Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/networkx/networkx
Network Analysis in Python
https://github.com/networkx/networkx
complex-networks graph-algorithms graph-analysis graph-generation graph-theory graph-visualization python spec-0 spec-1 spec-4
Last synced: 6 days ago
JSON representation
Network Analysis in Python
- Host: GitHub
- URL: https://github.com/networkx/networkx
- Owner: networkx
- License: other
- Created: 2010-09-06T00:53:44.000Z (about 14 years ago)
- Default Branch: main
- Last Pushed: 2024-09-25T15:22:02.000Z (about 1 month ago)
- Last Synced: 2024-09-27T09:23:04.143Z (about 1 month ago)
- Topics: complex-networks, graph-algorithms, graph-analysis, graph-generation, graph-theory, graph-visualization, python, spec-0, spec-1, spec-4
- Language: Python
- Homepage: https://networkx.org
- Size: 87.9 MB
- Stars: 14,780
- Watchers: 279
- Forks: 3,218
- Open Issues: 356
-
Metadata Files:
- Readme: README.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE.txt
- Code of conduct: CODE_OF_CONDUCT.rst
Awesome Lists containing this project
- my-awesome-starred - networkx - Official NetworkX source code repository. (Python)
- awesome - networkx - Official NetworkX source code repository. (Python)
- my-awesome-starred - networkx/networkx - Network Analysis in Python (Python)
- awesome-python-machine-learning-resources - GitHub - 5% open · ⏱️ 23.08.2022): (图数据处理)
- awesome-sciml - networkx/networkx: Network Analysis in Python
- Python-Security-Tool-Database - NetworkX - Incredibly thourough network mapping and analysis tool for small and large networks. (Synopsis / Table of Contents)
- awesome-list - NetworkX - A Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. (Graph / Others)
- awesome-list - networkx
- awesome-network-stuff - **6630**星
- starred-awesome - networkx - Official NetworkX source code repository. (Python)
- my-awesome - networkx/networkx - networks,graph-algorithms,graph-analysis,graph-generation,graph-theory,graph-visualization,python,spec-0,spec-1,spec-4 pushed_at:2024-10 star:14.8k fork:3.2k Network Analysis in Python (Python)
- StarryDivineSky - networkx/networkx: Network Analysis in Python
- awesome-systematic-trading - Networkx - commit/networkx/networkx/main) ![GitHub Repo stars](https://img.shields.io/github/stars/networkx/networkx?style=social) | Python | - Network Analysis in Python (Basic Components / Fundamental libraries)
README
NetworkX
========.. image::
https://github.com/networkx/networkx/workflows/test/badge.svg?branch=main
:target: https://github.com/networkx/networkx/actions?query=workflow%3Atest.. image::
https://codecov.io/gh/networkx/networkx/branch/main/graph/badge.svg?
:target: https://app.codecov.io/gh/networkx/networkx/branch/main.. image::
https://img.shields.io/pypi/v/networkx.svg?
:target: https://pypi.python.org/pypi/networkx.. image::
https://img.shields.io/pypi/l/networkx.svg?
:target: https://github.com/networkx/networkx/blob/main/LICENSE.txt.. image::
https://img.shields.io/pypi/pyversions/networkx.svg?
:target: https://pypi.python.org/pypi/networkx.. image::
https://img.shields.io/github/labels/networkx/networkx/good%20first%20issue?color=green&label=contribute
:target: https://github.com/networkx/networkx/contributeNetworkX 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.icsSimple 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 `_.Bugs
----Please report any bugs that you find `here `_.
Or, even better, fork the repository on `GitHub `_
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 `_).License
-------Released under the `3-Clause BSD license `_::
Copyright (C) 2004-2024 NetworkX Developers
Aric Hagberg
Dan Schult
Pieter Swart