awesome-scientific-computing

Accurate sums and dot products for Python. (Python, GPL 3, GitHub)

Computing with functions to about 15-digit accuracy. (MATLAB, BSD,

Modeling language for convex optimization problems. (Python, Apache 2.0,

Solve partial differential equations with spectral methods. (Python, GPL 3,

Discrete Fourier transforms in one or more dimensions, of arbitrary input size, real and complex. (C, GPL2,

Finite-volume PDE solver. (Python,

Standard building blocks for performing basic vector and matrix operations. (Fortran, public domain,

High-performance C++ math library for dense and sparse arithmetic. (C++, BSD, Bitbucket)

High-performance BLAS-like dense linear algebra libraries. (C, BSD, GitHub)

C++ template library for linear algebra. (C++, MPL 2,

High-performance manycore linear algebra library, focus on sparse systems. (C++, BSD,

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

Algorithms for computational geometry. (C++, mixed LGPL/GPL,

Simple generator for unstructured triangular and tetrahedral meshes. (MATLAB, GPL 3)

Simple generator for unstructured triangular meshes, inspired by distmesh. (Python, proprietary, GitHub)

Same as TetWild, but faster. (C++, MPL 2,

Three-dimensional finite element mesh generator with pre- and post-processing facilities. (C++, GPL,

I/O for various mesh formats, file conversion. (Python, MIT, GitHub)

Software library supporting the creation of finite element codes. (C++, LGPL 2.1,

Computing platform for solving PDEs in Python and C++. (C++/Python, LGPL 3,

Automated system for the solution of PDEs using the finite element method. (Python, LGPL 3,

High level multiphysics-multimesh finite element language. (C++, LGPL,

Code for Efficient Extensible Discretizations. (C, 2-clause BSD,

Framework for the numerical simulation of PDEs using unstructured discretizations. (C++, LGPL 2.1,

Toolbox for solving different types of differential equations numerically. (Julia, MIT,

Toolbox for solving PDEs with grid-based methods. (C++, GPL 2,

Fundamental package needed for scientific computing with Python. (Python, BSD,

Parallel solution of scientific applications modeled by PDEs. (C, 2-clause BSD,

Python modules for statistics, optimization, integration, linear algebra, etc. (Python, mostly BSD,

Discord messaging server on numerical software.

One post a day on computational mathematics.

List of freely available software for the solution of linear algebra problems.

Feats of scientific computing.

Collection of articles on topics related to numerical analysis and those who practice it.

Mostly on MATLAB, general computing advice.

Cross-platform, fast, and minimalist 3D viewer with scientific visualization tools. (C++, BSD,

3D scientific data visualization and plotting in Python. (Python, BSD,

Header-only, modern OpenGL code to visualize numerical simulations at runtime. (C++, Apache 2.0, GitHub)

Multi-platform data analysis and visualization application based on VTK. (C++, BSD,

Viewer and user interface for 3D geometry processing. (C++, MIT,

3D plotting and mesh analysis through a streamlined interface for VTK. (Python, MIT,

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

Software libraries and data formats for array-oriented scientific data. (C/C++/Fortran/Java/Python,

eXtensible Data Model and Format for data from High Performance Computing codes. (C++,

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