https://github.com/MauhTon/valorant-esp-hack-with-driver - https://github.com/MauhTon/Valorant-Aimbot-Bypass - https://github.com/zeroday-z/CyberAntLoader - https://github.com/gmh5225/Valorant.External - https://github.com/R7flex/valorant-internal-base [Internal] - https://github.com/gmh5225/VALORANT-HACK-ESP-AIMBOT-SKINCHANGER-SOURCE [Internal] - https://github.com/gmh5225/Valorant-External-Source [External] - https://github.com/gmh5225/Valorant-cheat-internal [Internal] - https://github.com/gmh5225/Valorant-Esp-Aimbot-Cheat-Hack [External] - https://github.com/94q/Valorant-Internal [Internal] - https://github.com/DX9Paster/Valorant-External-P2C-Leaked [External] - https://github.com/kali11211/valorant-internal-cheat [Internal] - https://github.com/234945/valo-driver [External] - https://github.com/kali11211/valorant-internal-cheat [Internal] - https://github.com/gmh5225/ValorantCheatExternal [External] Game:VEILED EXPERTS - https://github.com/EBalloon/VEILED-EXPERTS-SDK - https://github.com/LagradOst/ProjectD-Win64-Shipping - https://github.com/Da3kL3o/VeiledExpertsSDK - https://github.com/percpopper/VX-It [Decrypt] Game:COD1 - https://github.com/attilathedud/CoD_Hacks Game:COD7 - https://github.com/nice-sprite/COD7-Tools Game:COD Black Ops 2 - https://github.com/momo5502/t7-linker [100% accurate Black Ops 2 FastFile linker] Game:COD Black Ops 3 - https://github.com/gmh5225/COD-boiii [Reverse engineering and analysis] Game:COD Warzone - https://github.com/YMY1666527646/Call-of-Duty-Warzone-MW-HACK-ESP-AIMBOT - https://github.com/serjam/mwclap - https://github.com/NMan1/external-warzone-cheat - https://github.com/NMan1/warzone-internal - https://github.com/gmh5225/Call-Of-Duty-Warzone-Hack-Esp-Slient-Aimbot-Internal-Unlock-ALL - https://github.com/gmh5225/Call-Of-Duty-Vanguard-Hack-Esp-AImbot-Unlock-All - https://github.com/gmh5225/Warzone-internal-Cheat - https://github.com/SpiroHappy/Warzone-MW-Internal - https://github.com/gmh5225/-Modern-Warfare-Warzone-Cheat Game:CODM - https://github.com/Poko-Apps/CodMDumper [il2cpp dump] - https://github.com/gmh5225/CODM-ESP-Aimbot-Mod-Menu [ESP] Game:Battlefield 1 - https://github.com/Zakaria-Master/BF1-ESP-AND-AIMBOT - https://github.com/younasiqw/BattleField-1-Internal Game:Battlefield 4 - https://github.com/Zakaria-Master/BF4-Internal-overlay Game:Battlefield 2042 - https://github.com/Skengdo/battlefield-2042-internal-sdk Game:Apex Legends - https://github.com/dhanax26/Apex-Legends-Offset-Dumper [Offset] - https://github.com/ofDataa/offsets [Offset] - https://github.com/dword64/Apex-Legends-SDK-Remaster - https://github.com/hooksteroid/ApexD3D_External - https://github.com/NMan1/apex-legends-cheat - https://github.com/gmh5225/Apex-SIMPLE-AIMBOT-GLOW-APEX - https://github.com/TheCruZ/Direct-EFI-Apex-Cheat - https://github.com/Astronaut00/apex-external - https://github.com/YMY1666527646/Phoenix-Valorant-Cheat - https://github.com/CasualX/apexbot - https://github.com/TheCruZ/Apex_Legends_Driver_Cheat - https://github.com/Keyzp1337/Fortnite - https://github.com/Zurek0x/NuremX [AI] - https://github.com/hadevn/apex_full_cheat - https://github.com/gmh5225/Apex-ApexCheeseTest - https://github.com/RavenOfTime/Apex-Legends-Esp - https://github.com/gmh5225/Apex-ApexCheat - https://github.com/Zakaria-Master/Apex_ESP_Old_Project - https://github.com/cheatingwitdacode/apex-cheating - https://github.com/LWSS/Ape-ex-Abominations [QEMU] - https://github.com/Y33Tcoder/EzApexDMAAimbot [KVM] - https://github.com/gmh5225/Apex-CHEAT-FIXED - https://github.com/gmh5225/apex_legends_sdk - https://github.com/ekknod/apex_linux [linux] - https://github.com/XRadius/project-tanya [linux] - https://github.com/EquinoxAlpha/ayypex [linux] - https://github.com/KaylinOwO/Project-Branthium - https://github.com/gmh5225/Apex-Legends-External-Esp-Aimbot-Skinchanger - https://github.com/Neurosisccc/Apex-ItemGlow [Item glow] - https://github.com/BaconToaster/UC-Apex-Remastered - https://github.com/NekoRem/apex-external [External] - https://github.com/M1fisto/nullptr-apex-external [External] - https://github.com/3nolan5/R5Apex-UserMode [External] - https://github.com/NaiJii/Apex-Mizu-Base [Internal] Game:Fortnite - https://github.com/kem0x/FortKit [Dump] - https://github.com/ofDataa/offsets [Offset] - https://github.com/Trydos/fortnite-offsets [Offset] - https://github.com/masterpastaa/AutoOffsets [Offset] - https://github.com/Zetolac/FortniteOffsetsAndSigs [Offset] - https://github.com/Android1337/Fortnite-Offsets [Offset] - https://github.com/Luksiuss/FortniteSigsUpdatedEveryUpdate [Offset] - https://github.com/gmh5225/Fortnite-SigsUpdatedEveryUpdate [Offset] - https://github.com/gmh5225/fortnite-W2S-offset-Fortnite [Offset] - https://github.com/plu1337/fortnite-offsets [Offset] - https://github.com/gmh5225/Fortnite-Offset-dumper [Offset & Dump] - https://github.com/plu1337/fortnite-virtual-offsets [Virtual Table Offsets] - https://github.com/plu1337/fortnite-sigs [Signature] - https://github.com/F0NDO/fortnite-sigs [Signature] - https://github.com/plu1337/fortnite-exploits [Exploits] - https://github.com/ReallReaper/Fortnite-Offsets-Sigs-and-more [Offset] - https://github.com/Makk5/FortConsole - https://github.com/gmh5225/Fortnite-Leak5 - https://github.com/Zetolac/FortniteExternalW2S - https://github.com/gmh5225/Fortnite-Internal-Cheat-Fixed-and-Updated - https://github.com/gmh5225/Fortnite-EFI-External [EFI] - https://github.com/gmh5225/Fortnite-External-Cheat-WinSense-Leak - https://github.com/jooola00/fortnite-cheat-source-internal - https://github.com/YMY1666527646/Fortnite-Hack-Esp-Exploits-With-Menu - https://github.com/YMY1666527646/nigusFN - https://github.com/Sheeedsh78/Cheto-Fortnite-Source-External-EAC-BE-undetected - https://github.com/CheaterRehab/GodFather-Fortnite-Cheat-Cracked - https://github.com/Keyzp1337/Fortnite - https://github.com/vk-nom/Basic-Fortnite-Cheat-Source-Internal - https://github.com/PasterWolf/Fortnite-UD-External - https://github.com/gmh5225/Fortnite-Esp-Aimbot-Exploits-Hwid-Spoofer-Cleaner-Hack-Cheat - https://github.com/Waihbe/Fortnite-Cheat-LEAK - https://github.com/zinx-YT/Fortnite-Fltokens-and-offsets - https://github.com/gmh5225/VOLTO-EXTERNAL-SPOWAR-UD-EAC-BE-FORTNITE-EXTERNAL-CHEAT - https://github.com/gmh5225/Serenity.gg-FN-and-Loader - https://github.com/Waihbe/Fortnite-External-Cheat-Leak - https://github.com/AlfredIU/Spoofer [HWID] - https://github.com/pastor-ritz/ritz-amazing-fortnite-internal - https://github.com/plu1337/Fortnite-Masterpasta-ihack-Source-Leak - https://github.com/gmh5225/Fortnite-Evo.cc-Source-External-Cheat - https://github.com/KeyzpOnTheFluxxx/Fortnite-External - https://github.com/gmh5225/Apple-Lite-Fortnite-Cheat - https://github.com/gmh5225/Fortnite-External-Cheat-Source-Code - https://github.com/0dayatday0/BattleFN-cheat-analysis - https://github.com/gmh5225/fortnite-internal-updated-ritz [Internal] - https://github.com/JeanToBinks/Fortnite-Cheato-UD-EAC-BE - https://github.com/gmh5225/BE-Forcer-Fortnite [BE forcer for fortnite] - https://github.com/DX9Paster/Fortnite-External [External] - https://github.com/percpopper/Fortnite-CameraCachePOV - https://github.com/percpopper/Fortnite-FNameEntry - https://github.com/ritz-1337/fortnite-external-evo.gj [External] - https://github.com/simply-codes/Fortnite-External-P2C [External] - https://github.com/Zetolac/FortniteExternalExploits [External Exploits] - https://github.com/xetzzy/Fortnite-External-Source [External] - https://github.com/gmh5225/fortnite-triadz [External] - https://github.com/gmh5225/Fortnite-External-5 [External] - https://github.com/DontCry361x/ritz-amazing-fortnite-internal-updated [internal] - https://github.com/NurdAlert/flirtnite [External] - https://github.com/JetBrains-CLion/Fortnite-3.5 [Internal] - https://github.com/gmh5225/ZeroGui-Fortnite-Internal [Internal] - https://github.com/gmh5225/Fortnite-VoyagerTF [Voyager] - https://github.com/gmh5225/Fortnite-External-4 [External] Game:Bloodhunt - https://github.com/ZZZ-Monster/bloodhunt_External - https://github.com/PhysX1337/BloodHunt-v1.1 - https://github.com/gmh5225/blood-hunt Game:Super People - https://github.com/EBalloon/Super-People-sdk - https://github.com/gmh5225/Super-People-Esp-Aimbot-Magic-Hack - https://github.com/gmh5225/superpeople-client Game:Splitgate - https://github.com/percpopper/Splitgate-Internal Game:PUBG - https://github.com/owdata1/pubg-dumper [Dump] - https://github.com/orange088/pubg_dump_offset [Offset] - https://github.com/Skengdoo/pubg-external-cheat - https://github.com/ajkhoury/pubg_internal - https://github.com/iCollin/pubg-internal - https://github.com/K-cazb/pubg-public - https://github.com/gmh5225/PlayerUnknown-s-Battlegrounds-Pubg-Steam-Hack-Esp-Aimbot - https://github.com/dot1991/lilypublic - https://github.com/kurt2467/PUBG_Internal - https://github.com/gmh5225/PUBG-DX - https://github.com/gmh5225/PUBGSTAR Game:PUBG Lite - https://github.com/Zakaria-Master/Pubg-Lite-ESP Game:PUBGM - https://github.com/Zakaria-Master/pubgm_sdk_and_offsets [Offset] - https://github.com/atulkunal999/pubg_mobile_memory_hacking - https://github.com/Mood-Coding/pubgm_shitty_source - https://github.com/gmh5225/PUBGM-PUBGPatcher - https://github.com/Zakaria-Master/PUBGM1.6-DeadGame - https://github.com/mut1234/BYPASS-PUBG-MOBILE-IMGUI - https://github.com/busmanl30/LastIslandOfSurvival-iOSCheat-Source - https://github.com/halloweeks/pubg-mobile-pak-extract [pak extracting tool] - https://github.com/gmh5225/pubg_mobile_memory_hacking_examples - https://github.com/Super-Cssdiv/ChinaPubg - https://github.com/wantao1008hh/pubg Game:Sausage Man - https://github.com/gmh5225/AndroidCheatTemplate Game:The finals - https://github.com/gmh5225/the-finals-interior-cheat Game:EFT - https://github.com/patrickcjk/TOG [Offsets Generator] - https://github.com/fcancelog/EftStreamedCheat - https://github.com/Nou4r/pKernelInterface-EFT - https://github.com/sailro/EscapeFromTarkov-Trainer - https://github.com/vmwrite/tiny_eft - https://github.com/CplNathan/Nathans-Tarkov-Radar-Public [Vmread + Radar] - https://github.com/frankie-11/eft-external - https://github.com/Splitx12/eft - https://github.com/gmh5225/eft-internal - https://github.com/gmh5225/EFT-Veil-EFT - https://github.com/Qemu-Gang/Escape-from-TuxKov [QEMU] - https://github.com/gmh5225/Comm-ImMiraclela - https://github.com/krispybyte/Simple-EFT-Base - https://github.com/bytemyass/EFTLeecher [DMA] - https://github.com/gmh5225/eft-dma-radar-1 [DMA Radar] - https://github.com/gmh5225/EFT-MonoEFT - https://github.com/ZhaoKunqi/simple-eft-superman-training-bot - https://github.com/gmh5225/EFT-NewTarkovCheatProject Game:Arena Breakout Infinite - https://github.com/cra0/UE426_ABInfinite-Win64-Shipping [SDK] - https://github.com/Ke4ton/hardware_bypass [GPU check bypass] Game:R6 - https://github.com/NMan1/Rainbow-Six-Cheat - https://github.com/NMan1/OverflowR6V2 - https://github.com/NMan1/Internal-Rainbow-Six-Cheat-V3 - https://github.com/beans42/epic-r6-v9 - https://github.com/Kix48/R6Updater - https://github.com/hooksteroid/R6Table_Internal - https://github.com/JGonz1337/r6-internal - https://github.com/SurgeGotTappedAgain/External-R6S-Cheat - https://github.com/vctr74/R6-Internal-V3 - https://github.com/gmh5225/R6S-internal-Cheat - https://github.com/gmh5225/Rainbow-Six-Siege-Rs6-External-Esp-Aimbot-Hack-Cheat - https://github.com/gmh5225/Rainbow-6-Siege-Cheat - https://github.com/rushzzz-max/r6-external [External] - https://github.com/ArtemisDevGroup/Artemis [Internal] - https://github.com/MuffinPanda/R6-Cheat-Dumper [External] - https://github.com/Possbl/R6S-External-V2 [External] - https://github.com/igromanru/R6-Chams-public [Chams] Game:Overwatch - https://github.com/blackhades00/PareidoliaTriggerbot [Triggerbot] - https://github.com/OSNSON/Overwatch-1-cheat-source-. - https://github.com/vmmcall/overwatch-iat-fixer [Overwatch IAT Fixer] - https://github.com/Midi12/ow_unpack - https://github.com/gmh5225/OW-Aeternum - https://github.com/dword64/Ow-FOV [FOV] Game:Overwatch2 - https://github.com/gmh5225/Overwatch2-colorbot-Cheats - https://github.com/gmh5225/Overwatch-2-Cheat-Aimbot-Esp - https://github.com/nismo1337/meowsense - https://github.com/gmh5225/Ow-Outlines [Shows Players through walls] - https://github.com/ZEROWyt/Overwatch-2-TOPE-EXTERNAL-CHEAT - https://github.com/gmh5225/OW2-wardenrekter [Emulate OW2 AC] Game:Paladins - https://github.com/gmh5225/Paladins-Internal-Esp-Aimbot-Hack-Cheat-Hack - https://github.com/gmh5225/Paladins-internal-Cheat Game:DayZ - https://github.com/zhitkur/DayZzz - https://github.com/SurgeGotTappedAgain/External-Dayz-Cheat - https://github.com/gmh5225/DayZ-Cheat - https://github.com/JonathanEke/DayZ-Server-Battleye-Remover [Disable battleye] Game:Rust - https://github.com/Akandesh/rust-auto-dumper [Auto Dump] - https://github.com/LabGuy94/OxideDumper [Auto Dump] - https://github.com/NMan1/OverflowRust - https://github.com/gmh5225/simple-rust-hack - https://github.com/Facepunch-bot/rust-internal - https://github.com/Facepunch-bot/Rust-External - https://github.com/Facepunch-bot/Rico-Cheat-rust-external - https://github.com/spyder1g/a-pasted-rust-script - https://github.com/LordAbbot/Rust-External-Cheat - https://github.com/ZentifyZ/Kors_lol [Internal] - https://github.com/gmh5225/Rust-Internal [Internal] - https://github.com/ZentifyZ/CRC32 - https://github.com/SteepCheat/Rust-Cheat-External - https://github.com/krispybyte/Simple-Rust-Base - https://github.com/vmwrite/sapphire - https://github.com/Disline1337/Rust-Cheat-External-main - https://github.com/gmh5225/Rust-RustInternal [Internal] - https://github.com/gmh5225/rust-external-1 [External] - https://github.com/gmh5225/Rust-External [External] - https://github.com/gmh5225/Rust-ExternaL-and-Driver-AlienCheats [External] - https://github.com/Rogue619Z/Rust-External-Source [External] - https://github.com/gmh5225/immortal-rust Game:Arma3 - https://github.com/Skengdo/arma3-external-variable-manager - https://github.com/R3voA3/3den-Enhanced [Mod Editor] - https://github.com/tym32167/arma3beclient [BattlEye Tool] Game:7 Days To Die - https://github.com/IntelSDM/7DTD Game:AVA - https://github.com/boylin0/AVA-Hack Game:Mordhau - https://github.com/Skengdo/mordhau-simple-auto-block-cheat Game:Smite [UE3] - https://github.com/JackBro/SmiteESPAimbot Game:POLYGON [UE5] - https://github.com/gmh5225/POLYGON_UE5 Game:PalWorld [UE5] - https://www.unknowncheats.me/forum/other-fps-games/620076-palworld-reversal-structs-offsets.html - https://github.com/gmh5225/Palworld-SDK-Dump - https://github.com/gmh5225/Palworld-Server-Modding - https://github.com/gmh5225/PalWorld-ServerInjector - https://github.com/gmh5225/PalWorld-NetCrack - https://github.com/luciouskami/palworld_rcon [Server on Windows] - https://github.com/luciouskami/palworld_rcon [Server on Windows] - https://github.com/A1RM4X/HowTo-Palworld [Server on Linux] - https://github.com/jammsen/docker-palworld-dedicated-server [Server based on Linux and Docker] - https://github.com/VeroFess/PalWorld-Server-Unoffical-Fix [Server patch] - https://github.com/NattKh/PalWorld-Tools [Mod Patcher] - https://github.com/localcc/PalworldModdingKit [A modding kit for Palworld] - https://github.com/weizhking/PalworldSaved [Save] - https://github.com/cheahjs/palworld-save-tools [Save] - https://github.com/EternalWraith/PalEdit Save] - https://github.com/DysonCheng/PalWorldSettingGenerator [Setting Generator] - https://github.com/hualuoo/palworld-helper [Helper] - https://github.com/shalzuth/PalWorldAntiCheat [Anti Cheat] - https://github.com/g91/PalAntiCheat-poc [Anti Cheat] Game:Genshin Impact - https://github.com/khang06/mhynot2 - https://github.com/khang06/genshinjumpfixer2 [Decode CFG] - https://github.com/khang06/misc/tree/master/reversing/genshin [Decode CFG] - https://github.com/DNLINYJ/Anti_miHoYo_Jcc_Obfuscate [Decode CFG By X64DBG] - https://github.com/gmh5225/genshin-cheat - https://github.com/Grasscutters/Grasscutter [Private Server] - https://github.com/gmh5225/Genshin-Akebi-GC [Cheat] - https://github.com/gmh5225/Akebi-Cheat-3.3 [Cheat] - https://github.com/gmh5225/Genshin-GenshinData [Game Data] - https://github.com/HolographicHat/YaeAchievement - https://github.com/phonowell/genshin-impact-script [A sweet genshin impact script] - https://github.com/KnsGoyoLV/GenshinImpact-Base - https://github.com/360NENZ/Taiga74164-Akebi-GC - https://github.com/Ev3nt/EasyPeasy-GC - https://github.com/xTaiwanPingLord/GenshinDebuggerBypass - https://github.com/gmh5225/Genshin-EasyPeasy-Bypass [Anti-Debug Bypass] - https://github.com/ELJoOker2004/genshin-remove-banner - https://github.com/Micah123321/AutoOpenCAK [Bypass tool] - https://github.com/KillSKID/Genshin-Cheetos [Menu] Game:Honkai Impact - https://github.com/BuIlDaLiBlE/BetterHI3Launcher - https://github.com/Z4ee/HI3-ACE-B Game:Honkai Star Rail - https://github.com/Z4ee/StarRail-S-GC - https://github.com/Z4ee/StarRail-ACE-B - https://github.com/aderfa/star_rail - https://github.com/gmh5225/Pom-Pom - https://github.com/LmeSzinc/StarRailCopilot [Script] - https://github.com/CHNZYX/Auto_Simulated_Universe [Script] Game:osu - https://github.com/fs-c/maniac [External] - https://github.com/Ciremun/freedom [difficulty changer & bot] - https://github.com/gmh5225/osu-aac [ANTI ANTI CHEAT] Game:EldenRing - https://github.com/techiew/EldenRingMods [Mod] - https://github.com/v-maxson/EldenRingLauncher [Launcher] - https://github.com/Nordgaren/Elden-Ring-Debug-Tool [Debug tool for Elden Ring modding] Game:Dark Souls - https://github.com/igromanru/Dark-Souls-III-Cheat-Engine-Guide Game:Sea Of Thieves - https://github.com/ToxSylph/SeaOfChoros Game:GTA III - Definitive Edition - https://github.com/gmh5225/GTAIII-DE-GoldHook Game:GTA5 - https://github.com/P0L3NARUBA/gtav-sourcecode-build-guide [GTA V Source Code Build Tutorial] - https://github.com/gmh5225/GTA-5-SIGS-1.59 [Offset] - About Adds drag- to- resize functionality to the main GTA V window - Open-source cheat software for Grand Theft Auto V (PC) - https://github.com/Pocakking/BigBaseV2 - https://github.com/YimMenu/YimMenu - https://github.com/Seanghost117/SpookiMystic-GTA-Leak [Menu] - https://github.com/Rimmuru/gta-source - https://github.com/SyDevTeam/gta5view [Viewer/Editor] - https://github.com/skarockoi/pHake [Mod Menu] - https://github.com/CamxxCore/ExtendedCameraSettings [Extending functionality of the gameplay camera] - https://github.com/medusi/gta5cheat - https://github.com/ssyatelandisi/gta5cheat_qt Game:Geometry Dash - https://github.com/reservedcloud/gd-internal Game:8ball pool - https://github.com/gmh5225/Alaa-8ball-pool-source-exposed Game:Wizard101 - https://github.com/AmJayden/wizard101-spoofer [HWID] Game:QQTang - https://github.com/blackmaple/QQTangCheatEngine Game:Chess - https://github.com/LeelaChessZero/lc0 [Chess Engine] - https://github.com/official-stockfish/Stockfish [Chess Engine] Game:BLOCKPOST - https://github.com/xo1337/BLOCKPOST-Cheat Game:Witch It - https://github.com/guttir14/CheatIt Game:RO - https://github.com/rAthenaCN/rAthenaCN Game:PokemonGo - https://github.com/Jumboperson/PokemonGoDumper Game:L4D2 - https://github.com/Fox-Cult/L4D2-Cheat [Linux] - https://github.com/Axactt/L4D2Basic Game:mhxy - https://github.com/gmh5225/mhxy_kernel - https://github.com/gmh5225/mhxy Game:Ironsight - https://github.com/oluan/Lazysight Game:Devour - https://github.com/ALittlePatate/DevourClient - https://github.com/BitCrackers/DevourMenu [Menu] Game:Goose Goose Duck - https://github.com/Liuhaixv/Goose_Goose_Duck_Hack Game:Team Fortress 2 - https://github.com/gmh5225/teamfortress2_internal - https://github.com/BlueSnoopT/Cunthook [linux] - https://github.com/Fedoraware/Fedoraware Anti Cheat Guide - https://technology.riotgames.com/news/riots-approach-anti-cheat - https://github.com/87andrewh/WeirdAntiCheatIdeas - https://github.com/gmh5225/AntiCheat-chrysalis - https://www.unknowncheats.me/forum/anti-cheat-bypass/481731-tutorial-ring3-anticheat-project.html - https://github.com/dhondta/awesome-executable-packing [Executable File Packing] - https://anti-debug.checkpoint.com [Anti Debug] - https://github.com/DenuvoSoftwareSolutions/DVRT [DVRT] - https://areweanticheatyet.com [A list of games using anti-cheats] - https://github.com/MyHwu9508/alt-V-Anticheat-Guide [GTA5 MP servers] - https://github.com/frank2/packer-tutorial [Packer] - https://github.com/kid-gorgeous/ghostbusters [Senior Design: Anit-Cheat Detection system] Stress Testing - https://github.com/niemand-sec/AntiCheat-Testing-Framework [Testing Framework] - https://github.com/gmh5225/MemWars [Testing Framework] - https://github.com/ekknod/EC [Testing Framework] - https://github.com/stuxnet147/Known-Driver-Mappers [Known Driver Mappers] - https://github.com/DanielRTeixeira/injectAllTheThings [Injection Testing] - https://github.com/MahmoudZohdy/Process-Injection-Techniques [Injection Testing] - https://github.com/zoand/Injectors [Injection Testing] - https://github.com/guided-hacking/GuidedHacking-Injector [Injection Testing] - https://github.com/gmh5225/rust-dll-crab [Injection Testing] - https://github.com/odzhan/injection [Injection Testing] - https://github.com/w1u0u1/kinject [Injection Testing] - https://github.com/D4stiny/ThreadJect [Injection Testing] - https://github.com/KooroshRZ/Windows-DLL-Injector [Injection Testing] - https://github.com/Fahersto/code_injection [Injection Testing] - https://github.com/deepinstinct/Dirty-Vanity [Injection Testing:RtlCreateProcessReflection] - https://github.com/NullTerminatorr/ThreadHijackingInjector [Injection Testing] - https://github.com/Skengdo/simple-SetWindowsHookExW-injector [Injection Testing:SetWindowsHookExW] - https://github.com/gmh5225/SetWindowsHookEx-Injector [Injection Testing:SetWindowsHookExW] - https://github.com/FULLSHADE/Jektor [Injection/Shellcode Testing] - https://github.com/KANKOSHEV/face-injector-v2 [Injection/ Testing] - https://github.com/notscimmy/libelevate [Elevating Handle] - https://github.com/ZoondEngine/NoBastian_v2 [Elevating Handle By LSASS] - https://github.com/Ricardonacif/launcher-abuser [Elevating Handle] - https://github.com/ContionMig/LSASS-Usermode-Bypass [Elevating Handle By LSASS] - https://github.com/gmh5225/LSASS-DumpThatLSASS [Elevating Handle By LSASS] - https://github.com/kkent030315/Van1338 [Elevating Handle By Timing Attack] - https://github.com/gmh5225/Handle-Ripper [DuplicateHandle] - https://github.com/Kudaes/Dumpy [Reuse opened handles By LSASS] - https://github.com/zorftw/lsass-extend-mapper [Manual mapper from LSASS] - https://github.com/Mattiwatti/EfiGuard [PG Testing] - https://github.com/9176324/Shark [PG Testing] - https://github.com/gmh5225/HideDriverTesting [Hide Driver Testing] - https://github.com/nbqofficial/HideDriver [Hide Driver Testing] - https://github.com/ExpLife0011/HideDriver [Hide Driver Testing] - https://github.com/BadPlayer555/TraceCleaner [Hide Driver Testing] - https://github.com/muturikaranja/disable-threat-tracing [ETW Testing] - https://github.com/Mr-Un1k0d3r/AMSI-ETW-Patch [ETW Testing] - EDRSandblast/KernellandBypass/ETWThreatIntel.c [ETW Testing] - https://github.com/daswareinfach/Battleye-VAC-EAC-Kernel-Bypass [FsFilter Testing] - https://github.com/aahmad097/MMFCodeInjection [User APC + File Mapping Testing] - https://github.com/liors619/TtdAntiDebugging [Debug Testing] - https://github.com/gmh5225/cheat-attack-thread-slemu [Hearbeat Testing] - https://github.com/nkga/cheat-driver [MmCopyVirtualMemory Testing] - https://github.com/zxd1994/vt-debuuger [Hacked Hypervisor Testing] - https://github.com/3526779568/vt-debuger [Hacked Hypervisor Testing] - https://github.com/MellowNight/AetherVisor [Hacked Hypervisor Testing AMD] - https://github.com/rbmm/LockFile-Poc [Lock File] - https://github.com/gmh5225/UltraDriver-Game-Cheat [Cheat Driver] - https://github.com/gmh5225/Kernel-Special-APC-ReadProcessMemory [RPM] Driver Unit Test Framework - https://github.com/wpdk/wdutf Anti Debugging - https://github.com/LordNoteworthy/al-khaser - https://github.com/hfiref0x/WubbabooMark - https://github.com/samshine/ScyllaHideDetector2 - https://github.com/revsic/AntiDebugging - https://github.com/Ahora57/MAJESTY-technologies - https://github.com/AdvDebug/AntiCrack-DotNet [CSharp] - https://github.com/weak1337/CEDetector [CE] - https://github.com/gmh5225/Detection-CheatEngine [CE] - https://github.com/gmh5225/AntiDbg-AmogusPlugin - https://gtoad.github.io/2017/06/25/Android-Anti-Debug [Android] - https://github.com/polaryy/AntiDebugandMemoryDump [Android] - https://github.com/fiord/ADB-Debug-Detect-Checker [Android] - Sample anti-debug with detect ScyllaHide/HyperHide and TitanHide - Linux anti-debugging techniques - https://github.com/HackOvert/AntiDBG - https://github.com/BarakAharoni/LADD [Linux] - https://github.com/0xor0ne/debugoff [Linux] - https://github.com/gmh5225/AntiKernelDebug-POC [Windows Kernel] - https://github.com/BaumFX/cpp-anti-debug - https://github.com/Metick/Anti-Debug - https://github.com/Ahora57/RaceCondition - https://github.com/AdvDebug/AntiCrack-DotNet [DotNet] - https://github.com/hotline1337/umium [C++/CLI] - https://github.com/YouNeverKnow00/Anti-Debugger-Protector-Loader - https://github.com/CheckPointSW/showstopper - https://github.com/secrary/makin [Reveal anti-debugging and anti-VM tricks] Page Protection - https://github.com/changeofpace/Self-Remapping-Code - https://github.com/ReFo0/anti-crack-system - https://docs.microsoft.com/en-us/windows/win32/api/winbase/nf-winbase-addsecurememorycachecallback - https://github.com/weak1337/NO_ACCESS_Protection - https://github.com/noff2k/no-access-protection-x86 - https://github.com/hotline1337/page_no_access - https://github.com/thefLink/DeepSleep - https://github.com/janoglezcampos/DeathSleep - https://github.com/gmh5225/Sleep-obf-T.D.P. - https://github.com/mgeeky/ShellcodeFluctuation - https://github.com/Gofrettin/veh-printf-hook [PAGE_GUARD] - https://github.com/charliewolfe/PointerGuard [PAGE_GUARD] - https://github.com/connormcgarr/EATGuard [PAGE_GUARD] - https://github.com/ilovecsad/veh_hide_memory [PAGE_NOACCESS] - https://github.com/gmh5225/PAGE_NO_ACCESS-not-byfron [PAGE_NOACCESS] Binary Packer - https://github.com/dhondta/awesome-executable-packing - https://github.com/phra/PEzor - https://github.com/czs108/PE-Packer [X86] - https://github.com/longqun/Packer [X86] - https://github.com/ATsahikian/pe-protector [X86] - https://github.com/mkaring/ConfuserEx [.NET] - https://github.com/iArtorias/debug_remover [Strip Debug Info] - https://github.com/ytk2128/pe32-password - https://github.com/frkngksl/Huan - https://github.com/frkngksl/HintInject [Hint/Name Table] - https://github.com/ClaudiuGeorgiu/Obfuscapk [Android] - https://github.com/magnussen7/Embuche [ELF] - https://github.com/EgeBalci/amber - https://github.com/SamLarenN/PePacker - https://github.com/Systemcluster/wrappe [Rust] - https://github.com/vsteffen/woody_woodpacker [ELF] - https://github.com/n4sm/m0dern_p4cker [ELF] - https://github.com/JonDoNym/peinjector - https://github.com/craids/AresFramework - https://github.com/andrew9382/exe_packer - https://github.com/dr4k0nia/Origami [Compressing .net assemblies] - https://github.com/mix64/ELFpacker [ELF] - https://github.com/jnastarot/shibari [Linking multiple PE\PE + files to one] - Simple ELF runtime packer for creating stealthy droppers - A simple packer working with all PE files which cipher your exe with a XOR implementation - https://github.com/r0ngwe1/petoy [PE] - An ELF / PE packer written in pure C - https://github.com/droberson/ELFcrypt [ELF RC4] - https://github.com/timhsutw/elfuck [ELF] - https://github.com/Eronana/packer [PE] - https://github.com/akuafif/hXOR-Packer [PE XOR] - https://github.com/arisada/midgetpack [ELF] - https://github.com/friedkiwi/netcrypt [.NET] - https://github.com/89luca89/pakkero [ELF] - https://github.com/dimkr/papaw [LZMA] - https://github.com/akawashiro/sloader [ELF loader which aims to replace ld-linux.so of glibc] - https://github.com/MahmoudZohdy/IAT-Obfuscation [IAT Obfuscation] - https://github.com/gmh5225/shellcode-EntropyFix [Reducing entropy] - https://github.com/ORCx41/AtomPePacker [PE X64] - https://github.com/Lima-X/Win32.Nebula [PE X64] - https://github.com/TheAenema/hm-pe-packer [PE X64] - https://github.com/hid3rx/PEPacker [PE X64] - https://github.com/xsj3n/x64-EXE-Packer [PE X64] - https://github.com/frkngksl/Shoggoth [Polymorphic Encryptor] - https://github.com/GunshipPenguin/kiteshield [ELF X64] - https://github.com/cff0x/KitsuPE [PE] - https://github.com/KooroshRZ/Evader [PE] - https://github.com/greyb1t/GreyM [PE] - https://github.com/DavidBuchanan314/stelf-loader [ELF X64 loader] - https://github.com/frank2/oxide [Written by Rust] - https://github.com/Washi1337/AwaitFuscator [.NET] CLR Protection - https://github.com/endgameinc/ClrGuard Anti Disassembly - https://github.com/rrbranco/blackhat2012 Sample Unpacker - https://github.com/hasherezade/mal_unpack_drv - https://github.com/strazzere/android-unpacker [Android] Dump Fix - https://github.com/t3ssellate/unmapper - https://github.com/d35ha/DumpPE - https://github.com/pr701/fix-arxan Encrypt Variable - https://github.com/serge-14/encrypted_value [C++] - https://github.com/momalab/e3 [C++] - https://github.com/obama-gaming/xor-float [C++] - https://github.com/emlinhax/xv [C++] Lazy Importer - https://github.com/JustasMasiulis/lazy_importer - https://github.com/hypervisor/kli - https://github.com/gmh5225/kli-ex - https://github.com/1hAck-0/zeroimport - https://github.com/emlinhax/blitz Obfuscation Engine - https://github.com/vi3t1/vmprotect-3.5.1 - https://github.com/mike1k/perses - https://github.com/weak1337/Alcatraz - https://github.com/FigmaFan/Alcatraz - https://github.com/es3n1n/obfuscator - https://github.com/jnastarot/furikuri - https://github.com/nickcano/RelocBonus [Attack Reloc] - https://github.com/maoabc/nmmp [Dex] - https://github.com/CodingGay/BlackObfuscator [Dex] - https://github.com/d35ha/CallObfuscator [Call Obfuscation] - https://github.com/nelfo/Milfuscator - https://github.com/romainthomas/the-poor-mans-obfuscator [elf/macho] - https://github.com/Guardsquare/proguard [Java] - https://github.com/xiaoweime/WProtect - https://github.com/DeDf/WProtect - https://github.com/jokerNi/WProtectSDK - https://github.com/cxxrev0to1dev/nb_obfuscator - https://github.com/gmh5225/cerberus [VM] - https://github.com/layerfsd/phantasm-x86-virtualizer [VM] - https://github.com/felix-rs/guardian-rs [VM] - https://github.com/CalebFenton/simplify [Java] - https://github.com/open-obfuscator/dProtect [Java/Kotlin] - https://github.com/Maldev-Academy/EntropyReducer [Reduce Entropy] - https://github.com/Washi1337/AwaitFuscator [.NET] Screenshot - https://github.com/bavulapati/DXGICaptureApplication [Capture Desktop] - https://github.com/Rick-laboratory/Windows-Screenshotcapture-DirectX/blob/master/main.cpp [DX9] - https://github.com/lainswork/dwm-screen-shot [DWM] - https://github.com/kirides/screencapture [DX11] - https://github.com/bmharper/WindowsDesktopDuplicationSample [DXGI] - https://github.com/PierreCiholas/GetPixel-vs-BitBlt_GetDIBits [GetPixel] - https://github.com/gmh5225/ScreenShot [BitBlt] Game Engine Protection:Unreal - https://github.com/zompi2/Static-Variables-Obfuscator-UE4 - https://github.com/gmh5225/UE-Plugin-SCUE4-Plugin - https://github.com/gmh5225/UnrealEngine-Protection Game Engine Protection:Unity - https://github.com/ls9512/USecurity - https://github.com/bmjoy/Unity3D_Obfuscator - https://github.com/Ether2023/Ether-Uprotector Game Engine Protection:Source - Source Engine serverside anti-cheat plugin. (CS:S, CS:GO, CS:P, TF2) Open Source Anti Cheat System - https://github.com/mq1n/NoMercy - https://github.com/NoMercy-ac [NoMercy] - https://github.com/JackBro/BetaShield - https://github.com/chztbby/RebirthGuard - https://github.com/GravitLauncher/Avanguard - https://github.com/Rycooop/Bloom-Anticheat - https://github.com/Vasieco/Kernel-Anticheat [Kernel Anticheat] - https://github.com/AvivShabtay/Stresser [Anti Virus in fact but also Anti Cheat] - https://github.com/gmh5225/antivirus [Anti Virus in fact but also Anti Cheat] - https://github.com/D4stiny/PeaceMaker [Anti Virus in fact but also Anti Cheat] - https://github.com/danielkrupinski/VAC [Reversed VAC] - https://github.com/ApexLegendsUC/anti-cheat-emulator - https://github.com/ch4ncellor/EAC-Reversal [Reversed EAC] - https://github.com/weak1337/BE-Shellcode [Reversed BE Shellcode] - https://github.com/SamuelTulach/be_shellcode_dump [Reversed BE Shellcode] - https://github.com/codetronik/AndroidAntiCheat [Android Platform] - https://github.com/Lazenca/Lazenca-S [Android Platform] - https://github.com/MrDiamond64/Scythe-AntiCheat [Minecraft] - https://github.com/GrimAnticheat/Grim [Minecraft] - https://github.com/mateusreb/AntiCheat - https://github.com/ComodoSecurity/openedr [EDR] - https://github.com/0xrawsec/whids [EDR] - https://github.com/Neo23x0/Raccine [EDR] - https://github.com/ION28/BLUESPAWN [EDR] - https://github.com/AlSch092/UltimateAntiCheat - https://github.com/JonathanBerkeley/Quack - Source Engine serverside anti-cheat plugin. (CS:S, CS:GO, CS:P, TF2) - This is the Anti Cheat System for Knight Online Gamesoft vversion - User-mode C++ Anti-Cheat written for German Roleplay Server GVMP.de - Cheat developer platform - https://github.com/ekknod/Anti-Cheat-TestBench [TestBench] - https://github.com/gmh5225/Malicious-code-detection-bugu [Malicious code detection and obfuscation] - Kernel Security driver used to block past, current and future process injection techniques on Windows Operating System - https://github.com/gmh5225/Anticheat-android-cheap-engine [Sample implementation of anti-cheat in android] - Proof of concept Anti-Cheat plugin for CS:GO - Deep Learning Anti-Cheat For CSGO - Deep Learning Anti-Cheat For CSGO - https://github.com/jnastarot/anti-cheat - https://github.com/jnastarot/ice9 - https://github.com/realTristan/Reborn [Designed with Rust] - https://github.com/dllcrt0/Dynsec - https://github.com/XZNX5/Basic_Anti-Cheat - https://github.com/MegaAntiCheat - https://github.com/donnaskiez/ac - https://github.com/gmh5225/AcDrv - https://github.com/sc-222/Mandragora [For Assault Cube] - https://github.com/J-Tanzanite/Little-Anti-Cheat [For Source Games] Analysis Framework - https://github.com/pandora-analysis/pandora Detection:Hook - https://github.com/hasherezade/pe-sieve - https://github.com/mike1k/HookHunter - https://github.com/st4ckh0und/hook-buster - https://github.com/gmh5225/Driver-Detect-nullshit - https://github.com/paranoidninja/EtwTi-Syscall-Hook [Instrumentation Callback] - https://github.com/Luchinkin/device-control-hooks-scanner [device-control-hooks-scanner] - https://github.com/ORCx41/KnownDllUnhook [Replace the .txt section of the current loaded modules from \KnownDlls] Detection:Memory Integrity - https://github.com/afulsamet/integrity - https://github.com/Midi12/QueryWorkingSetExample - https://github.com/Deputation/integrity_experiments [header only] Detection:ShellCode - https://github.com/jdu2600/EtwTi-FluctuationMonitor [ETW] - https://github.com/jdu2600/Etw-SyscallMonitor [ETW] - https://github.com/jdu2600/CFG-FindHiddenShellcode [CFG] Detection:Attach - https://github.com/KANKOSHEV/Detect-KeAttachProcess Detection:Triggerbot & Aimbot - https://github.com/KANKOSHEV/Detect-MouseClassServiceCallback - https://github.com/changeofpace/MouHidInputHook - https://github.com/KelvinMsft/UsbMon - https://github.com/87andrewh/DeepAimDetector [Deep Learning] - https://github.com/waldo-vision/waldo [Deep Learning] - https://github.com/waldo-vision/aimbot-detection-prototype [Deep Learning] - https://github.com/bananya-ml/anti-cheat [Deep Learning for CSGO] - https://github.com/hkx3upper/Karlann [Keyboard] - https://github.com/Oliver-1-1/MouseDetection [Mouse] - https://github.com/Oliver-1-1/EtwKeyboardDetection [ETW] Detection:Hide - https://github.com/KANKOSHEV/Detect-HiddenThread-via-KPRCB - https://github.com/ekknod/Anti-Cheat-TestBench [KPRCB+PTE] - https://github.com/weak1337/SystemThreadFinder - https://github.com/mq1n/HiddenModuleDetector - https://github.com/KelvinMsft/ThreadSpy - https://github.com/Rwkeith/Nomad [Mapped Driver] - https://github.com/Nou4r/ModFinder [Mapped Dll] - https://github.com/1401199262/NMIStackWalk [Mapped Driver by NMI Callback] - https://github.com/donnaskiez/nmi-callback-handler [Mapped Driver by NMI Callback] - https://github.com/gmh5225/Kernel_Anti-Cheat [NMI] - https://github.com/jafarlihi/modreveal [Find hidden Linux kernel modules] - https://github.com/gmh5225/Hidden-Thread-Finder [Detect hidden threads] - https://github.com/gmh5225/StealthSytemThreadFinderBE [Detect hidden threads] - https://github.com/eversinc33/unKover [Using NMI/APC to detect mapped drivers] - https://github.com/gmh5225/Rootkit-2 [Using CsrRootProcess to detect hidden process] Detection:Vulnerable Driver - https://github.com/Deputation/hygieia - https://github.com/FaEryICE/MemScanner Detection:EFI Driver - https://github.com/gmh5225/Detect-EFIGuard Detection: Hacked Hypervisor - https://secret.club/2020/04/13/how-anti-cheats-detect-system-emulation.html - https://github.com/helloobaby/Nmi-Callback [NMI Callback] - https://github.com/momo5502/ept-hook-detection [Detect EPT] - https://github.com/gmh5225/Detect-Hypervisor_detect_ring_0 - https://github.com/jonomango/nohv - https://github.com/void-stack/Hypervisor-Detection Detection:Virtual Environments - https://github.com/a0rtega/pafish - https://github.com/gmh5225/Detection-Hyper-v [Hyper-v] - https://github.com/Ahora57/MAJESTY-technologies - https://github.com/therealdreg/anticuckoo [Cuckoo] - https://github.com/strazzere/anti-emulator [Android Anti-Emulator] - https://github.com/gmh5225/Android-Emulator-Detection [Android Anti-Emulator] - https://github.com/LloydLabs/wsb-detect [Windows Sandbox ("WSB")] - https://github.com/DevDaveid/AntiDebug-AntiVM [Vbox] - https://github.com/LukeGoule/compact_vm_detector - https://github.com/kernelwernel/VMAware [VM detection library] - https://github.com/su-vikas/conbeerlib [Android library for detecting Android virtual containers] Detection:HWID - All methods of retrieving unique identifiers(HWIDs) on your PC - https://github.com/medievalghoul/hwid-checker-mg - https://github.com/weak1337/NvidiaApi - https://github.com/paradoxwastaken/WindowsHardwareInfo - https://github.com/lavoiesl/osx-cpu-temp [CPU temperature for OSX] - https://github.com/ashleyhung/WinRing0 [CPU temperature for windows] - https://github.com/openhardwaremonitor/openhardwaremonitor - https://github.com/LibreHardwareMonitor/LibreHardwareMonitor - https://github.com/lfreist/hwinfo - https://github.com/KDIo3/PCIBan - https://github.com/trustdecision/trustdevice-android [Android] - https://github.com/trustdecision/trustdevice-ios [IOS] Detection:SpeedHack - https://github.com/DoranekoSystems/cheap-engine [Android] Detection:Injection - https://github.com/mq1n/DLLThreadInjectionDetector - https://github.com/Nou4r/ModFinder [Mapped Dll] - https://github.com/gmh5225/Driver-WatchOwl [ImageNotify+Stack Trace] - https://github.com/xuanxuan0/TiEtwAgent [ETW] Detection:Spoof Stack - https://github.com/gabriellandau/ShadowStackWalk Detection:ESP - https://github.com/weak1337/PresentHookDetection Detection:DMA - https://github.com/gmh5225/DmaProtect [VT-d/IOMMU] - https://github.com/iqrw0/DieDMAProtection [IOMMU] Detection:Wall Hack - https://github.com/87andrewh/CornerCulling - https://github.com/87andrewh/CornerCullingSourceEngine Detection:Obfuscation - https://github.com/mrphrazer/obfuscation_detection Detection:Android root - https://github.com/rushiranpise/detection [Collection of Various Root Detection Apps for Android] - https://github.com/vvb2060/KeyAttestation [Bootloader] Detection:Magisk - https://github.com/vvb2060/MagiskDetector - https://github.com/canyie/MagiskKiller - https://github.com/Dr-TSNG/ApplistDetector - https://github.com/apkunpacker/MagiskDetection Detection:Frida - https://github.com/darvincisec/DetectFrida - https://github.com/qtfreet00/AntiFrida - https://github.com/muellerberndt/frida-detection Detection:Overlay - https://github.com/geeksonsecurity/android-overlay-protection [Android] Signature Scanning - https://github.com/c3rb3ru5d3d53c/binlex - https://github.com/mischasan/aho-corasick Information System - https://github.com/Enum0x539/Qvoid-Token-Grabber - https://github.com/travisfoley/dfirtriage - https://github.com/AlessandroZ/LaZagne - https://github.com/thewhiteninja/ntfstool - https://github.com/mgeeky/ntfs-journal-viewer - https://github.com/volatilityfoundation/volatility - https://github.com/volatilityfoundation/volatility3 - Decrypt and export browser password, including Chromium,Edge and Firefox - https://github.com/gtworek/VolatileDataCollector - https://github.com/mubix/netview - https://github.com/rbmm/USN - https://github.com/rbmm/SearchEx - https://github.com/ch3rn0byl/ANTfs - https://github.com/strozfriedberg/ntfs-linker - https://github.com/NTFSparse/ntfs_parse - https://github.com/bluecapesecurity/PWF [Windows Forensics Training] - https://github.com/qwqdanchun/Pillager [For exporting and decrypting useful data from target computer] - https://github.com/Psmths/windows-forensic-artifacts [Guide to the various Windows forensic artifacts] Dynamic Script - https://github.com/can1357/NtLua - https://github.com/mrexodia/NtPhp - https://github.com/FastVM/minivm - https://github.com/jnz/q3vm Kernel Mode Winsock - https://github.com/MiroKaku/libwsk [Kernel-Mode Winsock library] Fuzzer - https://github.com/0vercl0k/wtf OpenCV - https://github.com/YouNeverKnow00/Rust-Auto-Weapon-Detection-OpenCV-Example Windows Ring3 Callback - https://github.com/aahmad097/AlternativeShellcodeExec - https://github.com/RixedLabs/IDLE-Abuse - https://github.com/Wra7h/FlavorTown - https://github.com/Deputation/instrumentation_callbacks [Instrumentation Callback] - https://github.com/R4YVEN/beservice_intcallbacks [Instrumentation Callback] - https://github.com/secrary/Hooking-via-InstrumentationCallback [Instrumentation Callback] - https://github.com/paranoidninja/EtwTi-Syscall-Hook [Instrumentation Callback] - https://github.com/jackullrich/syscall-detect [Instrumentation Callback] - https://github.com/thetuh/anticheat-poc [Instrumentation Callback] - https://github.com/1027565/InstrumentationCallbacks [Instrumentation Callback] - Register VEH by hooking RtlpCallVectoredHandlers - ATPMiniDump Callback - https://github.com/jimbeveridge/readdirectorychanges [ReadDirectoryChangesW] - https://github.com/blaquee/dllnotif [DllNotification] - https://github.com/gmh5225/LdrRegisterDllNotification-modify-testing [DllNotification] Windows Ring0 Callback - https://github.com/gmh5225/kernel-callback-functions-list [Callback List] - Enumerate Callback - ImageNotify Callback With RtlWalkFrameChain - SymlinkCallback Winows User Dump Analysis - https://github.com/0vercl0k/udmp-parser Winows Kernel Dump Analysis - https://github.com/gmh5225/Tool-DIYSystemMemoryDump [DIY Dump Type] - https://github.com/0vercl0k/kdmp-parser [Python 3 bindings] - https://github.com/mrexodia/dumpulator [Emulating code in minidump files] - https://github.com/0vercl0k/symbolizer [Execution trace symbolizer] - https://github.com/libyal/libmdmp [Minidump] - https://github.com/tasox/miniDumpReader [Minidump] Sign Tools - https://github.com/mtrojnar/osslsigncode - https://github.com/gmh5225/chainoffools [CVE] - https://github.com/mattifestation/WDACTools [Decrypt p7b] - https://github.com/utoni/PastDSE [Sign Leaked Cert] - https://github.com/Jemmy1228/HookSigntool [Sign Leaked Cert] - https://github.com/namazso/MagicSigner [Sign Leaked Cert] - https://github.com/hzqst/FuckCertVerifyTimeValidity [Sign Leaked Cert] - https://github.com/mathisvickie/sign-expired [Sign Leaked Cert] - https://github.com/hackerhouse-opensource/SignToolEx [Sign Leaked Cert] Backup File - https://github.com/guidoreina/minivers [Generates Backup Copies] Backup Drivers - https://github.com/gloriouslegacy/ezDrvBAK [Backup & restrore the Windows-Drivers] Black Signature - https://github.com/gmh5225/BlackSignatureDriver - https://github.com/jsecurity101/MSFT_DriverBlockList - https://github.com/Harvester57/CodeIntegrity-DriverBlocklist - https://github.com/gmh5225/MS-Vulnerable-Driver-List [Convert Microsoft's blocklist to a hash list] Some Tricks Windows Ring0 - https://www.unknowncheats.me/forum/general-programming-and-reversing/495279-messagebox-kernel-mode.html [Msgbox] - https://back.engineering/01/12/2020/ [Page Table Manipulation] - https://git.back.engineering/_xeroxz/PSKP [PTE Hook] - https://github.com/Rythorndoran/PageTableHook [PTE Hook] - https://github.com/stdhu/windows-kernel-pagehook [PTE Hook] - https://github.com/Xyrem/Yumekage [PTE Hook] - https://github.com/Compiled-Code/be-injector [Attack COW] - https://github.com/Compiled-Code/eac-mapper [Vulnerable MmCopyMemory] - https://github.com/EBalloon/MmCopyMemory [Bypass MmCopyMemory] - https://github.com/Compiled-Code/be-injector [Attack COW] - https://github.com/gmh5225/Allocating-individual-pages [MmAllocateIndependentPagesEx] - https://github.com/gmh5225/Hook-HvlSwitchVirtualAddressSpace [HvcallCodeVa] - https://github.com/1401199262/HookHvcallCodeVa [HvcallCodeVa] - https://github.com/gmh5225/Driver-HypercallPageHook [HvcallCodeVa] - https://github.com/Xyrem/HyperDeceit [HvcallCodeVa] - https://github.com/gmh5225/CallMeWin32kDriver [Load your driver like win32k.sys] - https://github.com/gmh5225/DSEDodge-Signed-Kernel-Driver [Leveraging PTT to defeat DSE] - https://github.com/wbenny/KSOCKET [Kernel Berkeley socket] - https://github.com/StephanvanSchaik/windows-kernel-rs [Writing Windows kernel drivers in Rust] - https://github.com/ekknod/smm [Smm cheat] - https://github.com/rbmm/KPDB [Parsing PDB in Driver] - https://github.com/GetRektBoy724/KPDB [Parsing PDB in Driver] - https://github.com/gmh5225/FakeEnclave [A poc that abuses Enclave] - https://github.com/gmh5225/LetMeGG [A POC about how to prevent windbg break] - https://github.com/UCFoxi/NotifyRoutineHijackThread [Hijack PspCreateThreadNotifyRoutine] - GetWindowName In Kernel Mode - GetWindowInfo In Kernel Mode - Hook KdTrap(Windows global exception hander) [Hook KdTrap] - https://github.com/gmh5225/Hook-KdTrap [Hook KdTrap] - https://github.com/gmh5225/AcDrv [Global exception/KdpDebugRoutineSelect] - https://github.com/gmh5225/AcDrv [SwapContext hook] - https://github.com/gmh5225/Driver-SoulExtraction [Extracting cert information] - https://github.com/Ido-Moshe-Github/CiDllDemo [Use ci.dll API for validating Authenticode signature of files] - https://github.com/mihaly044/pedigest [Calculating the authenticode digest] - https://github.com/gmh5225/Kernel-Special-APC-ReadProcessMemory [Kernel APC RPM] - https://github.com/NSG650/Bad-BugCheck-Old [BSOD] - https://github.com/NSG650/Bad-Bugcheck [BSOD] - https://github.com/NSG650/NoMoreBugCheck [BSOD] - https://github.com/NSG650/BugCheckHack [BSOD] - https://github.com/NSG650/BugCheck2Linux [BSOD] - https://github.com/AnalogFeelings/KmdfMandelcheck [BSOD] - https://github.com/stuxnet147/PiDqSerializationWrite-Example [PiDqSerializationWrite] - https://github.com/Rythorndoran/enum_real_dirbase [Find real dirbase] - https://github.com/backengineering/POC-ExFlushTb [A POC for monitoring Tb] - https://github.com/Cr4sh/KernelForge [A library to develop kernel level Windows payloads for post HVCI era] - https://gist.github.com/gmh5225/ab00f831ffdf4ef608ab3b6eb0d37250 [Create process from KernelMode via APC] - https://github.com/gmh5225/Map-file-in-system-space [MiMapViewInSystemSpace] Windows Ring3 - https://secret.club/2021/01/04/thread-stuff.html [Anti Debug] - https://github.com/utoni/PastDSE [Sign Leaked Cert] - https://github.com/Jemmy1228/HookSigntool [Sign Leaked Cert] - https://github.com/namazso/MagicSigner [Sign Leaked Cert] - https://github.com/hzqst/FuckCertVerifyTimeValidity [Sign Leaked Cert] - https://github.com/mathisvickie/sign-expired [Sign Leaked Cert] - https://github.com/Sentient111/StealingSignatures [Stealing signatures from pe files] - https://github.com/secretsquirrel/SigThief [Stealing signatures from pe files] - https://github.com/jfmaes/LazySign [Fake Cert] - https://github.com/Tylous/Limelighter [Fake Cert] - https://github.com/gmh5225/chainoffools [Fake Cert] - https://github.com/gmh5225/FakeSign [Fake Cert] - https://github.com/Adepts-Of-0xCC/MiniDumpWriteDumpPoC [Dump Memory] - A x64 Write-What-Where exploit+shellcode execution vulnerability - Dll injection through code page id modification in registry - https://github.com/huoji120/Etw-Syscall [ETW Syscall] - https://github.com/weak1337/SkipHook [Skip Hook] - https://github.com/ekknod/SetWindowHookEx [Using SetWindowHookEx for preinjected DLL's] - A tool for patching authenticode signed PE files (exe, dll, sys ..etc) without invalidating or breaking the existing signature - Simple program to stream offsets for your game cheat - https://github.com/jnastarot/HIGU_ntcall [Direct System Calls] - https://github.com/rbmm/LockFile-Poc [Lock File] - A kernel exploit leveraging NtUserHardErrorControl to elevate a thread to KernelMode and achieve arbitrary kernel R/W & more - https://github.com/gmh5225/dll-encryptor [Able to stream a dll without touching your disk] - Running Shellcode Through EnumDisplayMonitors - open-source windows defender manager can disable windows defender permanently - Read Memory without ReadProcessMemory for Current Process - get process token whose integrity level is system and manipulate it to get privilege escalation - A library that meant to perform evasive communication using stolen browser socket - https://github.com/cpz/trinity [Fully disables & removes Windows Defender] - https://github.com/EvilGreys/Disable-Windows-Defender- [Disable Windows Defender] - https://github.com/gabriellandau/ShadowStackWalk [Finding Truth in the Shadows] - https://github.com/gmh5225/r0ak [r0ak] - https://github.com/ZeroMemoryEx/Wizard-Loader [Abuse Xwizard.exe for DLL Side-Loading] - https://github.com/LloydLabs/shellcode-plain-sight [Hiding shellcode in plain sight within a large memory region] - https://github.com/huntandhackett/process-cloning [Clone process] - https://github.com/backengineering/msrexec [Elevate arbitrary MSR writes to kernel execution] - https://github.com/deepinstinct/Dirty-Vanity [Abusing RtlCreateProcessReflection] - https://github.com/mandiant/ShimCacheParser [Shim Cache parser] Android - https://github.com/WindySha/bypassHiddenApiRestriction [Bypass hidden api restriction] - https://github.com/LSPosed/AndroidHiddenApiBypass [Bypass hidden api restriction] - https://github.com/stars-one/ASCTool [Apk Signature Crack Tool] - https://github.com/ekknod/usbsn [USB serial number changer (root only)] - https://github.com/gmh5225/Android-privilege-CVE-2022-20452-LeakValue [Privilege Escalation] - https://github.com/tiann/KernelSU [A Kernel based root solution for Android GKI] - https://github.com/MlgmXyysd/KernelSU_Debug [KernelSU modified for debugging] - https://github.com/CoolestEnoch/kernel-su-huawei-nova2 [KernelSU for huawei] - https://github.com/gmh5225/android_kernel_huawei_hi6250-8_Exp [KernelSU for huawei] - https://github.com/abcz316/SKRoot-linuxKernelRoot [Kernel root] - https://github.com/Dr-TSNG/ZygiskOnKernelSU [Run Zygisk on KernelSU] Windows Security Features https://github.com/yardenshafir/cet-research [CET] https://github.com/gmh5225/CET-win10 [CET] HyperGuard https://github.com/gmh5225/QueryShadowStack [Shadow Stack] https://namazso.github.io/x86/html/INCSSPD_INCSSPQ.html [CET] https://techcommunity.microsoft.com/t5/windows-os-platform-blog/understanding-hardware-enforced-stack-protection/ba-p/1247815 [CET] https://reviews.llvm.org/rG21b25a1fb32ecd2e1f336123c2715f8ef1a49f97 [CET] https://www.osronline.com/article.cfm%5earticle=469.htm [SEH] Windows Subsystem for Linux https://github.com/microsoft/WSL2-Linux-Kernel https://github.com/sxlmnwb/windows-subsystem-linux Windows Subsystem for Android https://github.com/K3V1991/How-to-download-and-install-WSA [Guide] https://github.com/KiruyaMomochi/wsa-kernel-build [Build WSA Kernel with Docker] https://github.com/sergiovillaverde/win11_apk_installer https://github.com/LSPosed/MagiskOnWSA https://github.com/alesimula/wsa_pacman https://github.com/WSA-Community/WSA-Linux-Kernel https://github.com/Paxxs/BuildWSA https://github.com/LSPosed/MagiskOnWSALocal https://github.com/cinit/WSAPatch [Make WSA run on Windows 10] https://github.com/MustardChef/WSABuilds https://github.com/LSPosed/WSA-Kernel-SU [WSA with KernelSU] Windows Emulator https://github.com/brunodev85/winlator [Android application for running Windows applications with Wine and Box86/Box64] Android Emulator https://github.com/Genymobile https://github.com/Genymobile/genymotion-kernel https://github.com/anbox/anbox https://github.com/jwmcglynn/android-emulator https://github.com/google/android-emulator-hypervisor-driver https://github.com/ant4g0nist/rudroid [Rust] https://github.com/qemu-gvm/qemu-gvm [QEMU] https://github.com/quarkslab/AERoot [Root] IOS Emulator https://github.com/ChefKissInc/qemu-apple-silicon Game Boy https://github.com/xkevio/kevboy [Emulator] https://github.com/vojty/feather-gb [Emulator] https://github.com/chrismaltby/gb-studio [GB Studio] Nintendo Switch https://github.com/yuzu-mirror https://github.com/Ryujinx/Ryujinx https://github.com/gmh5225/Nintendo-Switch-Emulator-yuzu https://github.com/gmh5225/yuzu-android https://github.com/Logboy2000/yuzu-archive https://github.com/gmh5225/nuzu [Yuzu based repository] https://github.com/CTCaer/hekate [A GUI based Nintendo Switch Bootloader] https://github.com/Atmosphere-NX/Atmosphere [Customized firmware] https://github.com/tomvita/SE-tools [Memory hacking] https://github.com/jakcron/nstool [General purpose read/extract tool]

awesome game security [Welcome to PR]

game,awesome,cheat,anticheat,windows,debug,antidebug,engine,security,anti

horizon-ui/horizon-ui-chakra

Horizon UI ⚡️ Get started and build your dream web app with Horizon UI, the most trendiest & innovative Open Source Admin Template for Chakra UI & React! Introduction Designed for those who like modern UI elements and beautiful websites. Made of hundred of elements, designed blocks and fully coded pages, Horizon UI is ready to help you create stunning websites and webapps. Save hundreds of hours trying to create and develop a dashboard from scratch. The fastest, most responsive & trendiest dashboard is here. Seriously. With Horizon UI you will find many examples for pages like NFTs Pages, Authentication Pages, Profile and so on. Just choose between a Basic Design or a cover and you are good to go! 🎉 [NEW] Horizon UI Components All the main components from both versions, this will help you to see and interact with all & the latest added components of Horizon (also, new components are on the way, stay tuned)! ⚡️ See all components Documentation Each element is well presented in a very complex documentation. You can read more about the documentation here. Quick Start Install Horizon UI by running either of the following: Install NodeJS LTS from NodeJs Official Page (NOTE: Product only works with LTS version) Clone the repository with the following command: bash git clone https://github.com/horizon-ui/horizon-ui-chakra.git Run in terminal this command: bash npm install Then run this command to start your local server bash npm start Example Pages If you want to get inspiration or just show something directly to your clients, you can jump start your development with our pre-built example pages. You will be able to quickly set up the basic structure for your web project. View example pages here. Versions | Free Version | PRO Version | | ------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------- | | | | Figma Version Horizon UI is available in Figma format as well! Check it out on Figma Community! 🎨 See the Horizon UI Figma design files Reporting Issues We use GitHub Issues as the official bug tracker for the Horizon UI. Here are some advices for our users that want to report an issue: Make sure that you are using the latest version of the Horizon UI Dashbaord. Check the CHANGELOG from your dashboard on our CHANGE LOG File . Providing us reproducible steps for the issue will shorten the time it takes for it to be fixed. Some issues may be browser specific, so specifying in what browser you encountered the issue might help. Community Connect with the community! Feel free to ask questions, report issues, and meet new people that already use Horizon UI! 💬 Join the #HorizonUI Discord Community! Copyright and license ⭐️ Copyright 2023 Simmmple 📄 Horizon UI License

Horizon UI JavaScript ⭐️ The trendiest & innovative Open Source Admin Template for Chakra UI & React!

admin,template,admin-ui,dashboard,admin-dashboard,admin-panel,admin-template,chakra-ui,chakra-ui-react,dashboard-template

batnoter/batnoter

Create and store notes to your git repository! https://batnoter.com BatNoter BatNoter is a web application that allows users to store notes in their git repository. This is a frontend project built using mainly react (typescript), redux-toolkit & mui components. BatNoter API is the backend implementation of REST APIs which are used by this react app. Features Login with GitHub. Create, edit, delete, organize & explore notes easily with a nice & clean user interface. Markdown format supported allowing users to add hyperlink, table, headings, code blocks, blockquote... etc inside notes. Editor allows preview of markdown. Quickly copy code from the code section using copy to clipboard button. Store notes directly at the root or use folders to organize them (nesting supported). Explore all the notes from a specific directory with single click. All the notes are stored inside user's github repository. Notes are cached to avoid additional API calls. URLs can be bookmarked. Dark/Light mode supported. Local Development Setup Prerequisites Node.js version 18 or above Start the server shell npm install npm start This will start the react app in the development mode. Open http://localhost:3000 to view it in the browser. Run tests shell npm test This will execute all the tests and also prints the code coverage percentage. Contribution Guidelines Every Contribution Makes a Difference Read the Contribution Guidelines before you contribute. Contributors Thanks goes to these wonderful people 🎉

An open source, markdown-based, self-hosted note taking webapp.

notes,git,github,markdown,productivity,react,webapp,contributions-welcome,reactjs,container-ready

lmarzen/esp32-weather-epd

ESP32 E-Paper Weather Display This is a weather display powered by a wifi-enabled ESP32 microcontroller and a 7.5in E-Paper (aka E-ink) display. Current and forecasted weather data is obtained from the OpenWeatherMap API. A sensor provides the display with accurate indoor temperature and humidity. The project draws ~14μA when sleeping and an estimated average of ~83mA during its ~15s wake period. The display can be configured to update as frequently as desired. When the refresh interval is set to 30 minutes, the device will run for >6 months on a single 5000mAh battery. The project displays accurate battery life percentage and can be recharged via a USB-C cable connected to a wall adapter or computer. There are configuration options for everything from location, time/date formats, units, and language to air quality index scale and hourly outlook graph bounds. The hourly outlook graph (bottom right) shows a line indicating temperature and shaded bars indicating probability of precipitation (or optionally volume of precipitation). Here are two examples utilizing various configuration options: Contents Setup Guide Hardware Wiring Configuration, Compilation, and Upload OpenWeatherMap API Key Error Messages and Troubleshooting Low Battery WiFi Connection API Error Time Server Error Licensing Setup Guide Hardware 7.5inch (800×480) E-Paper Display Advantages of E-Paper Ultra Low Power Consumption - E-Paper (aka E-Ink) displays are ideal for low-power applications that do not require frequent display refreshes. E-Paper displays only draw power when refreshing the display and do not have a backlight. Images will remain on the screen even when power is removed. Limitations of E-Paper: Colors - E-Paper has traditionally been limited to just black and white, but in recent years 3-color E-Paper screens have started showing up. Refresh Times and Ghosting - E-Paper displays are highly susceptible to ghosting effects if refreshed too quickly. To avoid this, E-Paper displays often take a few seconds to refresh(4s for the unit used in this project) and will alternate between black and white a few times, which can be distracting. Panel support: Waveshare and Good Display make equivalent panels. Either variant will work. | Panel | Resolution | Colors | Notes | |-----------------------------------------|------------|-----------------|-----------------------------------------------------------------------------------------------------------------------| | Waveshare 7.5in e-paper (v2) | 800x480px | Black/White | Available here . (recommended) | | Good Display 7.5in e-paper (GDEY075T7) | 800x480px | Black/White | Available here . (recommended) | | Waveshare 7.5in e-Paper (B) | 800x480px | Red/Black/White | Available here . | | Good Display 7.5in e-paper (GDEY075Z08) | 800x480px | Red/Black/White | Available here . | | Waveshare 7.3in ACeP e-Paper (F) | 800x480px | 7-Color | Available here . | | Good Display 7.3in e-paper (GDEY073D46) | 800x480px | 7-Color | Available here . | | Waveshare 7.5in e-paper (v1) | 640x384px | Black/White | Limited support. Some information not displayed, see image . | | Good Display 7.5in e-paper (GDEW075T8) | 640x384px | Black/White | Limited support. Some information not displayed, see image . | This software has limited support for accent colors. E-paper panels with additional colors tend to have longer refresh times, which will reduce battery life. DESPI-C02 Adapter Board No level converters, which makes it better for low-power use with 3.3V processors compared to the Waveshare HAT. Waveshare started shipping revision 2.3 of their e-paper HAT. Some users have reported issues with this HAT ( #62 ). https://www.e-paper-display.com/products_detail/productId=403.html https://www.aliexpress.us/item/3256804446769469.html FireBeetle 2 ESP32-E Microcontroller Why the ESP32? Onboard WiFi. 520kB of RAM and 4MB of FLASH, enough to store lots of icons and fonts. Low power consumption. Small size, many small development boards available. Why the FireBeetle 2 ESP32-E Drobot's FireBeetle ESP32 models are optimized for low-power consumption ( https://diyi0t.com/reduce-the-esp32-power-consumption/ ). The Drobot's FireBeetle 2 ESP32-E variant offers USB-C, but older versions of the board with Micro-USB would work fine too. Firebeetle ESP32 models include onboard charging circuitry for a 3.7v lithium-ion(LiPo) battery. FireBeetle ESP32 models include onboard circuitry to monitor battery voltage of a battery connected to its JST-PH2.0 connector. https://www.dfrobot.com/product-2195.html BME280 - Pressure, Temperature, and Humidity Sensor Provides accurate indoor temperature and humidity. Much faster than the DHT22, which requires a 2-second wait before reading temperature and humidity samples. 3.7V Lipo Battery w/ 2 Pin JST Connector Size is up to you. I used a 5000mah battery so that the device can operate on a single charge for >6 months. The battery can be charged by plugging the FireBeetle ESP32 into the wall via the USB-C connector while the battery is plugged into the ESP32's JST connector. Warning The polarity of JST-PH2.0 connectors is not standardized! You may need to swap the order of the wires in the connector. Stand/Frame - You'll want a nice way to show off your project. Here are a few popular choices. - DIY Wooden - I made a small stand by hollowing out a piece of wood from the bottom. On the back, I used a short USB extension cable so that I can charge the battery without needing to remove the components from the stand. I also wired a small reset button to refresh the display manually. Additionally, I 3d printed a cover for the bottom, which is held on by magnets. The E-paper screen is very thin, so I used a thin piece of acrylic to support it. - Measurements: - depth = 63mm height = 49mm width = 170.2mm (= width of the screen) screen angle = 80deg screen is 15mm from the front - 3D Printable - Here is a list of community designs. | Contributor | Link | |----------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------| | [Francois Allard](https://www.printables.com/@FrAllard_1585397) | [Printables](https://www.printables.com/model/791477-weather-station-using-a-esp32) | | [3D Nate](https://www.printables.com/@3DNate_451157) | [Printables](https://www.printables.com/model/661183-e-ink-weather-station-frame) | | [Sven F.](https://github.com/Spanholz) | [Printables](https://www.printables.com/model/657756-case-for-esp32-weather-station) | | [Layers Studio](https://www.printables.com/@LayersStudio) | [Printables](https://www.printables.com/model/655768-esp32-e-paper-weather-display-stand) | | [PJ Veltri](https://www.printables.com/@PJVeltri_1590999) | [Printables](https://www.printables.com/model/692944-base-and-display-holder-for-esp-32-e-paper-weather) | | [TheMeanCanEHdian](https://www.printables.com/@TheMeanCanEH_1207348) | [Printables](https://www.printables.com/model/841458-weather-display-enclosure) | | [MPHarms](https://www.thingiverse.com/mpharms/designs) | [Thingiverse](https://www.thingiverse.com/thing:6666148) | If you want to share your own 3D printable designs, your contributions are highly encouraged and welcome! Picture Frame Wiring Pin connections are defined in config.cpp . If you are using the FireBeetle 2 ESP32-E, you can use the connections I used or change them how you would like. I have included 2 wiring diagrams. One for the Waveshare HAT rev2.2 and another using the recommended DESPI-C02. IMPORTANT: The Waveshare E-Paper Driver HAT has two physical switches that MUST be set correctly for the display to work. Display Config: Set switch to position B. Interface Config: Set switch to position 0. IMPORTANT: The DESPI-C02 adapter has one physical switch that MUST be set correctly for the display to work. RESE: Set switch to position 0.47. Cut the low power pad for even longer battery life. From https://wiki.dfrobot.com/FireBeetle_Board_ESP32_E_SKU_DFR0654 Low Power Pad: This pad is specially designed for low power consumption. It is connected by default. You can cut off the thin wire in the middle with a knife to disconnect it. After disconnection, the static power consumption can be reduced by 500 μA. The power consumption can be reduced to 13 μA after controlling the maincontroller enter the sleep mode through the program. Note: when the pad is disconnected, you can only drive RGB LED light via the USB Power supply. Configuration, Compilation, and Upload PlatformIO for VSCode is used for managing dependencies, code compilation, and uploading to ESP32. Clone this repository or download and extract the .zip. Install VSCode. Follow these instructions to install the PlatformIO extension for VSCode: https://platformio.org/install/ide?install=vscode Open the project in VSCode. a. File > Open Folder... b. Navigate to this project and select the folder called "platformio". Configure Options. Most configuration options are located in config.cpp , with a few in config.h . Locale/language options can also be found in locales/locale_**.cpp. Important settings to configure in config.cpp: WiFi credentials (ssid, password). Open Weather Map API key (it's free, see next section for important notes about obtaining an API key). Latitude and longitude. Time and date formats. Sleep duration. Pin connections for E-Paper (SPI), BME280 (I2C), and battery voltage (ADC). Important settings to configure in config.h: Units (Metric or Imperial). Comments explain each option in detail. Build and Upload Code. a. Connect ESP32 to your computer via USB. b. Click the upload arrow along the bottom of the VSCode window. (Should say "PlatformIO: Upload" if you hover over it.) - PlatformIO will automatically download the required third-party libraries, compile, and upload the code. :) - You will only see this if you have the PlatformIO extension installed. - If you are getting errors during the upload process, you may need to install drivers to allow you to upload code to the ESP32. OpenWeatherMap API Key Sign up here to get an API key; it's free. https://openweathermap.org/api This project will make calls to 2 different APIs ("One Call" and "Air Pollution"). Note OpenWeatherMap One Call 2.5 API has been deprecated for all new free users (accounts created after Summer 2022). Fortunately, you can make 1,000 calls/day to the One Call 3.0 API for free by following the steps below. If you have an account created before Summer 2022, you can simply use the One Call 2.5 API by setting OWM_ONECALL_VERSION = "2.5"; in config.cpp. Otherwise, the One Call API 3.0 is only included in the "One Call by Call" subscription. This separate subscription includes 1,000 calls/day for free and allows you to pay only for the number of API calls made to this product. Here's how to subscribe and avoid any credit card changes: - Go to https://home.openweathermap.org/subscriptions/billing_info/onecall_30/base?key=base&service=onecall_30 - Follow the instructions to complete the subscription. - Go to https://home.openweathermap.org/subscriptions and set the "Calls per day (no more than)" to 1,000. This ensures you will never overrun the free calls. Error Messages and Troubleshooting Low Battery This error screen appears once the battery voltage has fallen below LOW_BATTERY_VOLTAGE (default = 3.20v). The display will not refresh again until it detects battery voltage above LOW_BATTERY_VOLTAGE. When battery voltage is between LOW_BATTERY_VOLTAGE and VERY_LOW_BATTERY_VOLTAGE (default = 3.10v) the esp32 will deep-sleep for periods of LOW_BATTERY_SLEEP_INTERVAL (default = 30min) before checking battery voltage again. If the battery voltage falls between LOW_BATTERY_SLEEP_INTERVAL and CRIT_LOW_BATTERY_VOLTAGE (default = 3.00v), then the display will deep-sleep for periods VERY_LOW_BATTERY_SLEEP_INTERVAL (default = 120min). If battery voltage falls below CRIT_LOW_BATTERY_VOLTAGE, then the esp32 will enter hibernate mode and will require a manual push of the reset (RST) button to begin updating again. WiFi Connection This error screen appears when the ESP32 fails to connect to WiFi. If the message reads "WiFi Connection Failed" this might indicate an incorrect password. If the message reads "SSID Not Available" this might indicate that you mistyped the SSID or that the esp32 is out of the range of the access point. The esp32 will retry once every SLEEP_DURATION (default = 30min). API Error This error screen appears if an error (client or server) occurs when making an API request to OpenWeatherMap. The second line will give the error code followed by a descriptor phrase. Positive error codes correspond to HTTP response status codes, while error codes <= 0 indicate a client(esp32) error. The esp32 will retry once every SLEEP_DURATION (default = 30min). In the example shown to the left, "401: Unauthorized" may be the result of an incorrect API key or that you are attempting to use the One Call v3 API without the proper account setup. Time Server Error This error screen appears when the esp32 fails to fetch the time from NTP_SERVER_1/NTP_SERVER_2. This error sometimes occurs immediately after uploading to the esp32; in this case, just hit the reset button or wait for SLEEP_DURATION (default = 30min) and the esp32 to automatically retry. If the error persists, try selecting closer/lower latency time servers or increasing NTP_TIMEOUT. Licensing esp32-weather-epd is licensed under the GNU General Public License v3.0 with tools, fonts, and icons whose licenses are as follows: | Name | License | Description | |---------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------|------------------------------------------------------------------------------------| | Adafruit-GFX-Library: fontconvert | BSD License | CLI tool for preprocessing fonts to be used with the Adafruit_GFX Arduino library. | | pollutant-concentration-to-aqi | GNU Lesser General Public License v2.1 | C library that converts pollutant concentrations to Air Quality Index(AQI). | | GNU FreeFont | GNU General Public License v3.0 | Font Family | | Lato | SIL OFL v1.1 | Font Family | | Montserrat | SIL OFL v1.1 | Font Family | | Open Sans | SIL OFL v1.1 | Font Family | | Poppins | SIL OFL v1.1 | Font Family | | Quicksand | SIL OFL v1.1 | Font Family | | Raleway | SIL OFL v1.1 | Font Family | | Roboto | Apache License v2.0 | Font Family | | Roboto Mono | Apache License v2.0 | Font Family | | Roboto Slab | Apache License v2.0 | Font Family | | Ubuntu font | Ubuntu Font Licence v1.0 | Font Family | | Weather Themed Icons | SIL OFL v1.1 | (wi- .svg) Weather icon family by Lukas Bischoff/Erik Flowers. | | Google Icons | Apache License v2.0 | (battery .svg, visibility_icon.svg) Battery and visibility icons from Google Icons. | | Biological Hazard Symbol | CC0 v1.0 | (biological_hazard_symbol.svg) Biohazard icon. | | House Icon | MIT License | (house.svg) House icon. | | Indoor Temerature/Humidity Icons | SIL OFL v1.1 | (house_ .svg) Indoor temerature/humidity icons. | | Ionizing Radiation Symbol | CC0 v1.0 | (ionizing_radiation_symbol.svg) Ionizing radiation icons. | | Phosphor Icons | MIT License | (wifi .svg, warning_icon.svg, error_icon.svg) WiFi, Warning, and Error icons from Phosphor Icons. | | Wind Direction Icon | CC BY v3.0 | (meteorological_wind_direction_**deg.svg) Meteorological wind direction icon from Online Web Fonts. |

A low-power E-Paper weather display powered by an ESP32 microcontroller. Utilizes the OpenWeatherMap API.

display,eink,embedded,epaper,esp32,weather

nvh95/jest-preview

Jest Preview Debug your Jest tests. Effortlessly. 🛠🖼 Try Jest Preview Online . No downloads needed! Using Vitest? Try Vitest Preview Why jest-preview When writing tests using Jest, we usually debug by reading the HTML code. Sometimes, the HTML is too complicated to visualize the UI in our head. jest-preview previews your Jest tests right in a browser, then you can see your actual UI visually, which helps you write and debug Jest tests faster. jest-preview is initially designed to work with Jest and react-testing-library . The package is framework-agnostic, and you can use it with any frontend frameworks and testing libraries. For examples: Vite React Create React App Nextjs Svelte Angular Vue Features 👀 Preview your actual app's HTML in a browser in milliseconds. 🔄 Auto reload browser when executing preview. debug()`. 💅 Support CSS: ✅ Direct CSS import ✅ Number of CSS-in-JS libraries, such as: ✅ Styled-components ✅ Emotion ✅ Global CSS ✅ CSS Modules ✅ Sass 🌄 Support viewing images. How to use jest-preview in 2 lines of code ```diff +import preview from 'jest-preview'; describe('App', () => { it('should work as expected', () => { render( ); + preview.debug(); }); }); ``` Or: ```diff +import { debug } from 'jest-preview'; describe('App', () => { it('should work as expected', () => { render( ); + debug(); }); }); ``` You also need to start the Jest Preview Server by running the CLI jest-preview . Please continue to read Usage for the details instructions. Feedback Your feedback is very important to us. Please help jest-preview becomes a better software by submitting feedback here . Installation See the Installation Guide on Jest Preview official website. Usage See the Usage Guide on Jest Preview official website. Advanced configurations Jest Preview comes with Pre-configured transformation . However, in more advanced use cases where you have custom code transformation, check out the Code Transformation Guide . Upcoming features Support more css-in-js libraries. Multiple previews. You name it . Support Please file an issue , or add a new discussion if you encounter any issues. You can also mention @JestPreview or @hung_dev on Twitter if you want to have some more discussions or suggestions. We also have a Discord server: Contributing We can't wait to see your contributions. See the Contribution Guide at CONTRIBUTING.md Contributors ✨ Thanks goes to these wonderful people ( emoji key ): Hung Viet Nguyen 💻 📖 💡 Truong Nguyen 💻 📖 💡 Viet Huu Doan 🎨 HarveyNguyen ⚠️ Matt Murphy 📖 Traitanit Huangsri 💻 Thanh Son Nguyen 💻 💡 📖 Minh Nguyen 📖 Kyle(Tình Vũ) 🐛 Makoto Tateno 📖 Abhishek Rawat 📖 Huynh Duc Duy 💻 Nuno Casteleira 🐛 sundaycrafts 💻 LunduoCai 🐛 huyenuet ⚠️ Bennett Dams 📖 Steven Rosato 💡 🐛 nhducit 🤔 Benoit GRASSET 🐛 Sergii Kirianov 📖 🖋 💻 Kim, Harim 📖 Lars Gyrup Brink Nielsen 📖 💡 Mike Shi 📖 Veniamin Krol 📖 Ikko Ashimine 💻 Pavel Shut 🐛 David Z Hao 🐛 Rohitbels 💻 Rivaldi Putra 📖 Long Zhao 💻 Justin Sun 🌍 This project follows the all-contributors specification. Contributions of any kind are welcome! Star history License MIT Sponsors Your financial support helps the project alive and in a development mode. Make an impact by sponsoring us $1 via Open Collective . Bronze Sponsor 🥉: Your company's logo/ profile picture on README.md and www.jest-preview.com Silver Sponsor 🥈: All of these above Your requests will be prioritized. Gold Sponsor 🥇: All of these above Let's discuss your benefits for this tier, please contact the author Diamond Sponsor 💎: All of these above Let's discuss your benefits for this tier, please contact the author Bronze Sponsors 🥉 Past Sponsors

Debug your Jest tests. Effortlessly.🛠🖼

jest,frontend,testing,productivity,debug,javascript,test,react,css,jest-view-html

lingo3d/lingo3d

This repository is archived. The Lingo3D team is building a game! Please visit https://haxxus.com/ for more detail.

Lingo3D is a web-first 3d game development library with React and Vue integration.

[]

Lucaslhm/Flipper-IRDB

A maintained collective of different IR files for the Flipper Zero ! Installation Method 1: Copy Files to SD Card Directly copying the .ir files to the Flipper's SD card is the fastest and safest method, but you have to dismount the SD card and plug it into the computer directly. Download and extract or Git-clone this repo to your computer. Open the downloaded / cloned repository in a File Explorer. Dismount the SD card from the Flipper and mount it to your computer Copy the desired files from the Flipper-IRDB to the infrared/ folder on your SD Card Dismount the SD card from your computer and mount it to your Flipper Method 2: Copy Files using QFlipper [!IMPORTANT] Because of Flipper limitations, the transfer via QFlipper can take a long time, depending on how many files you want to copy. If you only want to copy several files, this will work fine, but if you want to load the entire Flipper-IRDB onto your Flipper, we strongly recommend copying the files directly onto the SD card . Git-clone or Download and extract this repository to your computer. Connect your Flipper to your PC using a USB-C cable. Open QFlipper Verify that your Flipper shows "Connected" Ensure your Flipper is fully up-to-date: Look for the green "Update" button near the middle-right of the application. Press "Update" and allow the Flipper to complete the Update process and then reboot before continuing. Open the File Manager by selecting the "File Manager" icon (piece of paper) on the top left of the QFlipper application. Select SD Card , then navigate to the infrared folder by double-clicking its icon. Drag the downloaded .ir files you want on your Flipper from the File Explorer into the QFlipper File Manager. Method 3: Copy Files using the Flipper Mobile App Download/copy the desired .ir files from the database to your smartphone, e.g. to the Download folder. Be sure the extension is ".ir". Open the Flipper Mobile App and go to Connected > Options > activate Experimental Options Open the now appearing "File Manager" > ext > infrared > upload symbol > Choose .ir file from your Download folder The remote can be found on your Flipper Zero > Infrared > Saved Remotes Contributing We welcome contributions to Flipper-IRDB! If you have any IR files that are not included in the repository, we would love to have your additions . This repo is organized in the following fashion in descending order: Device Type > Device Brand > Device Series (if known/applicable) When adding remotes to this repo, it is helpful to ensure your device name(s) follow the <brand>_<model>.ir naming scheme. It is also helpful to ensure your model numbers are capitalized, as per the following examples: :white_check_mark: LG_55UN7300AUD.ir :x: LG_55UN7300AUD.txt (wrong extension) :x: lg_55un7300aud.ir (model numbers not capitalized) :x: tv.ir (too generic) It's helpful to add further information as a comment directly into the IR file if possible. Make, model, link, or even a short description can be helpful if the name is changed (or just in general). ```bash Filetype: IR signals file Version: 1 Dynex EN-21669D TV <-- name: Power ``` Naming Scheme Please use this naming scheme for buttons. This helps us create universal assets more easily and maintain consistency. | TVs | Audio | ACs | | --------- | -------- | --------- | | Power | Power | Off | | Vol_up | Vol_up | Cool_hi | | Vol_dn | Vol_dn | Cool_lo | | Ch_next | Next | Heat_hi | | Ch_prev | Prev | Heat_lo | | Mute | Mute | Dh | | | Play | | | | Pause | | Universal Remotes The maintainers (mostly amec0e ) add individual additions to the various Universal Remotes in unleashed-firmware , which are adapted by many other firmware options. If you would like to contribute to the Universal Remotes, please make sure to follow the naming scheme above. For ACs, this is an important read . Make your own manually! Did you know IR files are plain text files? If a remote is missing, you might be able to make it manually . Maintainers Maintainers / Major contributors include: Lucaslhm UberGuidoZ ezod amec0e darmiel dedhedzed SkeletonMan03 sealldeveloper jaroslavmraz ESurge bussardrobbie wdoekes emptythevoid plus MANY others !

A collective of different IRs for the Flipper

[]

railwayapp/nixpacks

Nixpacks App source + Nix packages + Docker = Image Nixpacks takes a source directory and produces an OCI compliant image that can be deployed anywhere. The project was started by the Railway team as an alternative to Buildpacks and attempts to address a lot of the shortcomings and issues that occurred when deploying thousands of user apps to the Railway platform. The biggest change is that system and language dependencies are pulled from the Nix ecosystem. Read the docs 👉 nixpacks.com . Contributing Contributions are welcome with the big caveat that this is a very early stage project and the implementation details and API will most likely change between now and a stable release. For more details on how to contribute, please see the Contributing guidelines .

App source + Nix packages + Docker = Image

buildpacks,cli,docker,nix,nixpkgs,rust

obi1kenobi/trustfall

Trustfall — Engine for Querying (Almost) Everything Trustfall is a query engine for querying any kind of data source, from APIs and databases to any kind of files on disk — and even AI models. Try Trustfall in your browser 10min tech talk + demo Examples of querying real-world data with Trustfall Try Trustfall in your browser The Trustfall Playground supports running queries against public data sources such as: - the HackerNews REST APIs: https://play.predr.ag/hackernews - the rustdoc JSON of top Rust crates: https://play.predr.ag/rustdoc For example, this link shows the results of the HackerNews query: "Which GitHub or Twitter users are commenting on stories about OpenAI?" In the Playground, Trustfall is configured to run client-side as WASM, performing all aspects of query processing (parsing, compilation, and execution) within the browser. While this demo highlights Trustfall's ability to be embedded within a target application, it is of course able to be used in a more traditional client-server context as well. 10min tech talk + demo Trustfall was featured in the "How to Query (Almost) Everything" talk talk at the HYTRADBOI 2022 conference. Demo from the talk showing the execution of the cross-API query: "Which GitHub Actions are used in projects on the front page of HackerNews with >=10 points?" The demo executes the following query across the HackerNews and GitHub APIs and over the YAML-formatted GitHub repository workflow files: ```graphql { HackerNewsTop(max: 200) { ... on HackerNewsStory { hn_score: score @filter(op: ">=", value: ["$min_score"]) @output link { ... on GitHubRepository { repo_url: url @output workflows { workflow: name @output workflow_path: path @output jobs { job: name @output step { ... on GitHubActionsImportedStep { step: name @output action: uses @output } } } } } } } } } ``` Instructions for running the demo are available together with the source code in the demo-hytradboi directory: link . Examples of querying real-world data with Trustfall HackerNews APIs , including an overview of the query language and an example of querying REST APIs. RSS/Atom feeds , showing how to query structured data like RSS/Atom feeds. airport weather data (METAR) , showing how to query CSV data from aviation weather reports. Trustfall also powers the cargo-semver-checks semantic versioning linter. More details on the role Trustfall plays in that use case are available in this blog post . Using Trustfall over a new data source The easiest way to plug in a new data source is by implementing the BasicAdapter trait . Python bindings are available, and are built automatically on every change to the engine; the most recent version may be downloaded here . A getting started guide for Python is forthcoming ( tracking issue ); in the meantime, the best resource is the Python bindings' test suite . Directory Registry trustfall is a façade crate. This is the preferred way to use Trustfall. trustfall_core contains the query engine internals trustfall_derive defines macros that simplify plugging in data sources. pytrustfall contains Trustfall's Python bindings trustfall_wasm is a WASM build of Trustfall trustfall_filetests_macros is a procedural macro used to generate test cases defined by files: they ensure that the function under test, when given an input specified by one file, produces an output equivalent to the contents of another file. experiments contains various experimental projects such as the Trustfall web playground . Copyright 2022-present Predrag Gruevski. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. The present date is determined by the timestamp of the most recent commit in the repository. By accessing, and contributing code, comments, or issues to this repository, you are agreeing that all your contributions may be used, modified, copied, and/or redistributed under any terms chosen by the original author and/or future maintainers of this project.

A query engine for any combination of data sources. Query your files and APIs as if they were databases!

