SciPy library main repository

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

The Go+ programming language is designed for engineering, STEM education, and data science. Our vision is to enable everyone to become a builder of the digital world.

Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more

mlpack: a fast, header-only C++ machine learning library

✨ Standard library for JavaScript and Node.js. ✨

ArrayFire: a general purpose GPU library.

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.

A Rust machine learning framework.

ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

C++ implementation of the Python Numpy library

Sequential model-based optimization with a `scipy.optimize` interface

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library

Open-source software for volunteer computing and grid computing.

The Universal Storage Engine

CUDA integration for Python, plus shiny features

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.