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A simple python implementation of the W3C PROV data model

Project description

Kleio
=====

`|Build Status| <https://travis-ci.org/tetherless-world/kleio>`_
`|License| <https://github.com/tetherless-world/kleio/blob/master/LICENSE>`_
`|Latest Release| <http://badge.fury.io/py/kleio>`_
`|Downloads| <https://pypi.python.org/pypi/kleio/>`_

A python library for W3C Provenance Data Model supporting PROV-O.

Kleio is free software released under the MIT license.

Features
--------

- An implementation of the W3C PROV Data Model in Python
- Supports serialization and deserialization as PROV-O in RDF/XML,
Turtle, TriG, N3, NTriples, and JSON-LD formats
- Supports provenance-of-provenance (PROV bundles) via named graphs
- Built using `RDFlib <https://github.com/RDFLib/rdflib>`_

Getting Started
---------------

Kleio can be installed from PyPI using the pip installer:

::

You can't use 'macro parameter character #' in math mode python setup.py build_sphinx

And is also available from ReadTheDocs:

http://kleio.readthedocs.org/en/latest

.. |Build
Status| image:: https://travis-ci.org/tetherless-world/kleio.svg?branch=master
.. |License| image:: http://img.shields.io/badge/license-MIT-brightgreen.svg
.. |Latest Release| image:: https://badge.fury.io/py/kleio.svg
.. |Downloads| image:: https://pypip.in/download/kleio/badge.svg

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