High productivity software for complex networks

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

Quick Example

>>> import networkx as nx >>> G=nx.Graph() >>> G.add_node("spam") >>> G.add_edge(1,2) >>> print(G.nodes()) [1, 2, 'spam'] >>> print(G.edges()) [(1, 2)]

Documentation

Tutorial start here Reference guide to all functions and classes Examples using the library Gallery network drawings

Contents a complete overview Search Page search the documentation General Index all functions, classes, terms Module Index quick access to all documented modules

Features

• Standard graph-theoretic and statistical physics functions
• Easy exchange of network algorithms between applications, disciplines, and platforms
• Many classic graphs and synthetic networks
• Nodes and edges can be "anything" (e.g. time-series, text, images, XML records)
• Exploits existing code from high-quality legacy software in C, C++, Fortran, etc.
• Open source BSD license
• More than 1000 unit tests

Additional benefits from Python

• Fast prototyping of new algorithms
• Easy to teach
• Multi-platform
• Allows easy access to almost any database