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networkx

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

17,798stars1,609forksUpdated 1/21/2026

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About networkx

NetworkX is a powerful Python toolkit designed for creating, analyzing, and visualizing complex networks and graphs. It addresses the challenges faced in managing and understanding network data structures by providing a comprehensive suite of functionalities. Users can build intricate networks from raw data, facilitate analysis of relationships between entities, and apply various graph algorithms to derive valuable insights. Whether it’s examining social interactions, biological systems, or transportation routes, NetworkX offers the tools necessary to transform raw data into meaningful visual representations and analyses.

FAQ

What types of graphs can I create with NetworkX?

NetworkX supports undirected graphs, directed graphs, multigraphs, and multidigraphs.

Can I visualize the graphs created in NetworkX?

Yes, NetworkX allows for visualization using libraries like matplotlib or interactive visualization tools.

Is there a limit to the size of the graphs I can analyze?

While NetworkX can handle large graphs, performance may vary depending on the complexity and available system resources.

What algorithms does NetworkX support?

NetworkX includes various algorithms for shortest paths, centrality measures, community detection, and more.

Is NetworkX compatible with other Python libraries?

Yes, NetworkX works well with other Python libraries such as NumPy, SciPy, and Matplotlib.

Install networkx

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill