47,133 repositories indexed
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Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
:zap: A Fast, Extensible Progress Bar for Python and CLI
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
pix2tex: Using a ViT to convert images of equations into LaTeX code.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Fast and Accurate ML in 3 Lines of Code
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
the portable Python dataframe library
A light-weight, flexible, and expressive statistical data testing library
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Scalable and user friendly neural :brain: forecasting algorithms.
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
Feature engineering and selection open-source Python library compatible with sklearn.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Lightweight and extensible compatibility layer between dataframe libraries!
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
moDel Agnostic Language for Exploration and eXplanation