Python package for creating and manipulating graphs and networks

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  • License: BSD License (BSD)
  • Author: Aric Hagberg
  • Maintainer: NetworkX Developers
  • Tags Networks, Graph Theory, Mathematics, network, graph, discrete mathematics, math
  • Requires: Python >=3.5
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Project description

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

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Avatar for dschult from gravatar.com dschult Avatar for hagberg from gravatar.com hagberg Avatar for jarrodmillman from gravatar.com jarrodmillman Avatar for MridulS from gravatar.com MridulS Avatar for rossbar from gravatar.com rossbar

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  • License: BSD License (BSD)
  • Author: Aric Hagberg
  • Maintainer: NetworkX Developers
  • Tags Networks, Graph Theory, Mathematics, network, graph, discrete mathematics, math
  • Requires: Python >=3.5
Classifiers

Release history Release notifications | RSS feed

3.4.2

3.4.1

3.4

3.4rc0 pre-release

3.3

3.3rc0 pre-release

3.2.1

3.2

3.2rc0 pre-release

3.1

3.1rc0 pre-release

3.0

3.0rc1 pre-release

3.0b1 pre-release

2.8.8

2.8.7

2.8.6

2.8.5

2.8.4

2.8.3

2.8.2

2.8.1

2.8.1rc1 pre-release

2.8

2.8rc1 pre-release

2.7.1

2.7

2.7rc1 pre-release

2.6.3

2.6.2

2.6.1 yanked

Reason this release was yanked:

Need to resolve: https://github.com/networkx/networkx/pull/4967

2.6 yanked

Reason this release was yanked:

Need to resolve: https://github.com/networkx/networkx/pull/4967

2.6rc2 pre-release

2.6rc1 pre-release

2.5.1

2.5

2.5rc1 pre-release

2.4

2.4rc2 pre-release

2.4rc1 pre-release

2.3

2.3rc4 pre-release

This version

2.3rc3 pre-release

2.2

2.2rc1 pre-release

2.1

2.0

1.11

1.11rc2 pre-release

1.11rc1 pre-release

1.10

1.10rc2 pre-release

1.9.1

1.9

1.9rc1 pre-release

1.8.1

1.8

1.8rc1 pre-release

1.7

1.7rc1 pre-release

1.6

1.6rc1 pre-release

1.5

1.5rc1 pre-release

1.4

1.4rc1 pre-release

1.3

1.3rc1 pre-release

1.2

1.2rc1 pre-release

1.1

1.0.1

1.0

1.0rc1 pre-release

0.99

0.37

0.36

0.35.1

0.35

0.34

0.33

0.32

0.31

0.30

0.29

0.28

0.27

0.26

0.25

0.24

0.23

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