graphblas-algorithms VS devops-schedule

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

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graphblas-algorithms devops-schedule
3 1
62 9
- -
5.7 10.0
about 1 month ago over 4 years ago
Python 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.
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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

devops-schedule

Posts with mentions or reviews of devops-schedule. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-10.
  • NetworkX 3.0
    8 projects | news.ycombinator.com | 10 Jan 2023
    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

What are some alternatives?

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

cugraph - cuGraph - RAPIDS Graph Analytics Library

advent-of-code-jq - Solving Advent of Code with jq

netSALT - Simulation of lasing networks with quantum graphs and SALT theory.

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

NetworkX - Network Analysis in Python