README.rst
A python package for Bayesian Inference of gravitational-wave experimental data. |PyPI| |Versions| |License| |TravisCI| |LatestDocs| |CodeClimate| |Coveralls| Installation============= You can download the latest gwin release from pypi using pip :: pip install gwin If you want to install from source then`clone the repository <https://github.com/gwastro/gwin/blob/master/CONTRIBUTING.md>`_and then run the following in your source code directory. :: pip install . Documentation============= - https://gwin.readthedocs.io/ .. -- images ----------------------------------------------------------------- .. |PyPI| image:: https://badge.fury.io/py/gwin.svg :target: https://pypi.org/project/gwin/ :alt: PyPI Version.. |Versions| image:: https://img.shields.io/pypi/pyversions/gwin.svg :target: https://pypi.org/project/gwin/ :alt: Python Versions.. |License| image:: https://img.shields.io/pypi/l/gwin.svg :target: https://choosealicense.com/licenses/gpl-3.0/ :alt: License.. |TravisCI| image:: https://travis-ci.org/gwastro/gwin.svg?branch=master :target: https://travis-ci.org/gwastro/gwin :alt: Travis CI Status.. |LatestDocs| image:: https://readthedocs.org/projects/gwin/badge/?version=latest :target: http://gwin.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status.. |CodeClimate| image:: https://api.codeclimate.com/v1/badges/587c69254181d6564068/maintainability :target: https://codeclimate.com/github/gwastro/gwin/maintainability :alt: Maintainability.. |Coveralls| image:: https://coveralls.io/repos/github/gwastro/gwin/badge.svg?branch=master :target: https://coveralls.io/github/gwastro/gwin?branch=master :alt: Coveralls