suitesparse

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.

CMake scripts for painless usage of SuiteSparse+METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake

GraphBLAS for Python

Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics

A sparse KLU solver for PyTorch.

Easy-to-use linear and non-linear solver

Set up cholmod and scikit-sparse python package on Windows.

Solve sparse linear systems in JAX using the KLU algorithm

Development of SuiteSparse.jl, which ships as part of the Julia standard library.

Julia Wrapper for the KLU sparse matrix solver from SuiteSparse

Sparse Boolean linear algebra for Nvidia Cuda, OpenCL and CPU computations

Python binding for KLU solver

Graph Signal Processing in R

Command line tool for working with matrices from the SuiteSparse Matrix Collection (sparse.tamu.edu)

Test cases demonstrating different sparse matrix libraries

Numerical Linear Algebra meets Machine Learning - PSE Project

Find Eigenvalues and Eigenvectors with Rust using UMFPACK + ARPACK

Graph Algorithms written in the language of linear algebra using Julia and Suite Sparse Graph Blas

SuiteSparse - Owl Interface