NetworkX 3.0

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • NetworkX

    Network Analysis in Python

  • A good place to start specifically for NetworkX would be to go through the new contributor documentation: https://networkx.org/documentation/latest/developer/new_cont...

    We also have some structured projects https://networkx.org/documentation/latest/developer/projects... but they are usually for programs like GSoC/Outreachy.

    Feel free to start a discussion https://github.com/networkx/networkx/discussions if you are looking for something specific :)

    [I am one of the NetworkX devs]

  • python-graphblas

    Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics

  • 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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  • advent-of-code-jq

    Solving Advent of Code with jq

  • This library is in my head also known as "how to solve Advent of Code[0] problems in even fewer lines of Python".

    [0] https://adventofcode.com

  • devops-schedule

    how do you order a tree of work correctly where there are dependencies between works

  • I should add, I also use the resulting dependency graph to parallelise the build.

    So if there's two packer builds that do not depend on eachother, they can run in parallel since they are slow.

    https://github.com/samsquire/devops-schedule

  • parallel-workers

    run a work graph in parallel

  • https://github.com/samsquire/parallel-workers

  • graphblas-algorithms

    Graph algorithms written in GraphBLAS

  • 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 :)

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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