networkx

Creates, analyzes, and visualizes complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks (random, scale-free, small-world), reading/writing graph file formats, or drawing network topologies. Common applications include social, biological, transportation, and citation networks.

Version

1.4

License

3-clause BSD license

Compatibility

Requires Python >=3.12 (excluding 3.14.1) and NetworkX 3.7. NumPy, SciPy, pandas and Matplotlib support numerical, tabular and drawing examples; optional integrations need their own packages. No credentials; network needed only for installation or remote data.