{ "info": { "author": "Yves-Alexandre de Montjoye", "author_email": "yvesalexandre@demontjoye.com", "bugtrack_url": null, "classifiers": [ "Environment :: Plugins", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Scientific/Engineering :: Mathematics" ], "description": "=========\nbandicoot\n=========\n\n.. image:: https://img.shields.io/pypi/v/bandicoot.svg\n :target: https://pypi.python.org/pypi/bandicoot\n :alt: Version\n \n.. image:: https://img.shields.io/pypi/l/bandicoot.svg\n :target: https://github.com/yvesalexandre/bandicoot/blob/master/LICENSE\n :alt: MIT License\n\n.. image:: https://img.shields.io/pypi/dm/bandicoot.svg\n :target: https://pypi.python.org/pypi/bandicoot\n :alt: PyPI downloads\n\n.. image:: https://img.shields.io/travis/yvesalexandre/bandicoot.svg\n :target: https://travis-ci.org/yvesalexandre/bandicoot\n :alt: Continuous integration\n\n.. begin\n\n**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.\n\n.. image:: https://raw.githubusercontent.com/yvesalexandre/bandicoot/master/docs/_static/bandicoot-dashboard.png\n :alt: Bandicoot interactive visualization\n\n---------------\nWhere to get it\n---------------\n\nThe 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:\n\n http://pypi.python.org/pypi/bandicoot/\n\nAnd via `easy_install`:\n\n.. code-block:: sh\n\n easy_install bandicoot\n\nor `pip`:\n\n.. code-block:: sh\n\n pip install bandicoot\n\n------------\nDependencies\n------------\n\nbandicoot 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:\n\n- `nose `_, `numpy `_, `scipy `_, and `networkx `_ for tests,\n- `npm `_ to compile the js and css files of the dashboard.\n\n-------\nLicence\n-------\n\nMIT\n\n-------------\nDocumentation\n-------------\n\nThe 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. You can also check out our `interactive training notebooks `_ to learn how to download your own data from your mobile phone and load it into bandicoot to visualize it or to learn how to use bandicoot indicators in *scikit-learn*.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/yvesalexandre/bandicoot", "keywords": null, "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "bandicoot", "package_url": "https://pypi.org/project/bandicoot/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/bandicoot/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/yvesalexandre/bandicoot" }, "release_url": "https://pypi.org/project/bandicoot/0.5.3/", "requires_dist": null, "requires_python": null, "summary": "A toolbox to analyze mobile phone metadata.", "version": "0.5.3" }, "last_serial": 2256784, "releases": { 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