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graphblasalgorithms reviews and mentions

What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
And algorithms for the NetworkX backend graphblasalgorithms is here: https://github.com/pythongraphblas/graphblasalgorithms

NetworkX 3.0
GraphBLAS is wrapped by https://github.com/pythongraphblas/pythongraphblas/ and the algorithms are available at https://github.com/pythongraphblas/graphblasalgorithms. NetworkX only dispatches the computation for a subset of algorithms to graphblasalgorithms right now.
If you want the graphblas API in python, https://github.com/pythongraphblas/pythongraphblas/ is the right place :)

GraphBLAS
GraphBLAS is underrated and underused IMHO. If you use e.g. scipy.sparse, NetworkX, or similar, you should check out GraphBLAS. It is really fast even compared to scipy.sparse, and more capable in many ways.
They've actually started implementing the NetworkX API
https://github.com/pythongraphblas/graphblasalgorithms
with pythongraphblas

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pythongraphblas/graphblasalgorithms is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of graphblasalgorithms is Python.