NetworkX

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

• Website (including documentation): https://networkx.org
• Mailing list: https://groups.google.com/forum/#!forum/networkx-discuss
• Source: https://github.com/networkx/networkx
• Bug reports: https://github.com/networkx/networkx/issues
• Report a security vulnerability: https://tidelift.com/security
• Tutorial: https://networkx.org/documentation/latest/tutorial.html
• GitHub Discussions: https://github.com/networkx/networkx/discussions
• Discord (Scientific Python) invite link: https://discord.com/invite/vur45CbwMz
• NetworkX meetings calendar (open to all): https://scientific-python.org/calendars/networkx.ics

Simple example

Find the shortest path between two nodes in an undirected graph:

.. code:: pycon

>>> import networkx as nx
>>> G = nx.Graph()
>>> G.add_edge("A", "B", weight=4)
>>> G.add_edge("B", "D", weight=2)
>>> G.add_edge("A", "C", weight=3)
>>> G.add_edge("C", "D", weight=4)
>>> nx.shortest_path(G, "A", "D", weight="weight")
['A', 'B', 'D']

Install

Install the latest released version of NetworkX:

.. code:: shell

$ pip install networkx

Install with all optional dependencies:

.. code:: shell

$ pip install networkx[default]

For additional details, please see the installation guide <https://networkx.org/documentation/stable/install.html>_.

Bugs

Please report any bugs that you find here <https://github.com/networkx/networkx/issues>. Or, even better, fork the repository on GitHub <https://github.com/networkx/networkx> and create a pull request (PR). We welcome all changes, big or small, and we will help you make the PR if you are new to git (just ask on the issue and/or see the contributor guide <https://networkx.org/documentation/latest/developer/contribute.html>_).

License

Released under the 3-Clause BSD license <https://github.com/networkx/networkx/blob/main/LICENSE.txt>_::

Copyright (C) 2004-2024 NetworkX Developers
Aric Hagberg <hagberg@lanl.gov>
Dan Schult <dschult@colgate.edu>
Pieter Swart <swart@lanl.gov>