graphblas-algorithms
Graph algorithms written in GraphBLAS (by python-graphblas)
parallel-workers
run a work graph in parallel (by samsquire)
| graphblas-algorithms | parallel-workers | |
|---|---|---|
| 3 | 1 | |
| 62 | 4 | |
| - | - | |
| 5.7 | 10.0 | |
| about 1 month ago | almost 2 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.
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.
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.
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.
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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
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.
-
NetworkX 3.0
https://github.com/samsquire/parallel-workers
What are some alternatives?
When comparing graphblas-algorithms and parallel-workers you can also consider the following projects:
cugraph - cuGraph - RAPIDS Graph Analytics Library
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
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