Awesome Python: Curated Guide to Best Python Libraries
A curated directory of the best Python frameworks, libraries, and tools.
★ 4.0 / 5 iKeep scoreScreenshots
Quick facts
Overview
Awesome Python is a comprehensive, opinionated guide to the best Python resources across 72 categories. It features 555 curated projects spanning AI, data science, web development, and more, helping developers discover high-quality tools efficiently.
Getting started with Awesome Python
- Visit websiteNavigate to awesome-python.com in your browser to access the curated list of Python resources.
- Browse categoriesExplore the 72 categories to find Python libraries and tools relevant to your needs, such as AI, web development, or data science.
- Check project detailsReview the popularity, activity, and other details of each project to assess its suitability for your use case.
- ContributeIf you have a Python project to suggest, follow the contribution guidelines on the site to submit it for review.
Pricing
| Plan | Price | Note |
|---|---|---|
| Free | Free | Completely free to access and use. |
💡 Indicative pricing — check the official rates at awesome-python.com · Updated 7/16/2026
Key features
- 555 curated Python projects across 72 categories
- Includes AI, machine learning, web dev, and CLI tools
- Projects ranked by popularity and activity
- Clear categorization for easy navigation
- Regularly updated with new additions
- Open-source contributions welcome
Pros
- Extensive collection of vetted Python resources
- Well-organized by categories and subcategories
- Includes both popular and emerging tools
- Helpful for discovering new libraries
Cons
- No built-in search functionality
- Some categories may overlap
- No user ratings or reviews
Use cases
- Python developers looking for new tools
- Project managers evaluating Python solutions
- Students learning Python ecosystem
- Teams standardizing their tech stack
The verdict
Awesome Python is an essential bookmark for any Python developer, offering a well-maintained, comprehensive directory of the ecosystem's best tools - though it could benefit from search functionality and user reviews.
✓ Who should use it
Python developers who want to stay updated on the best available tools and libraries in the ecosystem.
✕ Who should skip it
Those looking for in-depth tutorials or beginner Python learning resources rather than tool discovery.
Categories
Community
- GitHub Issues ↗Discuss and report issues with Awesome Python
Great for
Frequently asked questions
Is Awesome Python free?
Awesome Python is free to use.
What is Awesome Python best for?
Python developers and teams seeking curated, high-quality tools
Does Awesome Python have an API?
No, Awesome Python does not offer a public API.
Can I self-host Awesome Python?
No, Awesome Python is not self-hostable.
Who should use Awesome Python?
Python developers who want to stay updated on the best available tools and libraries in the ecosystem.
Reviews 4.0 ★ · 1 review
As a senior editor reviewing Python resources, I'm consistently impressed by Awesome Python's comprehensive coverage of the ecosystem. The curation quality stands out - it's not just a dump of every Python project, but a thoughtful selection of truly useful tools. The hierarchical categorization makes navigation intuitive, though I wish there was search functionality. For developers overwhelmed by Python's vast ecosystem, this is an invaluable time-saver that surfaces both established solutions and promising newcomers. The regular updates keep it relevant, though some niche categories could use more entries. Overall, it's one of the first resources I recommend to Python developers looking to expand their toolkit.
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