Metadata-Version: 2.1
Name: voprov
Version: 0.0.3
Summary: A library for IVOA Provenance Data Model supporting PROV-JSON, PROV-XML and PROV-N
Home-page: https://github.com/sanguillon/voprov/
Author: Benjamin Parciany
Author-email: benjamin.parciany@obspm.fr
License: MIT
Keywords: provenance,graph,model,VOPROV,provenance-dm,PROVENANCE-DM,PROV-JSON,JSON,PROV-XML,PROV-N
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: French
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3
Provides-Extra: dot
License-File: LICENSE
License-File: AUTHORS.rst

Introduction
============

A library for IVOA Provenance Data Model supporting PROV-N, PROV-XML, PROV-JSON export

* Free software: MIT license (https://opensource.org/licenses/MIT)
* Documentation: (incoming).

Features
--------

* An implementation of the `IVOA Provenance Data Model <http://www.ivoa.net/documents/ProvenanceDM/>`_ in Python.
* Serialization support: `PROV-N <http://www.w3.org/TR/prov-n/>`_, `PROV-XML <http://www.w3.org/TR/prov-xml/>`_ and `PROV-JSON <http://www.w3.org/Submission/prov-json/>`_.
* Exporting VOPROV documents into various graphical formats (e.g. PDF, PNG, SVG).
* Convert a VOPROV document to a `Prov Document <https://github.com/trungdong/prov>`_.


Uses
----

A short tutorial for using this package is available here:

https://github.com/mservillat/voprov/blob/master/tutorials/voprov_tutorial.ipynb
