graphblas

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

GraphBLAS for Python

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

GraphBLAS Template Library (GBTL): C++ graph algorithms and primitives using semiring algebra as defined at graphblas.org

Sparse, General Linear Algebra for Graphs!

Fast and full-featured Matrix Market I/O library for C++, Python, and R

Graph algorithms written in GraphBLAS

rust-library to wrap GraphBLAS.h

Sparse linear Boolean algebra for Nvidia Cuda

Sparse matrix spy plot and sparkline renderer.

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

Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.

Functional Graph Database on GraphBLAS

A sparse matrix linear algebra library implementing may of the ideas from the GraphBLAS Forum in Go.

Benchmark for sparse linear algebra libraries for CPU and GPU platforms.

GPGPU-based GraphBLAS-like API implementation in F# (using Brahma.FSharp and OpenCL)

A centralized benchmarking suite to facilitate comparative profiling of tools across graph analytic libraries and datasets

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

This is a library for efficiently computing the closure of a changing graph.

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