bandicoot 0.5.2

A toolbox to analyze mobile phone metadata.

bandicoot (http://bandicoot.mit.edu) is Python toolbox to analyze mobile phone metadata. It provides a complete, easy-to-use environment for data-scientist to analyze mobile phone metadata. With only a few lines of code, load your datasets, visualize the data, perform analyses, and export the results.

Where to get it

The source code is currently hosted on Github at https://github.com/yvesalexandre/bandicoot. Binary installers for the latest released version are available at the Python package index:

http://pypi.python.org/pypi/bandicoot/

And via easy_install:

easy_install bandicoot

or pip:

pip install bandicoot

Dependencies

bandicoot has no dependencies, which allows users to easily compute indicators on a production machine. To run tests and compile the visualization, optional dependencies are needed:

• nose, numpy, scipy, and networkx for tests,

• npm to compile the js and css files of the dashboard.

Licence

MIT

Documentation

The official documentation is hosted on http://bandicoot.mit.edu/docs. It includes a quickstart tutorial, a detailed reference for all functions, and guides on how to use and extend bandicoot.