python-igraph
Python interface for igraph (by igraph)
python-graphblas
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics (by python-graphblas)
python-igraph | python-graphblas | |
---|---|---|
1 | 4 | |
1,235 | 115 | |
1.1% | 4.3% | |
9.0 | 7.7 | |
6 days ago | 7 days ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 only | 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.
python-igraph
Posts with mentions or reviews of python-igraph.
We have used some of these posts to build our list of alternatives
and similar projects.
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Apple M1arm Vs X86 Amd Lets Put Things Into
I'll check myself in January. I'll get a Macbook Air, and compare it with the 4700U that I also have. I'll compile a graph processing library like python-igraph, feed it a shit ton of data, and launch several processes, to test.
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.
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What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
Core Python library python-graphblas is here: https://github.com/python-graphblas/python-graphblas
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NetworkX 3.0
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
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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
What are some alternatives?
When comparing python-igraph and python-graphblas you can also consider the following projects:
networkit - NetworKit is a growing open-source toolkit for large-scale network analysis.
cugraph - cuGraph - RAPIDS Graph Analytics Library
CyRK - Runge-Kutta ODE Integrator Implemented in Cython and Numba
egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation