This repository is a curated list of Python libraries and tools, inspired by "awesome-python" and "fucking-awesome-go". It aims to provide a comprehensive overview of the Python ecosystem for developers, researchers, and power users by categorizing and linking to popular and useful projects.

How It Works

The repository functions as a directory, organizing Python libraries and frameworks into numerous categories such as Web Frameworks, Data Science, Machine Learning, GUI Development, and more. Each entry typically includes a project name, a brief description, GitHub stars and forks count, and a link to the project's repository. This structure allows users to quickly discover and evaluate relevant tools.

Quick Start & Requirements

This repository is a list of links and does not require installation or execution.

Highlighted Details

• Extensive categorization covering nearly every aspect of Python development.
• Includes star and fork counts for projects, offering a quick gauge of popularity and community engagement.
• Links to related "awesome" lists for deeper dives into specific domains (e.g., awesome-asyncio, awesome-django).
• Regularly updated to reflect the evolving Python landscape.

Maintenance & Community

The repository is maintained by trananhkma. Contributions are welcome via pull requests to update outdated links or add new projects. Users are encouraged to follow the contribution guidelines, which often involve referencing the main "awesome-python" repository.

Licensing & Compatibility

The repository itself is a list and does not have a specific license. The licensing of the individual projects linked within the repository varies and must be checked on a per-project basis.

Limitations & Caveats

As a curated list, the quality and maintenance status of individual projects depend on their respective maintainers. The sheer volume of projects means some entries might be outdated or less actively maintained than others.