Graph Analytics with NetworkX
NetworkX represents graphs as dict-of-dicts adjacency structures with arbitrary node/edge attributes, providing shortest paths, connected components, community detection, and centrality out of the box. Its pure-Python design tops out around millions of edges; beyond that the same algorithms run on igraph, rustworkx, or GPU-backed cuGraph with NetworkX-compatible APIs.
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NetworkX represents graphs as dict-of-dicts adjacency structures with arbitrary node/edge attributes, providing shortest paths, connected components, community detection, and centrality out of the box. Its pure-Python design tops out around millions of edges; beyond that the same algorithms run on igraph, rustworkx, or GPU-backed cuGraph with NetworkX-compatible APIs.
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