NetworkX – Network Analysis in Python
networkx.org
NetworkX – Network Analysis in Python
1–10 of 65 posts
Re: NetworkX – Network Analysis in Python
#2Very useful library. Representing large networks with graphs is super useful.
Re: NetworkX – Network Analysis in Python
#3used this throughout my ML on graphs grad course this sem, it’s a really neat library
Re: NetworkX – Network Analysis in Python
#4Love it. Using it for load balancing of substation transformers. The grid is a graph.
Re: NetworkX – Network Analysis in Python
#5The "N" in HN stands for "news". Is there anything new about networkx to talk about?
Re: NetworkX – Network Analysis in Python
#6Igraph and cugraph, and graph tool are far superior for a wide variety of reasons
Re: NetworkX – Network Analysis in Python
#7Igraph and cugraph, and graph tool are far superior for a wide variety of reasons
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
Re: NetworkX – Network Analysis in Python
#8Igraph and cugraph, and graph tool are far superior for a wide variety of reasons
I would be interested in one that is properly type annotated. None of the options here (NetworkX, igraph, cugraph) are.
Re: NetworkX – Network Analysis in Python
#9Happy user of NetworkX since 2009!
Re: NetworkX – Network Analysis in Python
#10Been a few years since I put NetworkX through its paces, but the several times I have tried it, found remarkably weak support for graph layout and display. NetworkX analytic routines may be strong, but attractively displaying graph-structured problems remarkably more interactive and attractive via d3.js, GraphViz, etc. At least for my problems, communicating graph structures, and having nodes and edges that represent different kinds of things…these are basic requirements, not optional frills.