Metadata-Version: 2.1
Name: swh.graph
Version: 0.4.1
Summary: Software Heritage graph service
Home-page: https://forge.softwareheritage.org/diffusion/DGRPH
Author: Software Heritage developers
Author-email: swh-devel@inria.fr
License: UNKNOWN
Project-URL: Bug Reports, https://forge.softwareheritage.org/maniphest
Project-URL: Funding, https://www.softwareheritage.org/donate
Project-URL: Source, https://forge.softwareheritage.org/source/swh-graph
Project-URL: Documentation, https://docs.softwareheritage.org/devel/swh-graph/
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
Provides-Extra: testing
License-File: LICENSE
License-File: AUTHORS

Software Heritage - graph service
=================================

Tooling and services, collectively known as ``swh-graph``, providing fast
access to the graph representation of the `Software Heritage
<https://www.softwareheritage.org/>`_
`archive <https://archive.softwareheritage.org/>`_.  The service is in-memory,
based on a compressed representation of the Software Heritage Merkle DAG.


Bibliography
------------

In addition to accompanying technical documentation, ``swh-graph`` is also
described in the following scientific paper. If you publish results based on
``swh-graph``, please acknowledge it by citing the paper as follows:

.. note::

  Paolo Boldi, Antoine Pietri, Sebastiano Vigna, Stefano Zacchiroli.
  `Ultra-Large-Scale Repository Analysis via Graph Compression
  <https://ieeexplore.ieee.org/document/9054827>`_. In proceedings of `SANER
  2020 <https://saner2020.csd.uwo.ca/>`_: The 27th IEEE International
  Conference on Software Analysis, Evolution and Reengineering, pages
  184-194. IEEE 2020.

  Links: `preprint
  <https://upsilon.cc/~zack/research/publications/saner-2020-swh-graph.pdf>`_,
  `bibtex
  <https://upsilon.cc/~zack/research/publications/saner-2020-swh-graph.bib>`_.


