======
Luna
======

.. image:: https://circleci.com/gh/msk-mind/luna.svg?style=shield
    :target: https://circleci.com/gh/msk-mind/luna 
.. image:: https://codecov.io/gh/msk-mind/luna/branch/master/graph/badge.svg
    :target: https://app.codecov.io/gh/msk-mind/luna
.. image:: https://img.shields.io/github/license/msk-mind/luna
    :target: https://github.com/msk-mind/luna/blob/master/LICENSE

Welcome
=======
Luna serves as the core computational library for multi-modality oncology data analysis.
Luna features:

* pathology, radiology and clinical data workflows
* A microservice-driven architecture allowing for integrations with other open-source
  libraries
* Tools for building data visualizations and statistical models

Download
========

Luna is (soon to be) `available on PyPI`_, and can be installed via ``pip install
pyluna``. For more information about installation and setup, see the :ref:`installation 
instructions <installation>`. 


Documentation
=============
Below you can find an index of all available documentation to help you to learn about
and use Luna for your data analysis.

.. _available on PyPI: http://pypi.python.org/pypi/pyluna


.. toctree::
   :maxdepth: 2
   
   quickstart
   installation
   user
   modules
   dev
   about
   history

..
    Indices and tables
    ==================
    * :ref:`genindex`
    * :ref:`modindex`
    * :ref:`search`