semvec/pypi-packages huggingface dataset:
inkletter 1.0.0
Markdown to MJML/HTML converter and previewer
Requires Python: >=3.8

# Inkletter

[![GitHub Repo](https://img.shields.io/badge/GitHub-Inkletter-blue?logo=github)](https://github.com/CrocoCode-co/Inkletter)
[![PyPI version](https://badge.fury.io/py/inkletter.svg)](https://badge.fury.io/py/inkletter)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

**Write your emails like prose, send them like a pro.**

Inkletter is a magical little tool that transforms your plain Markdown files into beautiful, 
responsive MJML and HTML email layouts, ready to be previewed, shared or sent to the world.

## Why Inkletter?

Because writing HTML emails by hand is like ironing socks: pointless and painful.

With Inkletter, you write your content in **Markdown** (like a decent human being), 
and we turn it into **gorgeous, mobile-friendly HTML emails** powered by MJML.

Built with care, clarity and just enough elegance, 
the kind that pairs well with good typography and strong espresso.

## Features

- ✅ Convert Markdown to MJML
- ✅ Convert Markdown to full responsive HTML
- ✅ Live preview in your browser
- ✅ Device simulator (iPhone, iPad, Desktop, etc.)
- ✅ One command, zero headache
- ✅ No vendor lock-in, fully offline

## ✨ Live Samples

Explore the included examples to see Inkletter in action:
- 🔍 [sample.md](sample/sample.md) — the original Markdown source
- 💎 [sample.html](sample/sample.html) — the final responsive HTML output
- 🎨 [preview.html](sample/preview.html) — the interactive split preview (Markdown / MJML / Rendered)

## Installation

Make sure you have Python 3.8+ installed on your system.

Then in your terminal:

```bash
pip install inkletter
```

Or for development:

```bash
git clone https://github.com/CrocoCode-co/Inkletter.git
cd inkletter
pip install -e .
```

## How it works

### 1. Preview your Markdown as a responsive email

```bash
inkletter preview yourfile.md
```

This opens a split view in your browser with:
- Your original Markdown
- The generated MJML
- A live rendered email with responsive device preview

Yes, even iPhone 14. You’re welcome.


### 2. Convert and export to HTML

```bash
inkletter md2mjml input.md -o output.html –view
```

This will:
- Convert the Markdown to MJML
- Render it into clean HTML
- Save the HTML to `output.html`
- Optionally open it in your browser with `–view`

No fuss. No noise. Just results.


## Contributing

French or not, you are welcome to contribute.
Fork it, branch it, test it, PR it — with love.

## License

MIT — but don’t forget to say “merci” 😉

### Made with ❤️ and `markdown` in France.
odooss 1.0.2
IdeaCode Academy Odoo Standard Structure — starting point repo.
Requires Python: >=3.10


# Odoo Standard Scaffold


```zsh
 odooss create <your-dir-path> --odoo_version 18.0 --python 3.10 --vcs github
```

- ```--odoo_version``` - for odoo docker image tag
- ```--python``` - for python-<version>-slim docker image tag
- ```--vcs``` - for version control system (e.g. github, gitlab, bitbucket, etc...)

## output will be like this

- addons/
  - README.md
- .dockerignore
- .gitignore
- .pre-commit-config.yaml
- compose.yml
- Dockerfile
- README.md
- requirements.txt
- ruff.toml

## and then create currently dir in `config/odoo.conf` file.

```
[options]
admin_passwd=xxxx
addons_path=/mnt/extra-addons
```

## create `odoo_pg_pass` file
```
your-password=xxxx
```

## add your repo (optional).
```zsh
git remote add origin <repo-url>
```

## check your code format using ruff.

```zsh
ruff format
```

# check your code and fixed it. 
`ruff` can check and auto fix for some and others for manually.
```
ruff check --fix
```

## now you can push to your branch. 
if pushing was failed. you need to check with `ruff` again.

```zsh
git add .
git commit -m "[ADD] project initalize"
git push origin <branch>
```
### if you are using automaion flow. like `github` action need to follow instructions.

## Github
### Settings >> Security >> Actions secrets and variables >> secrets >> Repository secrets
#### add this variables
- `ODOO_DB_NAME`
- `ODOO_DB_PASSWORD`
- `REMOTE_HOST` - <your-server-ip> 192.169.100.1
- `REMOTE_USER` - ubuntu or root
- `SSH_FILE_PATH` - /root/your-project/
- `SSH_PRIVATE_KEY` - server access private key

now you can use smart commands and add in git commit message like this -

```
[ADD] res.partner model in age fields. #odoo-module:contacts,sale
```

#### now git push and check your github action.

# we  will be continue for other vcs (like gitlab, bitbucket, etc....) in the future

###  Agga, IdeaCode Academy
gcn-graphdb-retriever 0.1.0
Add your description here
Requires Python: >=3.10

# GCN-GRAPHDB-RETRIEVER-MAIN
以下是关于GCN-graphdb-retriever的介绍
|方法|描述|
|:--:|:--:|
|subject_pipeline|提取GCN相关信息|
|gcn_graph_builder|构建知识图谱|

## 使用方法讲解
### 通过pip安装
<pre>
pip install GCN-Graphdb-Retriever
</pre>
### 1.直接在代码中进行应用
<pre>
from gcn_graphdb_retriever import subject_KEE_pipeline
from gcn_graphdb_retriever import gcn_graph_builder

def main():
    in_filepath = "tests/archive.txt.tar.gz"
    out_filepath = "tests/model_test.txt"
    examples_filepath = "tests/subject_parser_examples.json"
    model = "qwen3:14b"
    silent_errors = False
    examples_num = 1
    subject_KEE_pipeline.subject_pipeline(in_filepath, out_filepath, examples_filepath, model, silent_errors, examples_num)

    in_filepath = "tests/model_test.txt"
    silent_errors = False
    gcn_graph_builder(in_filepath, silent_errors)

if __name__ == "__main__":
    main()
</pre>

### 3.通过命令行调用
<pre>
ps@ps:~/桌面/Vscode_test/gcn-graphdb-retriever-main(1)/gcn-graphdb-retriever-main$ uv run subject_KEE_pipeline -i tests/archive.txt.tar.gz -o tests/model_test.txt --examples tests/subject_parser_examples.json
</pre>
hypixel_stats_bot 0.1.10
This project lets you quickly view any acount's Hypixel Stats for Bedwars, Skywars, and Slumber Hotel!
Requires Python: >=3.13.0

# Hypixel stats viewer discord bot with fuzzy search

## Description

This project lets you quickly view any acount's Hypixel Stats for Bedwars, Skywars, and Slumber Hotel!

Video Demo: https://www.youtube.com/watch?v=FRpHLFypNl8

## How to Use

To use this project, you go into the server, and enter in the command, /stats and then fill out the name field and query field. For the name, just put the username of the minecraft acount you want to check. For the query, type whatever stat you want to view. It will show the top suggestions for what you are trying to view, so if you type "skywars team" it will show you the skywars team stats.

API: Hypixel Public API

## Install and Run

This requires python 3.13.X
Ensure you have pipx installed (pip works too, but it might mess up your environment).

Run: `pipx run --no-cache hypixel_stats_bot <hypixel API key> <discord API key>` and replace the hypixel API key and discord API key with your actual keys.

To get a hypixel API key: https://developer.hypixel.net/dashboard/
To get a discord bot key: https://discord.com/developers/applications (make an application, add a bot, and invite it to your server (application commands, and bot admin permissions are fine for testing))

Otherwise, you can also run:

```
python -m pip install --no-cache hypixel_stats_bot
hypixel_stats_bot <hypixel API key> <discord API key>
```
devbot-sa 0.1.0
A developer assistant bot
Requires Python: >=3.8

# LLM-for-SA
 A tool to generate software design document using LLM models

 # Steps to run locally the first time

 1. Clone the repository
 2. Open terminal and go to where repo was cloned.

        cd <repo name>

 4. Run this command there

        python -m venv venv

 5. Then run this command to activate the virtual environment

        For macOS/Linux:

            source venv/bin/activate

        For Windows (PowerShell)

            .\venv\Scripts\Activate.ps1

        (If you get the error saying running scripts is disabled on this system… -> Run this command in the root folder in PowerShell)

            Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy RemoteSigned

            (When prompted, type Y and press Enter.)

 7. To install dependencies run this command:

        pip install -r requirements.txt

 8. Then this command to run the tool

        python gui.py


# After setting up for the first time:
1.  Navigate to your project folder
2.  Activate the existing virtual venv (Step 4 from earlier)
3.  Install dependencies again only if any changes or additions made
4.  Run the tool with the same command as before

# Evaluation
1. Install dependencies via `pip install -r evaluation/requirements.txt`.
2. Download the [PlantUML JAR](https://github.com/plantuml/plantuml/releases).
3. Rename it to `plantuml.jar` and place it in `evaluation/`.
4. Run `python -m evaluation.main folder`, where `folder` contains either: I) LLM-generated PlantUML diagrams and the ground truth `Benchmark.puml`, or II) Folders each containing LLM-generated PlantUML diagrams and the ground truth `Benchmark.puml`. If the latter, iterative refinement is assumed; that is, each folder represents the second model, with the first model denoted by the files therein. For example, `o3/Gemini.puml` means Gemini was the first model and o3 the second.
In the case of the first option, a CSV table reporting the edit distance, true positives, false positives, false negatives, precision, recall, and F1 score of every model is saved. Otherwise, heatmaps displaying the edit distance, precision, recall, and F1 score of each model pair are saved, with the rows and columns denoting the first and second models used, respectively.
megania 0.0.2b0
IA Megan - inteligencia artificial básica en Python
Requires Python: >=3.7

# Megan IA - Versión 0.0.2b0

Megan IA es una inteligencia artificial simplificada en Python que responde preguntas básicas usando respuestas fijas, tokenización simple, tensores y un transformer simplificado.

## Características

- Respuestas fijas extensas y mejoradas (~350 líneas)
- Tokenizador básico para procesamiento de texto
- Tensor básico para manipulación de datos
- Transformer simplificado para futura expansión
- Módulo de entrenamiento simulado para evaluar respuestas
- Script `clip.py` para interactuar en consola

## Instalación

```bash
pip install megania