semvec/pypi-packages huggingface dataset:
personal-library-manager 0.1.1
A CLI app to manage your personal book collection
Requires Python: >=3.6

```markdown
# Personal Library Manager 📚

A simple command-line tool to manage your personal book collection using Python.

## 📦 Installation

You can install the tool directly from [PyPI](https://pypi.org/project/personal-library-manager/) using pip:

```bash
pip install personal-library-manager
```

> ⚠️ Make sure to add this Scripts path to your system `PATH` if the command is not recognized:  
> `C:\Users\<YourUsername>\AppData\Local\Packages\PythonSoftwareFoundation.Python.<version>_qbz5n2kfra8p0\LocalCache\local-packages\Python<version>\Scripts`

## 🚀 Usage

Once installed, just open your terminal and run:

```bash
library-manager
```

This will launch the CLI app where you can:
- 📖 Add new books
- 📚 View your collection
- ❌ Delete books
- 🔍 Search by title
- 🛑 Exit the application

## 🤖 Author

**Muhammad Waheed**  
[GitHub](https://github.com/muhammadwaheedairi) | [LinkedIn](https://linkedin.com/in/muhammadwaheedairi)

## 🛠️ Project Structure

```
personal-library-manager/
├── personal_library_manager/
│   └── cli.py
├── README.md
└── setup.py
```

## 🧪 Requirements

- Python 3.6+
- No external dependencies (for now!)

---

Enjoy managing your personal library from the terminal! 🚀
rplayground-mcp 0.1.2
An MCP that lets the model transiently execute R code.
Requires Python: >=3.10

# MCP R Playground
An MCP server that allows AI models to execute R code, see its results, and draw and observe plots. 
It can be used for sophisticated agentic deployments, but also as a way to augment AI clients like Claude Desktop when talking to them about scientific papers. 

## Features:
- Stateful sessions: each conversation thread gets a new session, but the session can persist across calss and user/assistant interactions. 
- Graphics output: multimodal models can draw plots using standard R libraries like ggplot, see those plots, and react to them.
- *NO HOST ISOLATION*: while each session runs as a separate R environment, they have access to global dependencies and all files on the computer. While unlikely, a rogue model could write R code that deletes your important files.
- Works in all common operating systems/architectures - Windows x64 / arm64, MacOS, Linux 


## Configuration
Currently there's just one configuration parameter that can be set as an environment variable:
- `RPLAYGROUND_MCP_SUPPORT_IMAGE_OUTPUT`, default True. If set to False, image output will be disabled, and tool descriptions will be made to reflect that.


## Installation
Basic instructions for technical users:
1) Have R installed, and the R_HOME environment variable set
2) Have a recent version of the `uv` installed
3) run `uvx --python=3.13 rplayground-mcp`, and it should just work.

## Detailed Installation
This section is for less technical users who want to set up this MCP to use with Claude Desktop or similar AI user interfaces that support MCP extensions.

### Windows
- Make sure you have R installed. The recommended source is here https://cran.rstudio.com/ .
- Make sure you have `uv` installed. `uv` is the project management tool for Python, the programming language this tool is written in. More detailed instructions can be found here https://docs.astral.sh/uv/getting-started/installation/#pypi, we provide the instructions for the most straightforward method:
    1) Open the Terminal app
    2) In the terminal, paste in the following installation command: `powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"`
    3) Close the Terminal app and reopen it
    4) type in `uv` and confirm you don't see any red errors.
- We have provided a helper script that you can use to set up the MCP server to work with Claude Desktop. You can run it with `uv run --python=3.13 https://raw.githubusercontent.com/zygi/r-playground-mcp/refs/heads/master/scripts/setup_helper.py`. With your permission, it will:
    - Set the R_HOME environment variable to your R installation
    - Install the MCP inside your Claude Desktop configuration.
- That's it! Starting Claude Desktop should now display
mkdocstrings-graphql 0.3.0
A GraphQL handler for mkdocstrings.
Requires Python: >=3.9

# mkdocstrings-graphql

[![ci](https://github.com/mammothb/mkdocstrings-graphql/workflows/ci/badge.svg)](https://github.com/mammothb/mkdocstrings-graphql/actions?query=workflow%3Aci)
[![documentation](https://img.shields.io/badge/docs-mkdocs-708FCC.svg?style=flat)](https://mammothb.github.io/mkdocstrings-graphql/)
[![pypi version](https://img.shields.io/pypi/v/mkdocstrings-graphql.svg)](https://pypi.org/project/mkdocstrings-graphql/)

A GraphQL handler for mkdocstrings.

## Installation

```bash
pip install mkdocstrings-graphql
```
DM23004UNO 0.3
Librería para resolver sistemas de ecuaciones lineales y no lineales.

# DM23004UNO

Esta librería resuelve sistemas de ecuaciones lineales y no lineales usando diferentes métodos matemáticos.

## Métodos disponibles:

- Eliminación de Gauss
- Gauss-Jordan
- Cramer
- Descomposición LU
- Jacobi
- Gauss-Seidel
- Bisección

## Instalación

Puedes instalar esta librería usando pip:

```bash
pip install DM23004UNO
osher 0.1.0
A comprehensive OSINT (Open Source Intelligence) tool with multiple data sources
Requires Python: >=3.7

# OSHER

A comprehensive OSINT (Open Source Intelligence) tool with multiple data sources.

## Features

- IP address intelligence - geolocation, ISP information, and security assessment
- Domain analysis - WHOIS data, DNS records, SSL certificate information
- Email verification - format validation, breach checks, reputation analysis
- Username search - presence checks across multiple social media platforms
- Phone number intelligence - carrier information, location, validation
- Report generation - export findings in HTML, JSON, or TXT formats
- Data visualization capabilities
- Both CLI and web interface

## Installation

```bash
pip install osher
```

## Usage

### Command Line Interface

```bash
# Get help
osher --help

# IP address lookup
osher ip 8.8.8.8

# Domain information
osher domain example.com

# Email analysis
osher email user@example.com

# Username search
osher username johndoe

# Phone number lookup
osher phone +12125551234

# Interactive mode
osher interactive
```

### Web Interface

```bash
# Start the web interface
osher-web
```

Then open your browser and navigate to http://localhost:5000

## API Keys

While OSHER works with free public APIs, some services require API keys for better results. The following optional API keys can be configured:

- VirusTotal API Key - for security assessment
- IPinfo.io Token - for additional IP intelligence
- HaveIBeenPwned API Key - for breach checks
- EmailRep API Key - for email reputation analysis
- Hunter.io API Key - for email verification
- NumVerify API Key - for phone number verification
- Wappalyzer API Key - for website technology detection

You can set these API keys as environment variables or configure them through the interactive mode.

## License

MIT
winrt-Windows.UI.WebUI.Core 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.UI.WebUI.Core

Windows Runtime (WinRT) APIs for for the `Windows.UI.WebUI.Core` namespace.

This package provides the `winrt.windows.ui.webui.core` module.
winrt-Windows.Phone.UI.Input 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.UI.Input

Windows Runtime (WinRT) APIs for for the `Windows.Phone.UI.Input` namespace.

This package provides the `winrt.windows.phone.ui.input` module.
winrt-Windows.Phone.System.UserProfile.GameServices.Core 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.System.UserProfile.GameServices.Core

Windows Runtime (WinRT) APIs for for the `Windows.Phone.System.UserProfile.GameServices.Core` namespace.

This package provides the `winrt.windows.phone.system.userprofile.gameservices.core` module.
winrt-Windows.Phone.System.Profile 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.System.Profile

Windows Runtime (WinRT) APIs for for the `Windows.Phone.System.Profile` namespace.

This package provides the `winrt.windows.phone.system.profile` module.
winrt-Windows.Phone.System.Power 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.System.Power

Windows Runtime (WinRT) APIs for for the `Windows.Phone.System.Power` namespace.

This package provides the `winrt.windows.phone.system.power` module.
winrt-Windows.Phone.System 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.System

Windows Runtime (WinRT) APIs for for the `Windows.Phone.System` namespace.

