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python GitHub repositories

Explore 444 tracked GitHub repositories tagged python. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-29. The collection gained 6,187 stars since the previous daily snapshot.

Tracked repositories
444
Total stars
5,254,807
Stars gained · 7 days
+43,425
Stars gained · 30 days
+140,014

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Star activity for python repositories on this page
RepositoryTotal starsToday7 days30 days
Pipelex/pipelex949+0+1+18
argoproj-labs/hera947+0+1+6
retentioneering/retentioneering-tools942+0+6+23
agentforce314/clawcodex924+0+3+21
IBM/differential-privacy-library919+0+0+0

Explore repositories

Showing 351–400 of 444 tracked repositories.

retentioneering/retentioneering-tools

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

dagoSte/squadra

Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.

toby-bridges/api-relay-audit

Local security audit for AI API relays and LLM proxies: detects prompt injection, model substitution, tool-call rewriting, SSE anomalies, error leakage, and Web3 wallet risks. Website: https://apirelayaudit.com

simonlin1212/vibe-astock

Vibe AStock:A 股短线复盘与跟踪工作台 · 盯盘异动、情绪复盘(连板天梯、题材轮动、明日验证)、AI 复盘与周报、交易日志、盘前提醒,182 个数据端点。支持 Claude Code、Codex、WorkBuddy 订阅或任意模型 API。 | A short-term trading review and tracking workbench for China A-shares.

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