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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.
:memo: An awesome Data Science repository to learn and apply for real world problems.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
:microscope: A Ruby library for carefully refactoring critical paths.
Toturials coming with the "data science roadmap" picture.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
common data analysis and machine learning tasks using python
Python library that makes it easy for data scientists to create charts.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
A .NET library for carefully refactoring critical paths. It's a port of GitHub's Ruby Scientist library
The Agentic Scientist: Orchestrating Coding Agents for Automated Scientific (Co-)Discovery
A list of recommended Python libraries, and resources, intended for scientific Python users.
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis.
FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence
iOS custom view to display books on shelf
The world’s first community-led, not-for-profit, digital platform joining farmers and scientists together for participatory assessment of social, environmental and economic outputs of farming systems.
A fast xgboost feature selection algorithm
A CLI tool to reduce the friction between data scientists by reducing git conflicts removing notebook metadata and gracefully resolving git conflicts.
Introduction to R for Social Scientists