NetworkX – Network Analysis in Python

Re:NetworkX – Network Analysis in Python by Der_Einzige on Friday December 08, 2023 @11:54PM (#38578724)

Igraph and cugraph, and graph tool are far superior for a wide variety of reasons

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Re:NetworkX – Network Analysis in Python by rdedev on Friday December 08, 2023 @11:58PM (#38578742)

I've used igraph. While it's much faster, for me at least, modifying the graph once it's constructed is harder compared to network. Haven't worked with cugraph though. As always use the right tool for the job

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Re:NetworkX – Network Analysis in Python by gkoller on Saturday December 09, 2023 @12:10AM (#38578805)

I would be interested in one that is properly type annotated. None of the options here (NetworkX, igraph, cugraph) are.

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Re:NetworkX – Network Analysis in Python by westurner on Saturday December 09, 2023 @02:01AM (#38579378)

https://news.ycombinator.com/item?id=36922924 :

> pytype (Google) [1], PyAnnotate (Dropbox) [2], and MonkeyType (Instagram) [3] all do dynamic / runtime PEP-484 type annotation type inference [4] to generate type annotations.

Hypothesis generates tests from type annotations; and icontract and pycontracts do runtime type checking.

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Re:NetworkX – Network Analysis in Python by westurner on Saturday December 09, 2023 @02:10AM (#38579424)

/? "networkx" "igraph" "cugraph" site:github.com inurl:awesome https://www.google.com/search?q=%22networkx%22+%22igraph%22+... :

- https://github.com/johnhany/awesome-list#graph lists a few Tensorflow and Pytorch + graphs applications

CuGraph docs > List of Supported and Planned Algorithms: https://docs.rapids.ai/api/cugraph/stable/graph_support/algo...

https://github.com/rapidsai/cugraph#news :

> NEW! nx-cugraph, a NetworkX backend that provides GPU acceleration to NetworkX with zero code change. :

  pip install nx-cugraph-cu11 --extra-index-url https://pypi.nvidia.com
  export NETWORKX_AUTOMATIC_BACKENDS=cugraph

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