This package provides the `winrt.windows.phone.system` module.
winrt-Windows.Phone.StartScreen 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.StartScreen

Windows Runtime (WinRT) APIs for for the `Windows.Phone.StartScreen` namespace.

This package provides the `winrt.windows.phone.startscreen` module.
winrt-Windows.Phone.Speech.Recognition 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.Speech.Recognition

Windows Runtime (WinRT) APIs for for the `Windows.Phone.Speech.Recognition` namespace.

This package provides the `winrt.windows.phone.speech.recognition` module.
winrt-Windows.Phone.PersonalInformation.Provisioning 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.PersonalInformation.Provisioning

Windows Runtime (WinRT) APIs for for the `Windows.Phone.PersonalInformation.Provisioning` namespace.

This package provides the `winrt.windows.phone.personalinformation.provisioning` module.
winrt-Windows.Phone.PersonalInformation 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.PersonalInformation

Windows Runtime (WinRT) APIs for for the `Windows.Phone.PersonalInformation` namespace.

This package provides the `winrt.windows.phone.personalinformation` module.
winrt-Windows.Phone.Notification.Management 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.Notification.Management

Windows Runtime (WinRT) APIs for for the `Windows.Phone.Notification.Management` namespace.

This package provides the `winrt.windows.phone.notification.management` module.
winrt-Windows.Phone.Media.Devices 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.Media.Devices

Windows Runtime (WinRT) APIs for for the `Windows.Phone.Media.Devices` namespace.

This package provides the `winrt.windows.phone.media.devices` module.
winrt-Windows.Phone.Management.Deployment 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.Management.Deployment

Windows Runtime (WinRT) APIs for for the `Windows.Phone.Management.Deployment` namespace.

This package provides the `winrt.windows.phone.management.deployment` module.
winrt-Windows.Phone.Devices.Power 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.Devices.Power

Windows Runtime (WinRT) APIs for for the `Windows.Phone.Devices.Power` namespace.

This package provides the `winrt.windows.phone.devices.power` module.
winrt-Windows.Phone.Devices.Notification 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.Devices.Notification

Windows Runtime (WinRT) APIs for for the `Windows.Phone.Devices.Notification` namespace.

This package provides the `winrt.windows.phone.devices.notification` module.
winrt-Windows.Phone.ApplicationModel 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Phone.ApplicationModel

Windows Runtime (WinRT) APIs for for the `Windows.Phone.ApplicationModel` namespace.

This package provides the `winrt.windows.phone.applicationmodel` module.
winrt-Windows.Embedded.DeviceLockdown 3.1.0
Python projection of Windows Runtime (WinRT) APIs
Requires Python: >=3.9

<!-- warning: Please don't edit this file. It was automatically generated. -->

# winrt-Windows.Embedded.DeviceLockdown

Windows Runtime (WinRT) APIs for for the `Windows.Embedded.DeviceLockdown` namespace.

This package provides the `winrt.windows.embedded.devicelockdown` module.
Core4AI 0.1.0
Core4AI - Contextual Optimization and Refinement Engine for AI
Requires Python: >=3.8
Keywords: llm, prompt, mlflow, ai, template

# Core4AI

## Contextual Optimization and Refinement Engine for AI

Core4AI is an intelligent system that transforms basic user queries into optimized prompts for AI systems using MLflow Prompt Registry.

> **COMING SOON!** This package is currently under active development.
>
> The current version is a placeholder to reserve the package name. A full release with all features is coming soon.

## What is Core4AI?

Core4AI (Contextual Optimization and Refinement Engine for AI) will be a powerful toolkit for prompt engineering, offering:

- **Centralized Prompt Management**: Store, version, and manage prompts in MLflow
- **Dynamic Matching**: Intelligently match user queries to the best prompt template
- **Version Control**: Track prompt history with production and archive aliases
- **Extensible**: Easily add new prompt types without code changes

## Installation

```bash
pip install Core4AI
```

After installation, you can check your installation with:

```python
import Core4AI
Core4AI.coming_soon()
```

## Stay Tuned

Follow this repository for updates as we prepare for the full release!