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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.
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
The fundamental package for scientific computing with Python.
Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains
The open-source AI workbench for scientific research
ScienceDiscovery is an all‑in‑one agentic workbench built specifically for scientific research.
Twenty LuaLaTeX and MetaPost (fiziko) examples of the old scientific-paper aesthetic: engraved plates, star charts, computed log tables, knots, telescopes
Fly-connectome simulation controlling a live Doom arena, with experimental neural plasticity, spectator UI, and scientific validation reports.
An open, collaboratively-built repository for AI-assisted scientific research — collecting and curating agents, skills, workflows, tools, and best practices across the full research lifecycle. 面向 AI 辅助科研的开放共建仓库 收集和沉淀科研全流程中的 agents、skills、workflows、tools 与最佳实践
Modern scientific computing for OCaml
Documents with Scientific Intelligence
LaTeX template for Master, Bachelor, Diploma, and Student Theses
PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.
constrained nonlinear optimization for scientific machine learning, UQ, and AI
Fast data visualization and GUI tools for scientific / engineering applications
High-performance visualization and interactive data exploration of scientific and geospatial location aware datasets
Notes on Scientific Computing for Biomechanics and Motor Control
Official repository for Spyder - The Scientific Python Development Environment
R for Reproducible Scientific Analysis
A scientific image processing software suite with a focus on CryoEM and CryoET
🦄 Scientific journal and sci-fi themed color palettes for ggplot2
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
ScopeFoundry: A Python platform for controlling custom laboratory experiments and visualizing scientific data
:floppy_disk: C++ & Python API for Scientific I/O
Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.
:keyboard: A curated list of awesome tools, demos and resources to go beyond LaTeX
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods