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Quick install

Get NetworkX from the Python Package Index at

or install it with:

easy_install networkx

and an attempt will be made to find and install an appropriate version that matches your operating system and Python version.

More download file options are at

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 Mercurial source code repository.

NetworkX is a pure Python package; you don’t need a compiler to build or install it.

Source archive file

  1. Download the source (tar.gz or zip file) from or get the latest development version from
  2. Unpack and change directory to the source directory (it should have the files README.txt and
  3. Run “python install” to build and install
  4. (optional) Run “python nosetests” to execute the tests

Mercurial repository

  1. Clone the networkx repostitory

  2. Change directory to “networkx”

  3. Run “python install” to build and install

  4. (optional) Run “python nosetests” to execute the tests

If you don’t have permission to install software on your system, you can install into another directory using the –user, –prefix, or –home flags to

For example

python install --prefix=/home/username/python
python install --home=~
python install --user

If you didn’t install in the standard Python site-packages directory you will need to set your PYTHONPATH variable to the alternate location. See for further details.



To use NetworkX you need Python version 2.6 or later. Most of NetworkX works with Python version 3.1.2 or later.

The easiest way to get Python and most optional packages is to install the Enthought Python distribution

Other options are:



If you are using Fink or MacPorts, Python is available through both of those package systems.


Python is included in all major Linux distributions

Optional packages

The following are optional packages that NetworkX can use to provide additional functions.


Provides matrix representation of graphs and is used in some graph algorithms for high-performance matrix computations.


Provides sparse matrix representation of graphs and many numerical scientific tools.


Provides flexible drawing of graphs.


In conjunction with either

provides graph drawing and graph layout algorithms.


Required for pydot, GML file reading.


Required for YAML format reading and writing.

Other packages

These are extra packages you may consider using with NetworkX