Stdlib - Standard library for JavaScript and Node.js.

  •        400

Stdlib is a standard library for JavaScript and Node.js, with an emphasis on numeric computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.



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owl - Owl is an OCaml library for scientific and engineering computing.

  •    OCaml

Owl is an emerging numerical library for scientific computing and engineering. The library is developed in the OCaml language and inherits all its powerful features such as static type checking, powerful module system, and superior runtime efficiency. Owl allows you to write succinct type-safe numerical applications in functional language without sacrificing performance, significantly reduces the cost from prototype to production use. Owl's documentation contains a lot of learning materials to help you start. The full documentation consists of two parts: Tutorial Book and API Reference. Both are perfectly synchronised with the code in the repository by the automatic building system. You can access both parts with the following link.

lib - StdLib API Development, Deployment, and Management Tools

  •    Javascript

StdLib is based on Function as a Service ("server-less") architecture, popularized by AWS Lambda. You can use StdLib to build modular, scalable APIs for yourself and other developers in minutes without having to manage servers, gateways, domains, write documentation, or build SDKs. Your development workflow has never been easier - focus on writing code you love, let StdLib handle everything else. You can view services published by our large and growing developer community on the StdLib search page.

zend-stdlib - Stdlib component from Zend Framework

  •    PHP

We provide scripts for benchmarking zend-stdlib using the PHPBench framework; these can be found in the benchmark/ directory.

Meta Numerics


The Meta.Numerics math and statistics library supports scientific computing on the .NET platform. It offers an object-oriented API for matrix algebra, advanced functions of real and complex numbers, signal processing, and data analysis.

SciPy - software for Mathematics, Science, and Engineering

  •    Python

SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.

Scirust - Scientific Computing Library in Rust

  •    Rust

SciRust is a Scientific computing library written in Rust programming language. The objective is to design a generic library which can be used as a backbone for scientific computing. Its current areas of focus includes Matrices, Linear algebra, Statistics, and Signal processing.

NumPy - fundamental package for scientific computing with Python

  •    Python

NumPy is the fundamental package needed for scientific computing with Python. Numerical Python adds a fast and sophisticated N-dimensional array facility to the Python language. NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

julia - The Julia Language: A fresh approach to technical computing.

  •    Julia

Julia is a high-level, high-performance dynamic language for technical computing. The main homepage for Julia can be found at This is the GitHub repository of Julia source code, including instructions for compiling and installing Julia, below. New developers may find the notes in CONTRIBUTING helpful to start contributing to the Julia codebase.

Julia - Language for Technical Computing

  •    Julia

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. This computation is automatically distributed across all available compute nodes, and the result, reduced by summation (+), is returned at the calling node.

Colt - Scientific and Technical Computing in Java

  •    Java

Colt distribution consists of several free Java libraries bundled under one single uniform umbrella. Namely the Colt library, the Jet library, the CoreJava library, and the Concurrent library. It provides support for resizable arrays, dense, sparse matrices, histogramming functionality, Random Number Generators etc.

science.js - Scientific and statistical computing in JavaScript.

  •    Javascript

Scientific and statistical computing in JavaScript.

learn-julia-the-hard-way - Learn Julia the hard way!

  •    Makefile

The Julia base package is pretty big, although at the same time, there are lots of other packages around to expand it with. The result is that on the whole, it is impossible to give a thorough overview of all that Julia can do in just a few brief exercises. Therefore, I had to adopt a little 'bias', or 'slant' if you please, in deciding what to focus on and what to ignore. Julia is a technical computing language, although it does have the capabilities of any general purpose language and you'd be hard-pressed to find tasks it's completely unsuitable for (although that does not mean it's the best or easiest choice for any of them). Julia was developed with the occasional reference to R, and with an avowed intent to improve upon R's clunkiness. R is a great language, but relatively slow, to the point that most people use it to rapid prototype, then implement the algorithm for production in Python or Java. Julia seeks to be as approachable as R but without the speed penalty.

Bucklescript - A backend for the OCaml compiler which emits JavaScript.

  •    OCaml

BuckleScript leverages the existing OCaml compiler and toolchain to produce JavaScript that closely resembles the original OCaml. It isn't a new language. It simply takes OCaml, a fast, pragmatic and typed language, and makes it compile to clean, readable and performant JavaScript code. This allows the users to write in an industrial-strength language while using the existing, familiar JavaScript tools (npm/yarn, bundlers, minifiers, devtools, etc.) and accessing the vast ecosystem from both JavaScript and OCaml.

GSL - GNU Scientific Library

  •    C

The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There are over 1000 functions in total with an extensive test suite.

boinc - Open-source software for volunteer computing and grid computing.

  •    PHP

The University of California holds the copyright on all BOINC source code. By submitting contributions to the BOINC code, you irrevocably assign all right, title, and interest, including copyright and all copyright rights, in such contributions to The Regents of the University of California, who may then use the code for any purpose that it desires. BOINC is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

ruby-gsl: Ruby wrapper for GSL

  •    Ruby

ruby-gsl is a port of the GNU Scientific Library (GSL) to the Ruby programming language. The GNU Scientific Library is a collection of routines for numerical computing. Ruby is an interpreted scripting language for quick and easy object-oriented programm

Gridcoin - Cryptocurrency, Rewards Volunteer Distributed Computing

  •    C++

Gridcoin is a POS-based cryptocurrency that rewards users for participating on the BOINC network. Gridcoin uses peer-to-peer technology to operate with no central authority: managing transactions, issuing money and contributing to scientific research are carried out collectively by the network.

Accord.NET - Machine learning, Computer vision, Statistics and general scientific computing for .NET

  •    CSharp

The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.