<commit_before>OVERVIEW
--------

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[![Release](https://img.shields.io/github/tag/kadrlica/ugali.svg)](https://github.com/kadrlica/dmsky/releases)
[![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/kadrlica/dmsky)

The ultra-faint galaxy likelihood (UGaLi) toolkit provides a set of python classes and functions developed for maximum-likelihood-based studies of Milky Way satellite galaxies. The primary inputs are stellar object catalogs derived from optical photometric surveys and the coverage masks of those surveys.<commit_msg>Added badges to README.md<commit_after>OVERVIEW
--------

[![Build](https://img.shields.io/travis/kadrlica/ugali.svg)](https://travis-ci.org/kadrlica/ugali)
[![Release](https://img.shields.io/github/tag/kadrlica/ugali.svg)](https://github.com/kadrlica/ugali/releases)
[![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/kadrlica/ugali)

The ultra-faint galaxy likelihood (UGaLi) toolkit provides a set of python classes and functions developed for maximum-likelihood-based studies of Milky Way satellite galaxies. The primary inputs are stellar object catalogs derived from optical photometric surveys and the coverage masks of those surveys.
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