python-graphblas VS graphblas-algorithms

Compare python-graphblas vs graphblas-algorithms and see what are their differences.

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python-graphblas graphblas-algorithms
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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

python-graphblas

Posts with mentions or reviews of python-graphblas. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-17.
  • What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
    5 projects | /r/Python | 17 Apr 2023
    Core Python library python-graphblas is here: https://github.com/python-graphblas/python-graphblas
  • NetworkX 3.0
    8 projects | news.ycombinator.com | 10 Jan 2023
    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

  • GraphBLAS
    3 projects | news.ycombinator.com | 14 Sep 2022
    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

Posts with mentions or reviews of graphblas-algorithms. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-17.
  • What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
    5 projects | /r/Python | 17 Apr 2023
    And algorithms for the NetworkX backend graphblas-algorithms is here: https://github.com/python-graphblas/graphblas-algorithms
  • NetworkX 3.0
    8 projects | news.ycombinator.com | 10 Jan 2023
    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 :)

  • GraphBLAS
    3 projects | news.ycombinator.com | 14 Sep 2022
    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?

When comparing python-graphblas and graphblas-algorithms you can also consider the following projects:

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