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networkx 3.6.1

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Python package for creating and manipulating graphs and networks

Python package for creating and manipulating graphs and networks

Stars: 16626, Watchers: 16626, Forks: 3462, Open Issues: 350

The networkx/networkx repo was created 15 years ago and the last code push was 16 hours ago.
The project is extremely popular with a mindblowing 16626 github stars!

How to Install networkx

You can install networkx using pip

pip install networkx

or add it to a project with poetry

poetry add networkx

Package Details

Author
None
License
None
Homepage
None
PyPi:
https://pypi.org/project/networkx/
Documentation:
https://networkx.org/documentation/stable/
GitHub Repo:
https://github.com/networkx/networkx

Classifiers

  • Scientific/Engineering/Bio-Informatics
  • Scientific/Engineering/Information Analysis
  • Scientific/Engineering/Mathematics
  • Scientific/Engineering/Physics
  • Software Development/Libraries/Python Modules
No  networkx  pypi packages just yet.

Errors

A list of common networkx errors.

Code Examples

Here are some networkx code examples and snippets.

GitHub Issues

The networkx package has 350 open issues on GitHub

  • tree.center: raise NotATree for self-loops
  • BUGFIX: spring energy layout with zero iterations
  • Computing normalized rich-club coefficient may lead to ZeroDivisionError
  • Desired semantics: chordal graphs with self-loops
  • Proposal: Optimized Minimal Cycle Basis (MCB) for Planar/Sparse Graphs (300x faster speedup)
  • GSoC 2026 not planned for NetworkX
  • Optimize _build_paths_from_predecessors stack logic for 30-40% speedup
  • Optimize _build_paths_from_predecessors stack logic for 30-40% speedup
  • Fix network simplex callable
  • ENH: Add support for hiding edges for callable capacity or weight parameter
  • DOC: Floating point consideration in negative cycles
  • Doc/add examples and unit tests for betweenness_centrality_subset
  • Bug: Documentation build fails/warns for missing optional dependencies in examples
  • DOC: clarify maximal independent set and relation to cliques
  • Adding optional sp arg to closeness_centrality

See more issues on GitHub

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