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python GitHub repositories

Explore 442 tracked GitHub repositories tagged python. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 5,302 stars since the previous daily snapshot.

Tracked repositories
442
Total stars
5,273,886
Stars gained · 7 days
+42,853
Stars gained · 30 days
+141,196

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Star activity for python repositories on this page
RepositoryTotal starsToday7 days30 days
gradio-app/fastrtc4.6K+1+2+2
ARCANGEL0/Mitsu536+1+2+2
dipy/dipy851+1+1+7
perpetual-ml/perpetual715+1+1+7
spotify/voyager1.6K+1+1+4

Explore repositories

Showing 251–300 of 442 tracked repositories.

ARCANGEL0/Mitsu

Meet Mitsu, your chibi red-team operator. Connect your AI provider, set the scope, and she can take an authorized pentest from recon and attack-surface mapping through vulnerability discovery, > exploitation, and post-exploitation, armored with 165+ MCP-connected tools and live session intel. Guide every step or let her pwn autonomously. ( ◠‿◠)

dipy/dipy

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

perpetual-ml/perpetual

Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R

partcad/partcad

Package manager for things. Start designing modular hardware! PartCAD is the standard for documenting manufacturable physical products (a.k.a. Digital Thread or TDP). It comes with a set of tools to maintain product information and to facilitate efficient and effective workflows at all product lifecycle phases, boosted by AI.