Installing NDlib

Before installing NDlib, you need to have setuptools installed.

Quick install

Get NDlib from the Python Package Index at pypl.

or install it with

pip install ndlib

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

You can install the development version with

pip install git://github.com/GiulioRossetti/ndlib.git

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 GitHub source code repository.

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

Source archive file

Download the source (tar.gz or zip file) from pypl or get the latest development version from GitHub

Unpack and change directory to the source directory (it should have the files README.txt and setup.py).

Run python setup.py install to build and install

GitHub

Clone the NDlib repostitory (see GitHub for options)

git clone https://github.com/GiulioRossetti/ndlib.git

Change directory to ndlib

Run python setup.py install to build and install

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 setup.py.

For example

python setup.py install --prefix=/home/username/python

or

python setup.py install --home=~

or

python setup.py 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 http://docs.python.org/2/install/index.html#search-path for further details.

Requirements

Python

To use NDlib you need Python 2.7, 3.2 or later.

The easiest way to get Python and most optional packages is to install the Enthought Python distribution “Canopy” or using Anaconda.

There are several other distributions that contain the key packages you need for scientific computing.

Required packages

The following are packages required by NDlib.

NetworkX

Provides the graph representation used by the diffusion models implemented in NDlib.

Download: http://networkx.github.io/download.html

Optional packages

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

Bokeh

Provides support to the visualization facilities offered by NDlib.

Download: http://bokeh.pydata.org/en/latest/

Other packages

These are extra packages you may consider using with NDlib

IPython, interactive Python shell, http://ipython.scipy.org/