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Linear Algebra Libraries

High-performance libraries specifically designed for linear algebra operations, matrix computations, and BLAS (Basic Linear Algebra Subprograms) implementations. These libraries optimize mathematical operations for scientific computing and machine learning applications.

5 projects

5,856 contributors

$289M

OpenBLAS

OpenBLAS is a high-performance open-source implementation of the Basic Linear Algebra Subprograms (BLAS) library, optimized for various processor architectures. It provides efficient matrix and vector operations essential for scientific computing, machine learning, and numerical analysis.

Contributors

2,593

Organizations

563

Software value

$165M

Math.js

Math.js is an extensive mathematics library for JavaScript that provides a flexible expression parser and offers support for symbolic computation, complex numbers, units, matrices, and a wide range of mathematical functions. It can be used both in Node.js and in web browsers.

Contributors

1,798

Organizations

428

Software value

$3.6M

MFEM

MFEM is a free, lightweight, scalable C++ library for finite element methods. It provides high-performance mathematical algorithms for finite element discretization, linear algebra operations, mesh representation, and parallel computing capabilities for solving partial differential equations.

Contributors

1,089

Organizations

94

Software value

$18M

Stan Math Library

The Stan Math Library is a C++ library providing mathematical functions, probability distributions, automatic differentiation, and optimization algorithms used by the Stan probabilistic programming language. It serves as a foundational component for statistical modeling and Bayesian inference.

Contributors

376

Organizations

80

Software value

$103M

BLIS

BLAS-like Library Instantiation Software Framework

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