Fast, Scientific and Numerical Computing for the JVM (NDArrays)

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

C++ Mathematical Expression Parsing And Evaluation Library

Blitz++ Multi-Dimensional Array Library for C++

Computator.NET is a special kind of numerical software that is fast and easy to use but not worse than others feature-wise. It's features include: - Real and complex functions charts - Real and complex calculator - Real functions numerical calculations including different methods - Over 107 Elementary functions - Over 141 Special functions - Over 21 Matrix functions and operations - Scripting language with power to easy computations including matrices - You can declare your own custom functions with scripting language

A parallel application binary interface for Fortran 2018 compilers.

Simulation framework for nonsmooth dynamical systems

Numerical computation in native Haskell

Numerical computing in Swift – for Linux and macOS

Simple OpenCL examples for exploiting GPU computing

Coordinate-free hypersurfaces as Haskell types

GPU Gross-Pitaevskii Equation numerical solver for Bose-Einstein condensates.

NumCosmo main code

mathext implements basic elementary functions not included in the Go standard library [DEPRECATED]

Example repository for my blog (omnibus)

Tools for analyzing galaxy clusters.

🍭 Dali in Python

A Finite Difference Method Engine in C++

Numerical Calculations and Operations in Go

C# library for long numbers and RSA cryptosystem

Some mathy things for Ceylon

fastapprox addon for nodejs.

Basic numerical methods implemented in FORTRAN

oomph-lib is an object-oriented, open-source finite-element library for the simulation of multi-physics problems. It is developed and maintained by Matthias Heil and Andrew Hazel of the School of Mathematics at The University of Manchester, along with many other contributors.

A Common Lisp implementation of John L. Gustafson's unums as described in The End of Error

The Project - Neumann. This is a big science library written in Java. Neumann provides numerical calculation, graphics, data flow graph, machine learning and algebra.

Javascript implementation of the CORDIC Algorithm that approximate trigonometric functions

Rust implementation of custom numeric base conversion.

Modeling in Chemical Technology: Numerical Calculations with Python