networkx

Community

Create, analyze, and visualize networks in Python

AuthorLin-Hi
Version1.0.0
Installs0

System Documentation

What problem does it solve?

NetworkX provides a Python toolkit to create, analyze, and visualize complex networks without heavy external tooling, making graph analytics approachable for developers and researchers.

Core Features & Use Cases

  • Graph creation and manipulation using standard data structures (Graph, DiGraph, MultiGraph, MultiDiGraph)
  • Graph algorithms: shortest paths, centrality, clustering, community detection, flows
  • Graph I/O and interoperability: GraphML, GML, adjacency, edge lists, JSON, Pandas integration
  • Visualization and layout options for publication-quality figures and interactive visualizations
  • Use cases across social, biological, transportation, and knowledge graphs

Quick Start

Install NetworkX and start by creating a Graph, computing a few metrics like degree centrality, and rendering a simple visualization

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: networkx
Download link: https://github.com/Lin-Hi/DeepRead/archive/main.zip#networkx

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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