This repository is a curated list of Python libraries for data science, covering machine learning, NLP, computer vision, time series analysis, and more. It serves as a comprehensive resource for practitioners and researchers looking for tools to build and deploy data-driven applications.

How It Works

The list is organized by domain and sub-domain, providing links to popular and well-maintained Python libraries. Each entry typically includes a brief description and a link to the project's repository or documentation, enabling users to quickly discover and evaluate relevant tools.

Quick Start & Requirements

This is a curated list, not a runnable project. No installation or specific requirements are needed to use this resource.

Highlighted Details

• Extensive coverage across all major data science domains.
• Includes libraries for general ML, deep learning frameworks (PyTorch, TensorFlow, JAX), AutoML, NLP, computer vision, time series, reinforcement learning, and graph ML.
• Features sections on data manipulation, pipelines, distributed computing, experimentation, data validation, and model explanation.
• Covers visualization, web scraping, spatial analysis, and quantum computing tools.

Maintenance & Community

The list is maintained by krzjoa and welcomes contributions.

Licensing & Compatibility

The content is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows for broad use and adaptation of the curated list.

Limitations & Caveats

As a curated list, it does not provide direct functionality or code. The quality and maintenance status of individual libraries listed depend on their respective projects.