javascript,python,query-language,rust,wasm

projectdiscovery/uncover

Quickly discover exposed hosts on the internet using multiple search engines. Features • Installation • Usage • Configuration • Running Uncover • Join Discord uncover is a go wrapper using APIs of well known search engines to quickly discover exposed hosts on the internet. It is built with automation in mind, so you can query it and utilize the results with your current pipeline tools. Features Query multiple search engine at once Available Search engine support Shodan Censys FOFA Hunter Quake Zoomeye Netlas CriminalIP PublicWWW HunterHow Google Multiple API key input support Automatic API key randomization stdin / stdout support for input Installation Instructions uncover requires go1.21 to install successfully. Run the following command to get the repo - sh go install -v github.com/projectdiscovery/uncover/cmd/uncover@latest Usage sh uncover -h This will display help for the tool. Here are all the flags it supports: ```console Usage: ./uncover [flags] Flags: INPUT: -q, -query string[] search query, supports: stdin,file,config input (example: -q 'example query', -q 'query.txt') -e, -engine string[] search engine to query (shodan,shodan-idb,fofa,censys,quake,hunter,zoomeye,netlas,criminalip,publicwww,hunterhow,google) (default shodan) SEARCH-ENGINE: -s, -shodan string[] search query for shodan (example: -shodan 'query.txt') -sd, -shodan-idb string[] search query for shodan-idb (example: -shodan-idb 'query.txt') -ff, -fofa string[] search query for fofa (example: -fofa 'query.txt') -cs, -censys string[] search query for censys (example: -censys 'query.txt') -qk, -quake string[] search query for quake (example: -quake 'query.txt') -ht, -hunter string[] search query for hunter (example: -hunter 'query.txt') -ze, -zoomeye string[] search query for zoomeye (example: -zoomeye 'query.txt') -ne, -netlas string[] search query for netlas (example: -netlas 'query.txt') -cl, -criminalip string[] search query for criminalip (example: -criminalip 'query.txt') -pw, -publicwww string[] search query for publicwww (example: -publicwww 'query.txt') -hh, -hunterhow string[] search query for hunterhow (example: -hunterhow 'query.txt') -gg, -google string[] search query for google (example: -google 'query.txt') CONFIG: -pc, -provider string provider configuration file (default "$CONFIG/uncover/provider-config.yaml") -config string flag configuration file (default "$CONFIG/uncover/config.yaml") -timeout int timeout in seconds (default 30) -rl, -rate-limit int maximum number of http requests to send per second -rlm, -rate-limit-minute int maximum number of requests to send per minute -retry int number of times to retry a failed request (default 2) OUTPUT: -o, -output string output file to write found results -f, -field string field to display in output (ip,port,host) (default "ip:port") -j, -json write output in JSONL(ines) format -r, -raw write raw output as received by the remote api -l, -limit int limit the number of results to return (default 100) -nc, -no-color disable colors in output DEBUG: -silent show only results in output -version show version of the project -v show verbose output ``` Using uncover as library Example of using uncover as library is provided in examples directory. Provider Configuration The default provider configuration file should be located at $CONFIG/uncover/provider-config.yaml and has the following contents as an example. Note : API keys are required and must be configured before running uncover. yaml shodan: - SHODAN_API_KEY_1 - SHODAN_API_KEY_2 censys: - CENSYS_API_ID_1:CENSYS_API_SECRET_1 - CENSYS_API_ID_2:CENSYS_API_SECRET_2 fofa: - FOFA_EMAIL_1:FOFA_KEY_1 - FOFA_EMAIL_2:FOFA_KEY_2 quake: - QUAKE_TOKEN_1 - QUAKE_TOKEN_2 hunter: - HUNTER_API_KEY_1 - HUNTER_API_KEY_2 zoomeye: - ZOOMEYE_API_KEY_1 - ZOOMEYE_API_KEY_2 netlas: - NETLAS_API_KEY_1 - NETLAS_API_KEY_2 criminalip: - CRIMINALIP_API_KEY_1 - CRIMINALIP_API_KEY_2 publicwww: - PUBLICWWW_API_KEY_1 - PUBLICWWW_API_KEY_2 hunterhow: - HUNTERHOW_API_KEY_1 - HUNTERHOW_API_KEY_2 google: - GOOGLE_API_KEY_1:Google_API_CX_1 - GOOGLE_API_KEY_2:Google_API_CX_2 When multiple keys/credentials are specified for same provider in the config file, random key will be used for each execution. alternatively you can also set the API key as environment variable in your bash profile. yaml export SHODAN_API_KEY=xxx export CENSYS_API_ID=xxx export CENSYS_API_SECRET=xxx export FOFA_EMAIL=xxx export FOFA_KEY=xxx export QUAKE_TOKEN=xxx export HUNTER_API_KEY=xxx export ZOOMEYE_API_KEY=xxx export NETLAS_API_KEY=xxx export CRIMINALIP_API_KEY=xxx export PUBLICWWW_API_KEY=xxx export HUNTERHOW_API_KEY=xxx export GOOGLE_API_KEY=xxx export GOOGLE_API_CX=xxx Required API keys can be obtained by signing up on following platform Shodan , Censys , Fofa , Quake , Hunter , ZoomEye , Netlas , CriminalIP , Publicwww and Google [1] , [2] . Running Uncover Default run: uncover supports multiple ways to make the query including stdin or q flag, as default shodan engine is used for search if no engine is specified. ```console echo 'ssl:"Uber Technologies, Inc."' | uncover __ _ _ _ _ _ / / / / __ \/ / __ \ | / / _ \/ / / / / / / / / / / / / / |/ / __/ / _ , / / / /___/____/|___/___/ / v0.0.9 projectdiscovery.io [WRN] Use with caution. You are responsible for your actions [WRN] Developers assume no liability and are not responsible for any misuse or damage. [WRN] By using uncover, you also agree to the terms of the APIs used. 107.180.12.116:993 107.180.26.155:443 104.244.99.31:443 161.28.20.79:443 104.21.8.108:443 198.71.233.203:443 104.17.237.13:443 162.255.165.171:443 12.237.119.61:443 192.169.250.211:443 104.16.251.50:443 ``` Running uncover with file input containing multiple search queries per line. ```console cat dorks.txt ssl:"Uber Technologies, Inc." title:"Grafana" ``` ```console uncover -q dorks.txt __ _ _ _ _ _ / / / / __ \/ / __ \ | / / _ \/ / / / / / / / / / / / / / |/ / __/ / _ , / / / /___/____/|___/___/ / v0.0.9 projectdiscovery.io [WRN] Use with caution. You are responsible for your actions [WRN] Developers assume no liability and are not responsible for any misuse or damage. [WRN] By using uncover, you also agree to the terms of the APIs used. 107.180.12.116:993 107.180.26.155:443 104.244.99.31:443 161.28.20.79:443 104.21.8.108:443 198.71.233.203:443 2607:7c80:54:3::74:3001 104.198.55.35:80 46.101.82.244:3000 34.147.126.112:80 138.197.147.213:8086 ``` Single query against multiple search engine uncover supports multiple search engine, as default shodan is used, -e flag can be used to run same query against any or all search engines. ```console echo jira | uncover -e shodan,censys,fofa,quake,hunter,zoomeye,netlas,criminalip __ _ _ _ _ _ / / / / __ \/ / __ \ | / / _ \/ / / / / / / / / / / / / / |/ / __/ / _ , / / / /___/____/|___/___/ / v0.0.9 projectdiscovery.io [WRN] Use with caution. You are responsible for your actions [WRN] Developers assume no liability and are not responsible for any misuse or damage. [WRN] By using uncover, you also agree to the terms of the APIs used. 176.31.249.189:5001 13.211.116.80:443 43.130.1.221:631 192.195.70.29:443 52.27.22.181:443 117.48.120.226:8889 106.52.115.145:49153 13.69.135.128:443 193.35.99.158:443 18.202.109.218:8089 101.36.105.97:21379 42.194.226.30:2626 ``` Multiple query against multiple search engine ``console uncover -shodan 'http.component:"Atlassian Jira"' -censys 'services.software.product= Jira`' -fofa 'app="ATLASSIAN-JIRA"' -quake 'Jira' -hunter 'Jira' -zoomeye 'app:"Atlassian JIRA"' -netlas 'jira' -criminalip 'Jira' __ _ _ _ _ _ / / / / __ \/ / __ \ | / / _ \/ / / / / / / / / / / / / / |/ / __/ / _ , / / / /___/____/|___/___/ / v0.0.9 projectdiscovery.io [WRN] Use with caution. You are responsible for your actions [WRN] Developers assume no liability and are not responsible for any misuse or damage. [WRN] By using uncover, you also agree to the terms of the APIs used. 104.68.37.129:443 162.222.160.42:443 34.255.84.133:443 52.204.121.166:443 23.198.29.120:443 136.156.180.95:443 54.194.233.15:443 104.117.55.155:443 149.81.4.6:443 54.255.218.95:443 3.223.137.57:443 83.228.124.171:443 23.202.195.82:443 52.16.59.25:443 18.159.145.227:443 104.105.53.236:443 ``` Shodan-InternetDB API uncover supports shodan-internetdb API to pull available ports for given IP/CIDR input. shodan-idb used as default engine when IP/CIDR is provided as input, otherwise shodan search engine is used. ```console echo 51.83.59.99/24 | uncover __ _ _ _ _ _ / / / / __ \/ / __ \ | / / _ \/ / / / / / / / / / / / / / |/ / __/ / _ , / / / /___/____/|___/___/ / v0.0.9 projectdiscovery.io [WRN] Use with caution. You are responsible for your actions [WRN] Developers assume no liability and are not responsible for any misuse or damage. [WRN] By using uncover, you also agree to the terms of the APIs used. 51.83.59.1:53 51.83.59.1:10000 51.83.59.2:53 51.83.59.3:25 51.83.59.3:80 51.83.59.3:389 51.83.59.3:443 51.83.59.3:465 51.83.59.3:587 51.83.59.3:993 ``` Field Format -f, -field flag can be used to indicate which fields to return, currently, ip , port , and host are supported and can be used to return desired fields. ```console uncover -q jira -f host -silent ec2-44-198-22-253.compute-1.amazonaws.com ec2-18-246-31-139.us-west-2.compute.amazonaws.com tasks.devrtb.com leased-line-91-149-128-229.telecom.by 74.242.203.213.static.inetbone.net ec2-52-211-7-108.eu-west-1.compute.amazonaws.com ec2-54-187-161-180.us-west-2.compute.amazonaws.com 185-2-52-226.static.nucleus.be ec2-34-241-80-255.eu-west-1.compute.amazonaws.com ``` Field Formatting uncover has a -f, -field flag that can be used to customize the output format. For example, in the case of uncover -f https://ip:port/version , ip:port will be replaced with results in the output while keeping the format defined, It can also be used to specify a known scheme/path/file in order to prepare the output so that it can be immediately passed as input to other tools in the pipeline. ```console echo kubernetes | uncover -f https://ip:port/version -silent https://35.222.229.38:443/version https://52.11.181.228:443/version https://35.239.255.1:443/version https://34.71.48.11:443/version https://130.211.54.173:443/version https://54.184.250.232:443/version ``` Output of uncover can be further piped to other projects in workflow accepting stdin as input, for example: uncover -q example -f ip | naabu - Runs naabu for port scanning on the found host. uncover -q title:GitLab | httpx - Runs httpx for web server probing the found result. uncover -q 51.83.59.99/24 | httpx - Runs httpx on host/ports obtained from shodan-internetdb. ```console uncover -q http.title:GitLab -silent | httpx -silent https://15.185.150.109 https://139.162.137.16 https://164.68.115.243 https://135.125.215.186 https://163.172.59.119 http://15.236.10.197 https://129.206.117.248 ``` uncover -q 'org:"Example Inc."' | httpx | nuclei - Runs httpx / nuclei for vulnerability assessment. Notes: keys/ credentials are required to configure before running or using this project. query flag supports all and only filters supported by search engine. results are limited to 100 as default and can be increased with limit flag. shodan-idb API doesn't requires an API key and works out of the box. shodan-idb API is used as default engine when IP/CIDR is provided as input. **uncover** is made with 🖤 by the [projectdiscovery](https://projectdiscovery.io) team.

Quickly discover exposed hosts on the internet using multiple search engines.

