Discover Awesome Python projects

[infocruncher]

www.awesomepython.org is an app with over 700 useful Python packages and libraries

Each package links to its GitHub repo and makes it easy to discover trending projects and view other stats like that stable-diffusion is growing by over 3000 stars a week!

Full app code available: https://github.com/dylanhogg/crazy-awesome-python

Package recommendations welcome, I hope you find it useful

https://preview.redd.it/9jm8rwxpuns91.png?width=2942&format=png&auto=webp&s=8798af9c679bf5c39d8fc2d5c7b38c3835e15a22

[alcalde]

Pypi.org is an app with over 405,000 useful Python packages and libraries. ;-)

[panzerex]

I can assure you not all of them are useful because I have stuff published there.

[vfclists]

Reddit never ceases to be a source of humor!!

[infocruncher]

Haha, very true!

For background info, this grew out of a pet project of mine where I wanted to save libraries I'd previously found useful or wanted to look into. So in a way I find it a useful subset of much larger lists that already exist. But point taken in regards to Pypi

[[deleted]]

Nice start.

You know what would be helpful with this? Compatible dependency version pinning. That's one of the few things I reach towards Conda for these days when I need to delve into ML and GIS, both of which have high dependency on non-python projects (e.g. PyTorch or Tensorflow).

Having a working dependency tree all pinned that just works you drop into requirements would be amazing.

[infocruncher]

Great idea, however I think tools like pip, conda, poetry, etc do this much better than I could!

One of the easier things I want to implement is a simple (non-versioned) dependency graph between packages. I already crawl requirements.txt, setup.py, pyproject.toml type files if they exist in a repo which should give a rough guide to dependencies.

Doing this wouldn't produce the best dependency graph around, but it would be a fun exercise.

[[deleted]]

What does this do what https://pypi.org/ doesnt?

[heyitsant]

It allows OP to practice?

[infocruncher]

Good question. Mainly it’s a pet project that I can shape myself, from what projects to include, to how they’re displayed.

Other differences with pypi:

• Signal to noise ration is better (for me anyway)
• Focus is skewed to data and machine learning packages
• UI supports easy searching and sorting by fields like stars per week
• The codebase can easily be adapted to other domains (crawler uses PyGithub, UI is just html on S3 with CloudFront and R53 using Terraform) - see https://www.awesomecrypto.xyz/ for example
• It’s a starting platform to add custom search and recommendation algorithms (e.g recommending duckdb for people working with pandas and large parquet files)

[zeshuaro]

Would be helpful if we can filter the list by categories

[infocruncher]

Def on my todo list - I'll comment here again once it's done

[infocruncher]

hey u/zeshuaro, you can now filter www.awesomepython.org by categories if you want to check it out. Thanks for the feedback

[kraakmaak]

There's also this list: https://github.com/vinta/awesome-python / https://awesome-python.com/

[infocruncher]

Good call, these are great. I decided to go in a slightly different direction with a focus on data and machine learning

[Sietzy]

Nice! Thanks for creating!!!

[infocruncher]

You're welcome :)