scientific-computing

SciPy library main repository

The Go+ programming language is designed for engineering, STEM education, and data science.

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

ArrayFire: a general purpose GPU library.

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

✨ Standard library for JavaScript and Node.js. ✨

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

C++ implementation of the Python Numpy library

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

A Rust machine learning framework.

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.

Burn - A Flexible and Comprehensive Deep Learning Framework in Rust

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.

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

Open-source software for volunteer computing and grid computing.

CUDA integration for Python, plus shiny features

The Universal Storage Engine

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