.. ASH documentation master file, created by sphinx-quickstart on Fri Mar 24 12:34:18 2023. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive.

Welcome to ASH's documentation!
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``ash_model`` is a Python software package that allows to represent and analyze dynamic hypergraphs enriched with node attributes.

If you would like to test ``ash_model`` functionalities without installing it on your machine consider using the preconfigured Jupyter Hub instances offered by the H2020 `SoBigData++`_ research project.


================ =================== ==================  ==========  ===============
   **Date**      **Python Versions**   **Main Author**   **GitHub**      **pypl**
      2025                 3.9       `Giulio Rossetti`_  `Source`_   `Distribution`_
================ =================== ==================  ==========  ===============


^^^^^^^^^^^^
Ash Dev Team
^^^^^^^^^^^^

======================= ==============================
**Name**                **Contribution**
`Giulio Rossetti`_      Library Design, Implementation
`Andrea Failla`_        Library Design, Implementation, Documentation
`Salvatore Citraro`_    Implementation
======================= ==============================

.. toctree::
   :maxdepth: 1
   :hidden:

   overview.rst
   reference/reference.rst
   tutorial.rst
   install.rst

.. _`Giulio Rossetti`: http://www.about.giuliorossetti.net
.. _`Andrea Failla`: https://andreafailla.github.io
.. _`Salvatore Citraro`: https://github.com/dsalvaz
.. _`Source`: https://github.com/GiulioRossetti/ASH
.. _`Distribution`: https://pypi.python.org/pypi/ash_model
.. _`SoBigData++`: https://sobigdata.d4science.org/group/sobigdata-gateway/explore?siteId=20371853