graphblas
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The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
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Dec 15, 2025 - C
GraphBLAS for Python
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Jan 16, 2024 - Python
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
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Dec 15, 2025 - Jupyter Notebook
GraphBLAS Template Library (GBTL): C++ graph algorithms and primitives using semiring algebra as defined at graphblas.org
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Jun 16, 2023 - C++
Sparse, General Linear Algebra for Graphs!
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Aug 4, 2025 - Julia
Fast and full-featured Matrix Market I/O library for C++, Python, and R
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Aug 5, 2024 - C++
Graph algorithms written in GraphBLAS
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Oct 6, 2025 - Python
Sparse linear Boolean algebra for Nvidia Cuda
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Nov 17, 2025 - C++
Sparse matrix spy plot and sparkline renderer.
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Nov 18, 2024 - Python
Sparse Boolean linear algebra for Nvidia Cuda, OpenCL and CPU computations
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Aug 19, 2022 - C++
Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.
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Nov 18, 2024 - Python
Functional Graph Database on GraphBLAS
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Dec 29, 2021 - Scala
Benchmark for sparse linear algebra libraries for CPU and GPU platforms.
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Sep 4, 2021 - C++
GPGPU-based GraphBLAS-like API implementation in F# (using Brahma.FSharp and OpenCL)
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Mar 22, 2025 - F#
A centralized benchmarking suite to facilitate comparative profiling of tools across graph analytic libraries and datasets
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Feb 17, 2025 - Python
Graph Algorithms written in the language of linear algebra using Julia and Suite Sparse Graph Blas
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Sep 12, 2021 - Jupyter Notebook
Graph Algorithms written in the language of linear algebra using Julia and Suite Sparse Graph Blas
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Aug 22, 2021 - Jupyter Notebook
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