Metadata-Version: 2.1
Name: pyluna
Version: 0.3.1
Summary: Transformation functions and services for multi-modal oncology data
Home-page: https://componcmsk.org/msk-mind/
Author: msk-mind
Author-email: CompOncBST@mskcc.org
License: Apache License version 2.0
Project-URL: Bug Tracker, https://github.com/msk-mind/luna/issues
Keywords: radiology,pathology,clinical
Platform: UNKNOWN
Classifier: Framework :: Pytest
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
Provides-Extra: all
Provides-Extra: radiology
Provides-Extra: pathology
Provides-Extra: dev
License-File: LICENSE

<div align="center">
  <img src="https://github.com/msk-mind/luna/raw/1169-readme/docs/img/luna_logo.png" width="500"><br>
</div>

[![MSK-MIND](https://circleci.com/gh/msk-mind/luna.svg?style=shield)](https://circleci.com/gh/msk-mind/luna)
[![codecov](https://codecov.io/gh/msk-mind/luna/branch/master/graph/badge.svg)](https://app.codecov.io/gh/msk-mind/luna)
[![license](https://img.shields.io/github/license/msk-mind/luna)](https://github.com/msk-mind/luna/blob/master/LICENSE)
[![style](https://img.shields.io/badge/code%20style-black-black)](https://img.shields.io/badge/code%20style-black-black)

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

## Install

Luna is available on [PyPI](http://pypi.python.org/pypi/pyluna), and can be installed via ``pip install
pyluna``. For more information about installation and setup, see the [installation 
instructions](https://pyluna.readthedocs.io/en/stable/installation.html). 

## Documentation

See https://pyluna.readthedocs.io

