Metadata-Version: 2.1
Name: hypernetx
Version: 0.1.9
Summary: HyperNetX is a Python library for the creation and study of hypergraphs.
Home-page: https://github.com/pnnl/HyperNetX
Author: Brenda Praggastis, Dustin Arendt, Emilie Purvine, Cliff Joslyn
Author-email: hypernetx@pnnl.gov
License: 3-Clause BSD license
Platform: UNKNOWN
Requires-Dist: networkx (<3.0,>=2.2)
Requires-Dist: numpy (<2.0,>=1.15.0)
Requires-Dist: scipy (<2.0,>=1.1.0)
Requires-Dist: matplotlib (>3.0)
Requires-Dist: scikit-learn (>=0.20.0)
Provides-Extra: all
Requires-Dist: sphinx (>=1.8.2) ; extra == 'all'
Requires-Dist: nb2plots (>=0.6) ; extra == 'all'
Requires-Dist: sphinx-rtd-theme (>=0.4.2) ; extra == 'all'
Requires-Dist: pytest (>=4.0) ; extra == 'all'
Requires-Dist: jupyter (>=1.0) ; extra == 'all'
Requires-Dist: pandas (>=0.23) ; extra == 'all'
Provides-Extra: documentation
Requires-Dist: sphinx (>=1.8.2) ; extra == 'documentation'
Requires-Dist: nb2plots (>=0.6) ; extra == 'documentation'
Requires-Dist: sphinx-rtd-theme (>=0.4.2) ; extra == 'documentation'
Provides-Extra: notebooks
Requires-Dist: jupyter (>=1.0) ; extra == 'notebooks'
Requires-Dist: pandas (>=0.23) ; extra == 'notebooks'
Provides-Extra: testing
Requires-Dist: pytest (>=4.0) ; extra == 'testing'
Provides-Extra: tutorials
Requires-Dist: jupyter (>=1.0) ; extra == 'tutorials'
Requires-Dist: pandas (>=0.23) ; extra == 'tutorials'


Hnxbeta is a development version of HyperNetX
intended for super users to test and give feedback.
Please install in a virtual environment and send comments 
and bug reports to `hypernetx@pnnl.gov`. 

The HyperNetX library provides classes and methods for complex network data.
HyperNetX uses data structures designed to represent set systems containing
nested data and/or multi-way relationships. The library generalizes traditional
graph metrics to hypergraphs. It can be found at `https://github.com/pnnl/HyperNetX`

Hnxbeta has C++ support available from the NWHypergraph library.
It is available via `pip install nwhy`.
This library is still in development and will be updated frequently on PyPI.
At present it is only available for OSX and Centos7.
To use, first `conda install tbb` in your environment, note that pip does not
install the correct version of tbb at present.


