dylanhogg/awesome-python
๐ Hand-picked awesome Python libraries and frameworks, organised by category
- Stars
- 468
- Forks
- 41
- Open issues
- 12
- Last push
- 3mo ago
About awesome-python
awesome-python is a free, open-source AI resource list by dylanhogg. ๐ Hand-picked awesome Python libraries and frameworks, organised by category. It has 468 GitHub stars and 41 forks, and was last updated 3mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- โ
- Stars
- 468
- Last update
- 3mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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awesome-python FAQ
Is awesome-python free?
Yes. awesome-python is open source and free to use. It's released under the MIT license, a standard open-source license.
Does awesome-python run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does awesome-python need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is awesome-python still maintained?
It was last updated 3mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to awesome-python?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, anomaly-detection-resources, CVPR2026-Papers-with-Code, yt-channels-DS-AI-ML-CS.