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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.
The fundamental package for scientific computing with Python.
Data Apps & Dashboards for Python. No JavaScript Required.
Parallel computing with task scheduling
Build, Manage and Deploy AI/ML Systems
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Automate code & data workflows with interactive Elixir notebooks
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
C++ implementation of the Python Numpy library
C++ tensors with broadcasting and lazy computing
Lectures on scientific computing with python, as IPython notebooks.
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
The Universal Storage Engine
Owl - OCaml Scientific Computing @ https://ocaml.xyz
GRASS - free and open-source geospatial processing engine
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.
⚡ Datoviz: high-performance GPU rendering for scientific data visualization
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
Main yt repository
High-performance, time-indexed object storage for robotics and industrial IoT
High-performance Bayesian Data Analysis on the GPU in Clojure