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

NetworkX includes debug logging calls using Python’s standard logging mechanism. These can be enabled to help users understand when and how backends are being used.

Nov 24, 2025 · In order to make the most out of NetworkX you will want to know how to write basic programs in Python. Among the many guides to Python, we recommend the Python documentation …

The source code for each module is meant to be easy to read and reading this Python code is actually a good way to learn more about network algorithms, but we have put a lot of effort into making the …

If you do not already have a Python environment configured on your computer, please see the instructions for installing the full scientific Python stack. Below we assume you have the default …

Nov 24, 2025 · NetworkX Basics Graphs Graph Creation Graph Reporting Algorithms Drawing Data Structure Graph types Which graph class should I use? Basic graph types Graph Views Core Views …

is_planar networkx.algorithms.planarity.PlanarEmbedding Planar Drawing combinatorial_embedding_to_pos Graph Polynomials tutte_polynomial chromatic_polynomial …

NetworkX provides data structures and methods for storing graphs. All NetworkX graph classes allow (hashable) Python objects as nodes and any Python object can be assigned as an edge attribute.

Installing from source ¶ You can install from source by downloading a source archive file (tar.gz or zip) or by checking out the source files from the Subversion repository. NetworkX is a pure Python …

The following geospatial examples showcase different ways of performing network analyses using packages within the geospatial Python ecosystem. Example spatial files are stored directly in this …