<commit_before>Starman: Kalman filtering for Python
====================================

.. image:: https://travis-ci.org/rjw57/starman.svg?branch=master
    :target: https://travis-ci.org/rjw57/starman

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    :target: https://coveralls.io/github/rjw57/starman?branch=master

Features
--------

Kalman filtering
````````````````

.. image:: example/kalman_filtering.png

A Kalman filtering implementation allows you to estimate the state of any linear
system in the presence of noise.

Copyright and licensing
-----------------------<commit_msg>README: update with some details<commit_after>Starman: Kalman filtering for Python
====================================

.. image:: https://travis-ci.org/rjw57/starman.svg?branch=master
    :target: https://travis-ci.org/rjw57/starman

.. image:: https://coveralls.io/repos/github/rjw57/starman/badge.svg?branch=master
    :target: https://coveralls.io/github/rjw57/starman?branch=master

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    :target: http://starman.readthedocs.org/en/latest/?badge=latest
    :alt: Documentation Status

Starman is a library which implements state estimation and tracking algorithms
in Python. It's designed to be a flexible and re-usable solution.

More `documentation <http://starman.readthedocs.org/en/latest/>`_ is available
on readthedocs.

Features
--------

Currently starman supports the following algorithms:

* Kalman filtering
* Rauch-Tung-Striebel smoothing for the Kalman filter

Copyright and licensing
-----------------------
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