python-graphblas VS parallel-workers

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

python-graphblas

Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics (by python-graphblas)
graphblas suitesparse Python python-wrapper numba graph-algorithms graph-theory complex-networks graph-analysis Linear Algebra pydata graph-datastructures Sparse sparse-data sparse-matrix
Source Code
python-graphblas.readthedocs.io
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parallel-workers

run a work graph in parallel (by samsquire)
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python-graphblas parallel-workers
4 1
112 4
1.8% -
7.7 10.0
about 1 month ago almost 2 years ago
Jupyter Notebook Python
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

parallel-workers

Posts with mentions or reviews of parallel-workers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-10.

What are some alternatives?

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

cugraph - cuGraph - RAPIDS Graph Analytics Library

graphblas-algorithms - Graph algorithms written in GraphBLAS

CyRK - Runge-Kutta ODE Integrator Implemented in Cython and Numba

egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation

python-graphblas vs cugraph parallel-workers vs graphblas-algorithms python-graphblas vs CyRK python-graphblas vs egsis