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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.
Making large AI models cheaper, faster and more accessible
The fundamental package for scientific computing with Python.
Data Apps & Dashboards for Python. No JavaScript Required.
SciPy library main repository
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
High-performance TensorFlow library for quantitative finance.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Accelerated deep learning R&D
QuTiP: Quantum Toolbox in Python
A Python library for quantum programming using Quil.
Cloud-native genomic dataframes and batch computing
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
FiPy is a Finite Volume PDE solver written in Python
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
Main yt repository
A Python native dynamical system simulation framework in the block diagram paradigm.
Quantum Computer Library for Everyone
Autonomous multi-agent framework to optimize scientific software
A fast MDCT implementation using SciPy and FFTs