networkx/networkx

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

17223 stars · 3586 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

NetworkX is a Python library for creating, manipulating, and studying graphs and complex networks. It provides algorithms for shortest paths, centrality, clustering, graph generation, and basic network visualization.

Use cases

• find shortest paths in a weighted graph
• analyze social network structure and centrality
• generate random or synthetic graphs for experiments
• compute connected components and clustering coefficients
• visualize small networks in Python
• model dependencies as a directed graph

When to choose

• you need graph algorithms in pure Python with an easy API
• you are doing exploratory network analysis or teaching graph theory
• your graphs fit in memory and performance is not critical

When to avoid

• you need distributed or out-of-core processing of billion-edge graphs
• you need high-performance GPU-accelerated graph analytics
• you need a graph database with persistent storage and queries

Facets

library · maturity stable

data-visualization math developer-tools data-science data-visualization mathematics python cross-platform graph-theory complex-networks graph-algorithms graph-analysis graph-generation network-analysis algorithms

Member repositories

For agents

markdown · JSON · MCP: product_card(name="networkx/networkx")