Scientific Computing

Routines for solving systems of linear equations, linear least-squares, eigenvalue problems, etc.

Optimized BLAS library based on GotoBLAS2.

High-performance BLAS-like dense linear algebra libraries.

High-performance manycore linear algebra library, focus on sparse systems.

Python modules for statistics, optimization, integration, linear algebra, etc.

Fundamental package needed for scientific computing with Python.

Toolbox for solving different types of differential equations numerically.

Framework for the numerical simulation of PDEs using unstructured discretizations.

Software library supporting the creation of finite element codes.

High performance multiphysics finite element software.

Automated system for the solution of PDEs using the finite element method.

Multiphysics Object Oriented Simulation Environment.

Free, lightweight, scalable C++ library for finite element methods.

Simple Finite Elements in Python.

Code for Efficient Extensible Discretizations.

Simple finite element assemblers.

Software libraries and data formats for array-oriented scientific data. (C/C++/Fortran/Java/Python, custom open-source license, GitHub)

Data model, library, and file format for storing and managing data. (C/Fortran, BSD, GitHub)

Format for the storage of chunked, compressed, N-dimensional arrays. (Python, MIT, GitHub)

Direct solution of large, sparse, nonsymmetric systems of linear equations. (C, mostly BSD, GitHub)

Algebraic Multigrid Solvers in Python. (Python, MIT, GitHub)

Library of high-performance preconditioners and solvers. (C, Apache 2.0/MIT, GitHub)

3D scientific data visualization and plotting in Python.

Viewer and user interface for 3D geometry processing.

3D plotting and mesh analysis through a streamlined interface for VTK.

Library for scientific analysis and visualization of 3D objects based on VTK.

Toolkit for analysis and visualization of volumetric data.

Cross-platform, fast, and minimalist 3D viewer with scientific visualization tools.

Topological data analysis and visualization.

Header-only, modern OpenGL code to visualize numerical simulations at runtime.

Discrete Fourier transforms in one or more dimensions, of arbitrary input size, real and complex.

Convex hull, Delaunay triangulation, Voronoi diagram, halfspace intersection about a point, etc.

Free, open source CFD (computational fluid dynamics) software.

Numerical integration (quadrature, cubature) in Python.

Finite-volume PDE solver.

Accurate sums and dot products for Python.

Computing with functions to about 15-digit accuracy.

Model Order Reduction with Python.

Modeling language for convex optimization problems.

Wavelet transforms in Python.

Nonequispaced fast Fourier transform.

Coupling library for partitioned multi-physics simulations (FSI, CHT, and more).

Compute orthogonal polynomials efficiently.

Generalized Additive Models in Python.

Solve partial differential equations with spectral methods.

Massively parallel optimization.

High-performance Python library for the spectral Galerkin method.

Dynamic Mode Decomposition (DMD) in Python.

High-performance unified framework for domain decomposition methods.