asm,attack-surface,bugbounty,cli,osint,recon,reconnaissance

italiaremote/awesome-italia-remote

Awesome Italia Remote A list of 342 remote-friendly or full-remote companies that targets Italian talents. Companies can be both based in Italy or around the world but with operations in Italy. Please read the contribution guidelines before opening a pull request or contributing to this repository. Web View https://italiaremote.com/companies Built and maintained by Alessandro Marino Edoardo Costantini Legenda Remote Policies Label | Meaning --- | --- Full | Company doesn't have physical offices, so you'll always work remotely. Hybrid | Company allows remote but only for some days. Optional | Company allows you to choose when work remotely or in office, but can ask you to go sometimes. Hiring Policies Label | Meaning --- | --- Direct | Company is hiring directly with a legal entity in Italy. Contract | Company is hiring contractors in Italy, VAT Number is required. Intermediary | Company is hiring using a payroll intermediary in Italy. Companies sorted by remote policies Full Software and Cloud Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- 20tab | Career Page | Consulting | Direct | AWS - DevOps - Docker - Django - Firebase - Flutter - Kubernetes - PostgreSQL - Python - React - React Native - Redux - Terraform - TypeScript 3Bee | Career Page | Product | Direct | React - Django - AWS - IoT 5w155 | Career Page | Consulting | Contract | React - Node.js - Python - Java Bhlack Srl | Career Page | Product | Direct | Ruby On Rails - Javascript - React - nextjs - shopify Extendi | Career Page | B2B | Contract | Ruby on rails - React Native - Node.js - Python - Javascript/Typescript - Kubernetes - React - AWS Advigator | Career Page | Product | Direct | Ruby On Rails AI Maid Help | Career Page | Product | Direct | AI - Python Aicof | Career Page | B2B | Direct | Java - Spring Boot - .NET - Angular - Kubernetes AIKO - Infinite ways to autonomy | Career Page | Product | Direct | Aerospace - AI Aiven | Career Page | Product | Direct | AWS - GCP - Python - PostgreSQL - Kafka - Databases Amazon | Career Page | Product | Direct | Java - Python - C - Linux - Kernel - Clojure Billding | Career Page | Product | Direct | PostgreSQL - Golang - AWS - Typescript - React Native - React BitBull | Career Page | Consulting | Direct | Magento - Shopify - JavaScript - PHP - Node - AWS - Terraform - Serverless - Vue.js - Nuxt.js Bitrock | Career Page | Consulting | Direct | React - Vue - Java - IOS - Python - Ruby - Scala - GO - SQL Bobsled | Career Page | Product | Intermediary | JavaScript - TypeScript - React - Remix - Firebase - Node.js - AWS - GCP - Azure - Snowflake - Databricks - Terraform - Serverless BonusX | Career Page | Product | Direct | Node - Javascript - Typescript Brave | Career Page | Product | - | React - Svelte - Python - Go Breadcrumbs | Career Page | Product | Direct | AWS - Machine Learning - PHP - Python - React - TypeScript Buzzoole | Career Page | Product | Direct | PHP - Go - AWS - React - MongoDB - ElasticSearch Calton | Career Page | Product | Direct | AI - Python - AWS Canonical | Career Page | Product | Contract | Python - Go - OpenStack - Kubernetes Capbase | Career Page | B2B | Intermediary | Casavo | Career Page | Product | Direct | Elixir - CQRS Event-driven architectures - Python - Next.js - React - Android - iOS - Terraform - AWS - Kubernetes - Kotlin Claranet Italia | Career Page | Consulting | Contract - Direct | AWS - Serverless - Terraform - PHP - NodeJs - Javascript - TypeScript - React - Angular - Java - Kotlin - Android - iOS - Python - .NET - Mobile Apps - UI/UX Design coders51 | Career Page | Consulting | Direct - Contract | Elixir/Erlang - Javascript/Typescript - Node.js/React - RabbitMQ - Kafka - GCP - AWS - Docker - Kubernetes - Terraform - Test Driven Development - Microservice - Event Driven Architecture - EventStorming - Continuous Delivery - Functional Programming - Domain-Driven Design CodicePlastico | Career Page | Consulting | Direct | .NET - Node.js - Elixir - Angular - React - Azure - Kubernetes - Figma - RabbitMQ - MongoDb - PostgreSQL Collabora Ltd. | Career Page | Consulting | Contract | Vulkan - Rust - Python - Open Source - Multimedia - Mesa - Linux - Kubernetes - Kernel - Go - GStreamer - Embedded - DevOps - Debian - Continuous Integration - C/C++ Coverflex Italia | Career Page | Product | Direct | Javascript - Typescript - AWS - JAVA - Elixir Daito Solutions | Career Page | Product | Direct | .NET - C# - AWS - Elastic - RabbitMQ - Ecommerce Deel | Career Page | Product | Contract | Javascript - React - Node.js - AWS - PostgreSQL Digital Science | Career Page | Product | Contract | Python - Rust - TypeScript - JavaScript Docebo | Career Page | Product | Direct | AWS - Terraform - Node.js - Angular - PHP DonQ | Career Page | B2B | Contract - Direct | Node - TypeScript - AWS - PHP - Laravel - Magento - React Native - GraphQL - OpenAI - LLama - Terraform - Cloudflare - Docker doubleloop | Career Page | Consulting | Direct - Contract | Javascript/Typescript - Node.js/React - Java/Maven - C#/.NET - AWS - Terraform - Docker - MongoDB - EventStorming - Continuous Delivery - Functional Programming - Domain-Driven Design DuckDuckGo | Career Page | Consulting | - | TypeScript - JavaScript - MacOS - iOS - Android Elastic | Career Page | Product | Direct | Go - Cloud - Scala - OpenStack ELEVA | Career Page | Consulting | Direct | Cloud Native - AWS - Serverless - Node.js - IaC - React - React Native - Javascript - PHP - Symfony - UX/UI Elfo | Career Page | B2B | Direct - Contract | .NET - C# - ASP.NET Core - JavaScript - TypeScript - HTML - CSS - SQL Server - Vue - Azure - DDD - CQRS - DevOps Empatica | Career Page | Product | Direct | AWS - GCP - Kubernetes - Docker - Cloud-native - DevOps - DataOps - GitOps - SecOps - Python - Typescript - Terraform - Security - Go - React Enhancers | Career Page | Consulting | Direct | NodeJS - Typescript - AWS Cloud - React Native - PostgreSQL - Javascript - MQTT - Redux Ernesto | Career Page | Product | Direct | Java - Javascript - Git - Maven - Tomcat - Kibana - NginxPlus ETIQA srl | Career Page | Consulting | Direct | NodeJS - Typescript - Python - Javascript - ReactJS - AWS Cloud - Headless CMS - Scrum Everli | Career Page | Product | Direct | Laravel - Python - MySQL - Elasticsearch - RabbitMQ - Redis - Vue.js - Kotlin - Swift - AWS - Docker Faberbee | Career Page | Product | Direct | Blockchain - Java - Node.js - Angular - TypeScript - Kubernetes - GCP FACEIT | Career Page | Product | Contract | React - Typescript - Go Fastcode | Career Page | Consulting | Direct - Contract | .NET - C# - Asp.NET - JAVA - Spring - Javascript - Typescript - Angular - SQL - NoSQL - Azure - DevOps - Docker - Android - Kotlin - iOS - Swift - Xamarin - Flutter Fastloop | Career Page | Consulting | Direct - Contract | Business Analyst - Content Design - AWS - Javascript/Typescript - Flutter - Node.js/React - Terraform - Docker - Continuous Delivery - Organization Design - QA - UAT - Functional Testing - User Research - Interaction Design - Brand Identity - Application Maintenance - UI Design - UX Design Fiscozen | Career Page | Product | Direct | JavaScript - TypeScript - PostgresQL - Python - Vue FourTheorem | Career Page | Consulting | - | AWS - Cloud Computing - Node.js - Python Frontiers Media | Career Page | B2B | Direct | Azure - GCP - Python - C# - BigQuery - SQL - Kafka - Spark - Docker - K8s Gamindo | Career Page | Product | Direct | PHP - React - React Native - TypeScript - Vue.js - MySQL GeoDataLab | Career Page | Consulting | Direct | GIS - Java - Angular - Spring - Hibernate - Geonode - GeoServer - MapStore - Python - Django - Javascript - AWS - Docker - Kubernetes - PostgreSQL - Oracle - MySQL - React - Ionic - Node Getir | Career Page | Product | - | iOS - Android - Node.js - Go - Java Giant Swarm | Career Page | Product | Contract - Intermediary | Kubernetes - Go - AWS - Azure - GCP - Openstack - VMWare - DevOps - Cloud Native - Security Gipo - Ianiri Informatica | Career Page | Product | Direct | .NET - Angular - Azure - Docker - DDD - DevOps Gitlab | Career Page | Product | Intermediary | Ruby - Ruby On Rails HACKERSGEN | Career Page | Consulting | Direct | Online Trainings - DevOps - Linux - FullStackDev - Cloud - CyberSec Hakuna | Career Page | Product | Intermediary | React - Typescript - Node.js - Serverless - AWS - EventStorming - Functional Programming - Domain-Driven Design Hasura | Career Page | Product | Contract | Haskell - React - TypeScript Heritage Holdings | Career Page | Product | Direct | Typescript - Node - React Heveloon | Career Page | Consulting | Contract | React - Flutter - AWS - IoT - Swifth - Kotlin - Node.js - Solidity hlpy | Career Page | Product | Direct | Vue.js - Flutter - Python - PostgreSQL - GIS - Kubernetes - ElasticSearch - AWS - Terraform - Machine Learning Hopper | Career Page | Product | Intermediary | Scala - Kubernetes - Terraform Hotjar | Career Page | Product | - | AWS - Kubernetes - Terraform - Python - React Hyland | Career Page | Product | Direct | Java - Typescript - AWS - .NET Ignite | Career Page | Product | Direct | Blockchain - Cosmos - Go - JavaScript - Vue - Typescript - Kubernetes Imola Informatica | Career Page | Consulting | Direct | Java - Javascript - Angular IN4IT | Career Page | Consulting | Contract | AWS - Cloud - Go - Migrations - Terraform - Kubernetes - Docker InfinitasLearning | Career Page | Product | Direct | Javascript - Typescript - Node - React - MongoDB - PosgtgreSQL - Redis - GraphQL - Cloudflare - Azure - K8s - Terraform - Python - Git Innoteam | Career Page | Consulting | Direct | AWS - Kubernetes - JavaScript - Python - React - TypeScript Innovyou | Career Page | B2B | Direct | Odoo - Bitcoin - Python - NodeJS - Javascript - Angular - React - Django - Docker - Postgres Intent | Career Page | B2B | Contract | iOS - Android - IoT - AWS - Node.js - Flutter - JavaScript - Swift - Kotlin - React Native Intergiro | Career Page | Product | Intermediary - Contract | GCP - JavaScript - Kubernetes - Fintech InTribe | Career Page | Product | Direct | Python - Data Intelligence InvestSuite | Career Page | Product | Direct | Python - Scala - Flutter - TypeScript - Node - AWS - Azure - Terraform iubenda | Career Page | Product | Direct | Python - SQL - Ruby - MongoDB Jagaad | Career Page | B2C | Direct | API Integrations - AWS - Docker - Figma - Flutter - Go - Java - JavaScript - Magento - Mobile Apps - NextJS - Node - PHP - PostgreSQL - PrestaShop - React - Sitecore - Strapi - TypeScript - Vue Jet HR | Career Page | Product | Direct - Contract | Python - Django - Django REST framework - JavaScript - Vue.js - AWS - Figma - Notion Juni | Career Page | Product | Intermediary | Javascript - Typescript - React - React Native - Go - Kafka - Docker - Kubernetes - AWS - gRPC Kiratech S.p.A. | Career Page | B2B | Direct | Cloud Native - Consultancy - Kubernetes - DevOps - Software Development - Cloud Native Technologies - Platform Engineering Klondike | Career Page | B2B | Direct | PHP - Javascript - Python KPI6 | Career Page | Product | Direct | Node - Mysql - Python - NoSql - AWS lastminute.com | Career Page | Product | Direct | Android - AWS - iOS - Java - Kotlin - Kubernetes - Go - Python - React - React Native - TypeScript Learnn | Career Page | Product | Direct | Javascript LightCode | Career Page | Consulting | Direct - Contract | .NET - Blazor - Angular - TDD/BDD - Clean Architecture - Azure - OpenAI - Cloud Native - SQLServer Lualtek | Career Page | Product | Direct | Python - MongoDB Macai | Career Page | Product | Direct | AWS - Serverless - DynamoDB - CDK - CQRS Event-driven architectures - Go - Node.js - TypeScript - fp-ts - React - React Native - Android - iOS - CI/CD - LocalStack - Docker - Python - Machine Learning - Serverless Big Data - Kanban Madisoft | Career Page | Product | Direct | AWS - PHP - React Managed Designs S.r.l. | Career Page | Consulting | Direct | Consulting company - Cloud Medicilio | Career Page | B2C | Direct | Python - Django - Javascript - Go - REST API - React.js - Vue.js - PostgreSQL - Typescript - Docker - AWS Meritocracy | Career Page | Product | Direct | React - JavaScript - Java - Node - NoSQL - Elasticsearch - GO - SQL Meta | Career Page | | Direct | C - Linux - Kernel - Rust Mia Burton | Career Page | B2C | Direct | NodeJS - Go - VueJs - TypeScript - NuxtJS - AWS - MongoDB - MariaDB - Redis Microsoft | Career Page | Product | Direct | Azure - C - Linux - Kernel - C# - SAP - TypeScript Miinto | Career Page | B2C | Direct | Vue.js IMQ Minded Security | Career Page | Consulting | Direct | Security - Pentest - Code Review Nama Studio | Career Page | Consulting | Contract | Shopify - JavaScript NearForm | Career Page | Consulting | Direct | Node.js - React - AWS - GCP - Kubernetes nebulab | Career Page | Consulting | Contract | React - Ruby on Rails Netlify | Career Page | Product | Contract | AWS - JavaScript - Go - Node - React - Ruby Newesis Srl | Career Page | Consulting | Direct | Azure - AWS - GCP - Alibaba Cloud - Terraform - IaC - Kubernetes - Docker - Cloud-native - CICD - Helm - DevOps - GitOps - GitHub - GitLab Nibol | Career Page | Product | Direct - Contract | React.js - Node.js - JavaScript - Flutter - AWS - Figma - Notion NotOnlyDesk | Career Page | Product | Direct | Javascript OfCourseMe | Career Page | Product | Direct | PHP - Vue - Docker - AWS Onlytech Industries | Career Page | B2C | Direct | Blockchain Outfittery | Career Page | Product | Intermediary | Java - Kotlin - Python - Javascript - Kubernetes - Microservices - Airflow - Data Science - Machine Learning - Data Engineering - AWS - Navision - Scrum Pack | Career Page | Product | Direct | E-learning - Javascript Patchai | Career Page | Product | Direct | AWS - Kubernetes - Go - Node.js - Flutter - Dart - Python - Terraform Pexels | Career Page | Product | Contract | Javascript - TypeScript - React - Ruby On Rails Pinv | Career Page | Product | Direct | Node.js - React - TypeScript Polaris Engineering spa | Career Page | Product | Direct | Kotlin - Java - AWS - Angular - Python - Kafka - Kubernetes - Docker - Matlab POPGuide | Career Page | Product | Direct | Heroku - PostgreSQL - Ruby - Elixir - Kotlin - Swift Prima | Career Page | Product | Direct | AWS - Kubernetes - Rust - Elixir - Android - iOS - Elm - React - PHP - Python - Spark - Machine Learning - RabbitMQ - CQRS - DDD - Pulumi - Security Primer | Career Page | Product | - | Javascript - Typescript - React - Python - AWS - Docker Qapla' Tracking=Marketing | Career Page | Product | Direct | Ecommerce - PHP Qredo | Career Page | Product | Intermediary | Blockchain - Ethereum - Bitcoin - Cosmos - Go Radical Storage | Career Page | Product | Contract | Go - AWS - React - Docker - Kubernetes - Terraform - DDD Remote Control Family | Career Page | Product | Direct | C# - C++ - Unity - Unreal - AWS - Terraform - Kubernetes - Docker Red Hat | Career Page | Product | Direct | AWS - Java - Python - Go - C - Linux - Kernel - OpenShift Refactory | Career Page | B2B | Direct | PHP - Symfony - Yii - JS - TypeScript - Vue - AWS Remotamente S.r.l. | Career Page | Consulting | Direct | NodeJS - React - AWS - Fullstack - JavaScript Remote | Career Page | Product | Direct | React.js - JavaScript - Elixir Searchmetrics | Career Page | B2B | Contract | ShopFully | Career Page | Product | Contract | PHP - React - React Native - Node.js - Docker - AWS - Serverless - MySQL Shopify | Career Page | Product | - | Ruby - Go - Python - React - Kubernetes SIGHUP | Career Page | Product | Direct | Go - Typescript - Python - Docker - Terraform - Kubernetes SMACE | Career Page | B2B | Direct | PHP - Bootstrap - Jquery SORINT.lab | Career Page | Consulting | Direct | FullStackDev - DevOps - AWS - GCP - Azure - Linux - Opensource - Kubernates - OpenShift - Automation - Oracle SORINT.OSS | Career Page | Consulting | Direct | Open Source development - Agola - Ercole - Stolon - SYNwall Space Heroes - Clayton | Career Page | Product | Contract | AWS - React - Typescript - Next.js - Java - Spring Boot - PostgreSQL SparkFabrik | Career Page | Consulting | Direct | AWS - GCP - Alibaba Cloud - Kubernetes - Docker - Cloud-native - DevOps - GitOps - PHP - TypeScript - JS - Go - Drupal - Laravel - Symphony - Angular - React - React Native Spreaker | Career Page | Product | - | PHP - Node.js - AWS - Kubernetes - Serverless SQLite Cloud | Career Page | Product | Contract | C - C++ - Go - Rust - WASM - Node.js - Next.js - AWS - React - Docker Stellantis | Career Page | Product | Direct | Scala - DevOps - AWS - Kubernetes - Python - Go Storeis | Career Page | B2B | Direct | Ecommerce storyteq | Career Page | Product | Direct | JavaScript - Vue - Node - NestJS - Express - RabbitMQ Superlayer | Career Page | Product | - | Go - Terraform - AWS - PostgreSQL - HTMX SUSE | Career Page | Product | Direct | Linux - Go - Rust - Java Switcho | Career Page | Product | Direct | PostgreSQL - Kubernetes - GCP - PHP - Typescript - React Native - Vue - React THE I | Career Page | Consulting | Direct | AWS - Azure - Cloud Native Technologies - Terraform - DevOps - Kubernetes - CyberSecurity - Node.js - Python - Go TLM Partners | Career Page | Product | - | UnrealEngine Treatwell | Career Page | Product | Direct | TypeScript - Java - Ruby - React - TDD - DDD UNGUESS | Career Page | Product | Direct | AWS - Node.js - TypeScript - React - DevOps - Databases - PHP Userbot | Career Page | Product | Direct | Node.js - Javascript - Typescript - PHP - Vue.js - Gearman - Memcached - AWS - MySQL - Nginx - Python - Natural Language Processing - Deep Learning - Git - GitLab Veed.io | Career Page | B2C | Direct | React - C++ - Python - TypeScript VLK Studio | Career Page | Consulting | Direct | JavaScript - TypeScript - React - React Native - Node.js - Open source - Full remote - .NET - morfeojs - nocode VMWare | Career Page | Product | Direct | Cloud - Java - RabbitMQ VoipVoice | Career Page | Product | Direct | - Wave | Career Page | Product | - | Wavelop | Career Page | Consulting | Direct | Cloud - CI/CD - AWS Wikimedia Foundation | Career Page | Product | - | PHP - Java - Python - Go Wuerth Phoenix | Career Page | Product | Direct | Kubernetes - Red Hat OpenShift - Ansible - DevOps - DevSecOps - SRE - Rust - VueJS - Application Security - Red Teaming - Pentest - SOC - OSINT - Azure - AWS - Atlassian Zapier | Career Page | Product | - | React - Redux - Python - Django Zendesk | Career Page | Product | Direct | Android - AWS - Go - iOS - Java - JavaScript - Kafka - Kubernetes - Python - React - Scala - Terraform - Typescript Zaxtras | Career Page | Product | Direct | Java - React - Swift - Kotlin - PostgreSQL - Consul - Kafka - RabbitMQ - WebRTC - GraphQL Zupit | Career Page | Consulting | Direct | C# - .NET - Xamarin - Java - Spring Boot - Python - Django - Angular - Vue - React - Typescript - Docker Marketing and Writing Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- Black Pep | Career Page | Consulting | Direct | UX - UI - Ecommerce Ciaodino - Digital Evolution Agency | Career Page | Consulting | Direct | Digital Marketing - SEO - SEM Creative Harbour | Career Page | B2C | Direct | Angular - Java Disal Consulting | Career Page | Consulting | Direct | Marketing - Events DuckDuckGo | Career Page | Consulting | - | TypeScript - JavaScript - MacOS - iOS - Android Empatica | Career Page | Product | Direct | AWS - GCP - Kubernetes - Docker - Cloud-native - DevOps - DataOps - GitOps - SecOps - Python - Typescript - Terraform - Security - Go - React Everli | Career Page | Product | Direct | Laravel - Python - MySQL - Elasticsearch - RabbitMQ - Redis - Vue.js - Kotlin - Swift - AWS - Docker FBC | Career Page | B2C | Direct | Ecommerce Forestae | Career Page | B2B | Contract | Digital marketing - UX Frontiers Media | Career Page | B2B | Direct | Azure - GCP - Python - C# - BigQuery - SQL - Kafka - Spark - Docker - K8s Good Morning Italia | Career Page | B2C | Contract | Newsletter Gummy Industries | Career Page | B2B | Direct | Digital Marketing Hotjar | Career Page | Product | - | AWS - Kubernetes - Terraform - Python - React Hybrida Marketing | Career Page | B2B | Direct | Ecommerce - Digital marketing Innoleaps \| Business Builders | Career Page | B2B | Direct | Venture capital - Startup Builder Kopernicana | Career Page | B2B | Contract | Business Consulting Larin Group | Career Page | B2B | Contract | Digital marketing Loop Srl | Career Page | B2B | Contract | Ecommerce - Social Media Management Lucus | Career Page | B2B | Direct | Digital Marketing - Influencer Marketing Meta | Career Page | | Direct | C - Linux - Kernel - Rust Nenet | Career Page | B2B | Direct | Training - Coaching - Learning Next2Ad | Career Page | B2B | Direct | Ecommerce Officina Microtesti | Career Page | Consulting, B2B | Direct | UX Writing - Content design - Inclusive content - Accessible content - Information architecture Onoblo | Career Page | B2B | Contract | Business Marketing - Business Development Quindo \| Agenzia SEO | Career Page | B2B | Contract | SEO Agency Quiver Marketing | Career Page | B2B | Contract | Digital Marketing - Ecommerce Sensify | Career Page | B2B | Direct | Digital marketing - Consumer insights TextYess | Career Page | B2B | Direct | - TJ Taylor | Career Page | B2C | Contract | - TWOW | Career Page | B2B | Direct | - UNGUESS | Career Page | Product | Direct | AWS - Node.js - TypeScript - React - DevOps - Databases - PHP Up.00 brand with passion | Career Page | B2B | Contract | - Zendesk | Career Page | Product | Direct | Android - AWS - Go - iOS - Java - JavaScript - Kafka - Kubernetes - Python - React - Scala - Terraform - Typescript HR Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- Develhope | Career Page | B2C | Direct | HR - Bootcamp DuckDuckGo | Career Page | Consulting | - | TypeScript - JavaScript - MacOS - iOS - Android Jet HR | Career Page | Product | Direct - Contract | Python - Django - Django REST framework - JavaScript - Vue.js - AWS - Figma - Notion Meta | Career Page | | Direct | C - Linux - Kernel - Rust Nenet | Career Page | B2B | Direct | Training - Coaching - Learning Redlab - The Consultancy Solution | Career Page | B2B | Direct | Business Management Design and UX Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- Claranet Italia | Career Page | Consulting | Contract - Direct | AWS - Serverless - Terraform - PHP - NodeJs - Javascript - TypeScript - React - Angular - Java - Kotlin - Android - iOS - Python - .NET - Mobile Apps - UI/UX Design CodicePlastico | Career Page | Consulting | Direct | .NET - Node.js - Elixir - Angular - React - Azure - Kubernetes - Figma - RabbitMQ - MongoDb - PostgreSQL DuckDuckGo | Career Page | Consulting | - | TypeScript - JavaScript - MacOS - iOS - Android Exeen | Career Page | B2B | Contract | UX - Ecommerce Fastloop | Career Page | Consulting | Direct - Contract | Business Analyst - Content Design - AWS - Javascript/Typescript - Flutter - Node.js/React - Terraform - Docker - Continuous Delivery - Organization Design - QA - UAT - Functional Testing - User Research - Interaction Design - Brand Identity - Application Maintenance - UI Design - UX Design Hopper | Career Page | Product | Intermediary | Scala - Kubernetes - Terraform Hotjar | Career Page | Product | - | AWS - Kubernetes - Terraform - Python - React Intarget | Career Page | B2B | Direct | Design - UX - UI - 3D Intent | Career Page | B2B | Contract | iOS - Android - IoT - AWS - Node.js - Flutter - JavaScript - Swift - Kotlin - React Native Jagaad | Career Page | B2C | Direct | API Integrations - AWS - Docker - Figma - Flutter - Go - Java - JavaScript - Magento - Mobile Apps - NextJS - Node - PHP - PostgreSQL - PrestaShop - React - Sitecore - Strapi - TypeScript - Vue Jet HR | Career Page | Product | Direct - Contract | Python - Django - Django REST framework - JavaScript - Vue.js - AWS - Figma - Notion Koodit | Career Page | B2B | Direct | Digital Marketing - React - Wordpress Lotrek Digital Agency | Career Page | Consulting | Direct | Javascript - Typescript - Angular Meta | Career Page | | Direct | C - Linux - Kernel - Rust MIRAI BAY | Career Page | B2B | Direct | Digital Marketing - Mobile app Officina Microtesti | Career Page | Consulting, B2B | Direct | UX Writing - Content design - Inclusive content - Accessible content - Information architecture Patchai | Career Page | Product | Direct | AWS - Kubernetes - Go - Node.js - Flutter - Dart - Python - Terraform Superlayer | Career Page | Product | - | Go - Terraform - AWS - PostgreSQL - HTMX UNGUESS | Career Page | Product | Direct | AWS - Node.js - TypeScript - React - DevOps - Databases - PHP Zendesk | Career Page | Product | Direct | Android - AWS - Go - iOS - Java - JavaScript - Kafka - Kubernetes - Python - React - Scala - Terraform - Typescript Cybersecurity Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- 4Securitas | Career Page | Consulting | Direct | ACSIA Cleafy | Career Page | B2B | Direct | React - Java - Kotlin - Go Codezen | Career Page | Consulting | Direct | Rust - Go - Solidity - Blockchain - Cryptography - Distributed Systems Kiratech S.p.A. | Career Page | B2B | Direct | Cloud Native - Consultancy - Kubernetes - DevOps - Software Development - Cloud Native Technologies - Platform Engineering THE I | Career Page | Consulting | Direct | AWS - Azure - Cloud Native Technologies - Terraform - DevOps - Kubernetes - CyberSecurity - Node.js - Python - Go Wuerth Phoenix | Career Page | Product | Direct | Kubernetes - Red Hat OpenShift - Ansible - DevOps - DevSecOps - SRE - Rust - VueJS - Application Security - Red Teaming - Pentest - SOC - OSINT - Azure - AWS - Atlassian Hybrid Software and Cloud Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- Beliven | Career Page | B2B | Direct | PHP - Node - Vue.js - React - Angular - React Native - Docker - Kubernetes - Terraform Codemotion | Career Page | Product | Direct | Laravel - Vue.js - Azure - MongoDB Conio S.r.l. | Career Page | Product | Direct | Blockchain - Python - AWS - iOS - Android - React - TypeScript Cortilia | Career Page | Product | - | AWS - Java DevInterface | Career Page | Consulting | Direct | Ruby On Rails - Python - Django - Node.js - React - Go Doctolib | Career Page | Consulting | Contract | Rails - React - PostgreSQL - ElasticSearch Dscovr | Career Page | Product | Direct | AWS - AI/ML - Data Science - Python - UX - UI - PHP - Web Development - Typescript - Tailwindcss - Vue.js - Laravel - GraphQL - Terraform - Docker - Mixpanel DualBit | Career Page | Consulting | Direct | iOS - Swift - Android - Kotlin - Native Mobile Development - Python - Django - Vue.js - Docker - Kubernetes Ericsson | Career Page | B2B | Direct | Kubernetes - OpenStack - Docker - Linux - Python - Ansible Fabrick | Career Page | B2B | - | Typescript - Java - React - React Native - OracleSQL Flowe | Career Page | Product | Direct | Python - Databricks - Azure - .NET - C# - Kotlin - Swift Hudl | Career Page | B2B | Contract - Direct | AWS - C# - Docker - GraphQL - JavaScript - Python - React - React Native - Terraform - TypeScript Infovista | Career Page | Product | Direct | Kubernetes - Rancher - Istio - Docker - DevOps - Terraform - Prometheus - Go - C++ - Java - Quarkus - REST - JavaScript - Angular - Redis - Kafka Injenia | Career Page | B2B | Direct | Angular - Spring - GCP - AI - Machine Learning Intesys | Career Page | B2B | Direct | Java - Spring Boot - MongoDB - Kotlin - Android - iOS - Javascript/Typescript - Node.js/React - RabbitMQ - Kafka - AWS - Docker - Kubernetes - Terraform Luna Labs Srl | Career Page | B2B | Direct | PHP - Java - Angular - Vue - Node - Python - C# - .NET - iOS - Android - Docker - PostgreSQL - MySQL - Apache Solr - GitLab - DevOps - AI Mia-Platform | Career Page | Product | Direct | Kubernetes - DevOps - Cloud Native Technologies - TypeScript - Node.js - C# - Java - Kotlin - Go - Python - Rust Mobile Solutions Srl | Career Page | Product | Direct | PHP - SQL - Laravel - git - Docker - Svelte - JavaScript - TypeScript - Node.js - AI - Python Mostrum Srl | Career Page | B2B | Direct | Javascript - TypeScript - React - React Native - VueJs - NodeJs - Express - Electron - PHP - Laravel - AWS - DigitalOcean - Firebase - Docker - IoT - AR (Augmented Reality) - VR (Virtual Reality) - WebGl - ThreeJs Objectway | Career Page | Product | Direct | Java - Spring - Javascript - Typescript - Angular - Docker - Kubernetes - AWS Qintesi | Career Page | Consulting | Direct | SAP - GCP - Python - SQL Register S.p.A. | Career Page | Product | Direct | Java - PHP - React Sidea Group | Career Page | Consulting | Direct | Javascript - TypeScript - React - Angular - Wordpress - Magento - Salesforce Commerce Cloud Sysdig | Career Page | Product | Direct | Go - AWS - GCP - Node.js - TypeScript - React - Open Source - Kubernetes - Falco - Cloud - JavaScript - Machine Learning - Java - Prometheus Telepass | Career Page | Product | Direct | Cloud - GCP - AI - Data Science - UX - UI - Mobile Development - iOS - Android - Web Development - JavaScript - React - Java - Ruby - Swift - Kotlin TheFork | Career Page | Product | Direct | Node.js - React - TypeScript - GraphQL - Kotlin - Swift - AWS Thoughtworks | Career Page | Consulting | Direct | Java - JavaScript - Typescript - Python - C# - AWS - Docker - Kubernetes - Rust - Terraform - React Vcube | Career Page | Consulting | Direct | Ansible - Automation - Azure - DevOps - Docker - Elasticsearch - ELK - Jenkins - Kubernetes - Linux - Openshift - Terraform - VMware WeSchool | Career Page | Product | Direct - Contract | Javascript - React - Mobx - PHP - Symfony - Elasticsearch - AWS - EdTech YOOX NET-A-PORTER GROUP | Career Page | Product | Direct | iOS - Android - JavaScript - AWS - TypeScript - React - Node.js ZappyRent | Career Page | B2C | - | Node.js - React - AWS - Kubernetes Zucchetti S.p.A. | Career Page | Product | Direct | Ansible - Kubernetes - Java - PostgreSQL - Cloud Native - DevOps - Go - OpenShift - React - Linux - CI/CD - SQL Marketing and Writing Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- Lhub srl | Career Page | Consulting | Direct | Marketing - Agency Human Analytica | Career Page | Consulting | Direct | Luna Labs Srl | Career Page | B2B | Direct | PHP - Java - Angular - Vue - Node - Python - C# - .NET - iOS - Android - Docker - PostgreSQL - MySQL - Apache Solr - GitLab - DevOps - AI Thoughtworks | Career Page | Consulting | Direct | Java - JavaScript - Typescript - Python - C# - AWS - Docker - Kubernetes - Rust - Terraform - React HR Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- Luna Labs Srl | Career Page | B2B | Direct | PHP - Java - Angular - Vue - Node - Python - C# - .NET - iOS - Android - Docker - PostgreSQL - MySQL - Apache Solr - GitLab - DevOps - AI TUI | Career Page | | - | YOOX NET-A-PORTER GROUP | Career Page | Product | Direct | iOS - Android - JavaScript - AWS - TypeScript - React - Node.js Design and UX Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- Beliven | Career Page | B2B | Direct | PHP - Node - Vue.js - React - Angular - React Native - Docker - Kubernetes - Terraform Dscovr | Career Page | Product | Direct | AWS - AI/ML - Data Science - Python - UX - UI - PHP - Web Development - Typescript - Tailwindcss - Vue.js - Laravel - GraphQL - Terraform - Docker - Mixpanel Luna Labs Srl | Career Page | B2B | Direct | PHP - Java - Angular - Vue - Node - Python - C# - .NET - iOS - Android - Docker - PostgreSQL - MySQL - Apache Solr - GitLab - DevOps - AI Mostrum Srl | Career Page | B2B | Direct | Javascript - TypeScript - React - React Native - VueJs - NodeJs - Express - Electron - PHP - Laravel - AWS - DigitalOcean - Firebase - Docker - IoT - AR (Augmented Reality) - VR (Virtual Reality) - WebGl - ThreeJs Sysdig | Career Page | Product | Direct | Go - AWS - GCP - Node.js - TypeScript - React - Open Source - Kubernetes - Falco - Cloud - JavaScript - Machine Learning - Java - Prometheus Telepass | Career Page | Product | Direct | Cloud - GCP - AI - Data Science - UX - UI - Mobile Development - iOS - Android - Web Development - JavaScript - React - Java - Ruby - Swift - Kotlin Thoughtworks | Career Page | Consulting | Direct | Java - JavaScript - Typescript - Python - C# - AWS - Docker - Kubernetes - Rust - Terraform - React TUI | Career Page | | - | WeSchool | Career Page | Product | Direct - Contract | Javascript - React - Mobx - PHP - Symfony - Elasticsearch - AWS - EdTech YOOX NET-A-PORTER GROUP | Career Page | Product | Direct | iOS - Android - JavaScript - AWS - TypeScript - React - Node.js Cybersecurity Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- Infor srl SB | Career Page | B2B | Direct | Vulnerability Assessment - Penetration Testing - Hardware Security - IT Managed Services - Digital Transformation Luna Labs Srl | Career Page | B2B | Direct | PHP - Java - Angular - Vue - Node - Python - C# - .NET - iOS - Android - Docker - PostgreSQL - MySQL - Apache Solr - GitLab - DevOps - AI Telepass | Career Page | Product | Direct | Cloud - GCP - AI - Data Science - UX - UI - Mobile Development - iOS - Android - Web Development - JavaScript - React - Java - Ruby - Swift - Kotlin Zucchetti S.p.A. | Career Page | Product | Direct | Ansible - Kubernetes - Java - PostgreSQL - Cloud Native - DevOps - Go - OpenShift - React - Linux - CI/CD - SQL Optional Software and Cloud Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- Agile Lab | Career Page | Consulting | Direct | AWS - Spark - Scala - Java - Python - TypeScript - React AlgorandEurope | Career Page | Product | Direct | Blockchain - Go - JavaScript - Python - React - Typescript Alkemy | Career Page | Consulting | Direct | Magento - PHP - Javascript - React - Angular - Ionic - Python - Django - Java Alpian | Career Page | Product | Direct | Java - Kotlin - Spring Boot - Flutter - React - Go - Typescript - Dart - GCP - Docker - Kubernetes Aptus.AI | Career Page | Product | Direct | AWS - Python - TypeScript - 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React - Scala - Node.js - JavaScript - Java - Terraform - Azure - Kubernetes Palmabit | Career Page | Consulting | Direct | Node.js - React Native - React - Next.js - TypeScript - Jest - GraphQL - Docker - Kubernetes - Netlify Par-Tec | Career Page | Consulting | Direct | Linux - Opensource - GCP - OpenStack - Terraform - Ansible - Kubernetes - Openshift - Cloud-native - DevOps - GitOps - Python - Go PED | Career Page | Consulting | Direct | PHP - Symfony - Node.js - React.js - Vue.js - Flutter - React Native - AWS Pleo | Career Page | Product | Contract | Javascript - Typescript - React - React Native - Kotlin - Kubernetes - AWS - PostgreSQL Portchain | Career Page | Product | Contract | JavaScript - TypeScript - Node.js - React - Python - PostgreSQL - AWS - Heroku ProntoPro | Career Page | Product | Direct | PHP - Go - AWS - Terraform - Kubernetes Proxima Service srl - HOTELCUBE | Career Page | Product | Direct | .NET - C# - Angular - SQL server - PowerBI - Azure - DevOps Qonto | Career Page | Product | Direct | Go - Ruby - Python - EmberJS - Kotlin - Swift - Kubernetes - Terraform - AWS Rapsodoo Italia | Career Page | Consulting | Direct | Python - Javascript - Docker - GCP - AWS - Kubernetes - DevOps - Odoo - Terraform - Git - Cloud Native - OWL S2E - Solutions to Enterprises | Career Page | Consulting | Direct | Consulting - AWS - Python - ElasticSearch Serenis | Career Page | Product | Direct | Apollo GraphQL Federation - AWS - Docker - Jest - Kubernetes - NestJS - Node.js - React Native - React - TypeScript ShippyPro | Career Page | Product | Direct | AWS - Serverless - Kubernetes - EventBridge - PHP - React - TypeScript Softlab S.p.A. | Career Page | Consulting | Direct - Contract | JavaScript - TypeScript - React - Vue - Angular - NodeJS - Java - PHP - Spring Boot - Python - GCP - Kubernetes - Terraform - DevOps - Cloud Native - GraphQL - AWS - Data Science - Machine Learning SpazioDati | Career Page | Product | Direct | AWS - Data Science - Docker - Django - Elasticsearch - Go - JavaScript - 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GCP - Bitbucket TrueLayer | Career Page | B2B | Direct | Rust - C# - AWS - K8S TUI Musement | Career Page | Product | Direct | AWS - PHP - Go - C# - Java - Vue.js Tundr | Career Page | Product | Direct - Contract | Node - Go - Nest - React - Serverless - Microservices - Vue - TypeScript - Android - iOS - Flutter - AWS TXT Group | Career Page | B2B | Direct | C++ - C# - .NET - Microsoft Azure - DevOps - Javascript - Unity - Unreal - Aerospace - Fintech - Embedded Ulixe Group S.r.l. | Career Page | Consulting | Direct | Java - iOS - Android - .NET - Databases - Big Data - Angular Unitiva | Career Page | Consulting | Direct | AI - Angular - Blockchain - Flutter - Odoo - Plone - Python - React - TypeScript - UI Unobravo | Career Page | Product | Direct | TypeScript - JavaScript - React - GraphQL - AWS - Docker - Node.js Up2You Srl SB | Career Page | Product | Direct | PHP - Laravel - Vue JS - AWS - Blockchain Verizon Connect | Career Page | B2B | Direct | AWS - TypeScript - Angular - .NET - Python - Machine Learning - IoT - DevOps - Docker - PostgreSQL - iOS - Android WEGG - The Impact Factory | Career Page | Consulting | Contract | Angular - Azure - Consulting - Databases - DevOps - Java - Javascript - Linux - PHP - Powershell - Spring Boot - SQL - Windows Weiji | Career Page | Product | Direct | AWS - Cloud native - MongoDB - Node.js - Javascript - HTML - Phonegap - SCRUM - Bitbucket pipelines WeRoad | Career Page | Product | Direct | Node.js (Nest.js) - PHP (Laravel) - Vue (Nuxt.js) - GCP Whatwapp | Career Page | Product | Direct | Unity3D - C# - TypeScript - Nakama - iOS - Android - Mobile Gaming WorkWave | Career Page | Product | Direct | React.js - TypeScript - Java - Rust xFarm Technologies | Career Page | Product | Direct | Cloud - GCP - AWS - AI - Java - Micronaut - Grails - IoT - MongoDB - Cassandra - ElasticSearch - Redis - Mobile Development - Web Development Xriba | Career Page | Consulting | Direct | React.js - TypeScript - Node.js - Redux - .NET - Java Young Platform | Career Page | Product | Direct | Go - .NET Core 5 - AWS - GCloud - Kubernetes - C# - MSSQL - PostgreSQL - MongoDB ZuruTech | Career Page | Product | Direct | C++ - UnrealEngine - MacOS - Linux - Machine Learning Marketing and Writing Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- Agile Lab | Career Page | Consulting | Direct | AWS - Spark - Scala - Java - Python - TypeScript - React Belka | Career Page | Consulting | Direct | JavaScript - React - TypeScript BendingSpoons | Career Page | | Direct | BYTEK \| the martech of Datrix group | Career Page | B2B | Direct | marketing - AI - Python DigitalMakers | Career Page | B2B | Direct | Javascript - React.js - PHP - MySQL Neosperience | Career Page | B2B | Direct | AWS - Node - GraphQL - Kotlin - Python - Java - React - TypeScript - AI - Machine Learning - Data Science Softlab S.p.A. | Career Page | Consulting | Direct - Contract | JavaScript - TypeScript - React - Vue - Angular - NodeJS - Java - PHP - Spring Boot - Python - GCP - Kubernetes - Terraform - DevOps - Cloud Native - GraphQL - AWS - Data Science - Machine Learning Superfluid Team | Career Page | | - | HR Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- BIP | Career Page | Consulting | Direct | Cloud - GCP - AWS - Azure - AI - Data Science - UX - UI - BI - Mobile Development - Web Development Fitprime | Career Page | Product | Direct | React - NextJS - Typescript - Laravel - Swift - Java - PostgreSQL - TimeScale - MySQL - AWS - Agile - Wellbeing - HealthTech ZuruTech | Career Page | Product | Direct | C++ - UnrealEngine - MacOS - Linux - Machine Learning Design and UX Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- Belka | Career Page | Consulting | Direct | JavaScript - React - TypeScript BIP | Career Page | Consulting | Direct | Cloud - GCP - AWS - Azure - AI - Data Science - UX - UI - BI - Mobile Development - Web Development Cloud Academy | Career Page | Product | - | AWS - Django - GraphQL - Kotlin - Python - PostgresQL - React - TypeScript D/Vision Lab s.r.l. | Career Page | Consulting | Direct | Angular - Blender - Cornerstone.js - Django - Docker - Electron - JavaScript - Machine Learning - Node.js - Python - React - Three.js - TypeScript - VTK - Vue.js - WebGL Evologi | Career Page | Product | Direct | JavaScript - TypeScript - Node.js - PostgreSQL - MongoDB - Azure - Kubernetes - RabbitMQ - Angular - DevOps - Python Exibe | Career Page | Consulting | Contract | Laravel - PHP - Wordpress - WooCommerce - Flutter - Android - iOS - Vue - Livewire - Agile Development - JavaScript - TailwindCSS - SASS - Docker - Internet of Things - Arduino - ESP32 - CRM - Python - Figma Fifth Beat | Career Page | Consulting | Direct - Contract | Business Analyst - Content Design - AWS - Javascript/Typescript - Flutter - Node.js/React - Terraform - Docker - Continuous Delivery - Organization Design - QA - UAT - Functional Testing - User Research - Interaction Design - Brand Identity - Application Maintenance - UI Design - UX Design Immobiliare.it | Career Page | Product | Direct | Swift - Java - Kotlin - Sass - React - Node.js - PHP - Python - Go - GIS - RabbitMQ - Big Data - Machine Learning - OpenStack - Palo Alto Networks - Arista Networks - Kubernetes - Terraform - SaltStack - Ansible MailUp | Career Page | Product | - | Linux - Go - AWS - IaC - React - Angular - C# - Python Neosperience | Career Page | B2B | Direct | AWS - Node - GraphQL - Kotlin - Python - Java - React - TypeScript - AI - Machine Learning - Data Science Tundr | Career Page | Product | Direct - Contract | Node - Go - Nest - React - Serverless - Microservices - Vue - TypeScript - Android - iOS - Flutter - AWS Up2You Srl SB | Career Page | Product | Direct | PHP - Laravel - Vue JS - AWS - Blockchain WeRoad | Career Page | Product | Direct | Node.js (Nest.js) - PHP (Laravel) - Vue (Nuxt.js) - GCP Whatwapp | Career Page | Product | Direct | Unity3D - C# - TypeScript - Nakama - iOS - Android - Mobile Gaming ZuruTech | Career Page | Product | Direct | C++ - UnrealEngine - MacOS - Linux - Machine Learning Cybersecurity Name | Career Page | Company Type | Hiring Policy | Stack ------------ | ------- | ------- |---------------| ------- BIP | Career Page | Consulting | Direct | Cloud - GCP - AWS - Azure - AI - Data Science - UX - UI - BI - Mobile Development - Web Development Shielder | Career Page | B2B | Direct | Penetration Test - Security Research - Application Security - Red Teaming - Hardware Security Softlab S.p.A. | Career Page | Consulting | Direct - Contract | JavaScript - TypeScript - React - Vue - Angular - NodeJS - Java - PHP - Spring Boot - Python - GCP - Kubernetes - Terraform - DevOps - Cloud Native - GraphQL - AWS - Data Science - Machine Learning Contributors Made with contrib.rocks .

A list of remote-friendly or full-remote companies that targets Italian talents.

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ruilisi/fortune-sheet

FortuneSheet FortuneSheet is a drop-in javascript spreadsheet library that provides rich features like Excel and Google Sheets [](https://circleci.com/gh/ruilisi/fortune-sheet) [](https://snyk.io/test/github/ruilisi/fortune-sheet) [](https://github.com/umijs/father/) [](https://xiemala.com/) English | 简体中文 Purpose The goal of FortuneSheet is to make a feature-rich, easy-to-configure online spreadsheet that you can use out-of-the-box. This project is originated from Luckysheet and has inherited many code from it. Lots of efforts have done to translate the whole project to typescript (still in progress), and solved problems in the design of the original project. We aim to make FortuneSheet powerful yet easy to maintain. Communication Discord English community QQ Chinese community Xiemala Live demo Take a look at the live demo at fortune-sheet-demo Attention Before stable release of 1.0, input data structure and APIs may change during development. If you encounter errors after upgrading a version, check Changelog and Migration Guide . Improvements to Luckysheet Written fully in typescript. You can now use import / require to use the library. js import { Workbook } from '@fortune-sheet/react' Multiple instance on the same page is supported. Dropped jQuery dependency, uses native React / Vue + immer to manage the dom and state. Changed to a forked handsontable/formula-parser to handle formula calculations. Optimized the dom structure. Replaced icons from iconfont with SVGs, as iconfont icons are inconvenient to update for other maintainers. No visible elements is created outside container. Never stores data in the window object. Features Data structure is mostly compatible with Luckysheet (see Migration Guide ). Formatting : style, text alignment and rotation, text truncation, overflow, automatic line wrapping, multiple data types, cell segmentation style Cells : multiple selection, merge cells Row & column : insert, delete rows or columns Operation : copy, paste, cut, hot key Formulas & Functions : Built-in formulas Roadmap ✅ Support cooperative editing with backend storage. ✅ Support undo/redo. ✅ Mobile adaption. ✅ Expose APIs. ✅ Add tests. More basic features: ✅ fill handle ✅fonts ✅ format painter ✅ comments ✅ insert images ✅ more toolbar buttons Excel import and export. Support Vue. More features: ✅ sort ✅ filter ✅ hooks ✅ conditional formatting ✅ drag and drop ✅ find and replace location ✅ data verification ✅ freeze ✅ hide, and split text More advanced features: pivot tables charts ✅ screenshots Documentation See detailed documentation at fortune-sheet-doc Get started (react) Download and install the library Using npm ```shell npm install @fortune-sheet/react ``` Using pnpm ```shell pnpm install @fortune-sheet/react ``` Using yarn ```shell yarn add @fortune-sheet/react ``` Create an HTML placeholder ```html ``` NOTE : width and height doesn't have to be 100%, but should at least have a value. If set to auto , table area may not show. Render the sheet ```js import React from 'react'; import ReactDOM from 'react-dom'; import { Workbook } from "@fortune-sheet/react"; import "@fortune-sheet/react/dist/index.css" ReactDOM.render( , document.getElementById('root') ); ``` Backend storage and collabration Each time a user operates on the sheet, an array of Op will be emiited through onOp callback. An op describes how to modify the current data to reach the new data after the user's operation. For example, here is an op when user sets the cell font to be bold on cell A2. json [ { "op": "replace", "index": "0", "path": ["data", 1, 0, "bl"], "value": 1 } ] The op is useful for database modification and syncing state in online collabration. A working example with Express (backend server) and MongoDB (data persistence) is avaiable in backend-demo folder. Run it with node index.js and visit Collabration example (initialize data by visiting http://localhost:8081/init) For detailed doc about Op , refer to fortune-sheet-doc Migrating data from Luckysheet The overall data structure of FortuneSheet is the same as Luckysheet, with some naming differences: sheet.index -> sheet.id sheet.calcChain[].id -> sheet.calcChain[].id Contributing Expected workflow is: Fork -> Patch -> Push -> Pull Request Please make sure to read the Contributing Guide before making a pull request. Development Installation shell yarn Development shell yarn dev Packaging shell yarn build License This project is licensed under the MIT License. See MIT for the full license text.

A drop-in javascript spreadsheet library that provides rich features like Excel and Google Sheets

excel,javascript,react,spreadsheet,xlsx,collaborative,typescript,datagrid