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!
Graph algorithms written in GraphBLAS
Fast and full-featured Matrix Market I/O library for C++, Python, and R
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.
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