python-graphblas
graphblas-algorithms
python-graphblas | graphblas-algorithms | |
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4 | 3 | |
112 | 62 | |
1.8% | - | |
7.7 | 5.7 | |
about 1 month ago | about 1 month ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | Apache License 2.0 |
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python-graphblas
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What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
Core Python library python-graphblas is here: https://github.com/python-graphblas/python-graphblas
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NetworkX 3.0
Great talk!
This slide shows some speedups when using the GraphBLAS [1] backend [2]:
https://i.postimg.cc/mr3mkKtx/100x-Faster-Network-X.png
[1] https://github.com/python-graphblas/python-graphblas
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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/python-graphblas/graphblas-algorithms
with python-graphblas
https://github.com/python-graphblas/python-graphblas
graphblas-algorithms
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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 graphblas-algorithms is here: https://github.com/python-graphblas/graphblas-algorithms
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NetworkX 3.0
GraphBLAS is wrapped by https://github.com/python-graphblas/python-graphblas/ and the algorithms are available at https://github.com/python-graphblas/graphblas-algorithms. NetworkX only dispatches the computation for a subset of algorithms to graphblas-algorithms right now.
If you want the graphblas API in python, https://github.com/python-graphblas/python-graphblas/ is the right place :)
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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/python-graphblas/graphblas-algorithms
with python-graphblas
https://github.com/python-graphblas/python-graphblas
What are some alternatives?
cugraph - cuGraph - RAPIDS Graph Analytics Library
CyRK - Runge-Kutta ODE Integrator Implemented in Cython and Numba
netSALT - Simulation of lasing networks with quantum graphs and SALT theory.
egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation
NumPy - The fundamental package for scientific computing with Python.
SymPy - A computer algebra system written in pure Python
parallel-workers - run a work graph in parallel
SciPy - SciPy library main repository
devops-schedule - how do you order a tree of work correctly where there are dependencies between works
NetworkX - Network Analysis in Python