Metadata-Version: 1.2
Name: epydemic
Version: 1.7.2
Summary: Epidemic network simulations in Python
Home-page: http://github.com/simoninireland/epydemic
Author: Simon Dobson
Author-email: simoninireland@gmail.com
License: License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)
Description: epydemic: Epidemic simulations on networks in Python
        =====================================================
        
        .. image:: https://badge.fury.io/py/epydemic.svg
            :target: https://badge.fury.io/py/epydemic
        
        .. image:: https://readthedocs.org/projects/pyepydemic/badge/?version=latest
            :target: https://pyepydemic.readthedocs.io/en/latest/index.html
        
        .. image:: https://github.com/simoninireland/epydemic/actions/workflows/ci.yaml/badge.svg
            :target: https://github.com/simoninireland/epydemic/actions/workflows/ci.yaml
        
        Overview
        --------
        
        ``epydemic`` is a Python library that implements simulations of
        epidemic (and other) processes on networks. Epidemic processes are
        very important in both network science and its applications. The most
        common application is to study the ways in which diseases progress in
        different network conditions, depending on their infectiousness and
        other properties.
        
        ``epydemic`` provides simulation under synchronous and stochastic
        (Gillespie) dynamics, using the well-known ``networkx`` package to
        represent and manipulate networks. It supports a generic model for
        compartmented models of disease with several standard models provided
        and which can be extended to other, more complex, diseases. It also
        supports other network processes such as addition-deletion networks,
        and a library for handling generating functions used in network
        analysis.
        
        ``epydemic`` is built on top of the ``epyc`` experiment management
        library, allowing simulations to be conducted at scale on individual
        machines, multicore machines, and parallel computing clusters.
        
        
        Installation
        ------------
        
        You can install ``epydemic`` directly from PyPi using ``pip``:
        
        ::
        
           pip install epydemic
        
        The master distribution of ``epydemic`` is hosted on GitHub. To obtain a
        copy, just clone the repo:
        
        ::
        
            git clone git@github.com:simoninireland/epydemic.git
            cd epydemic
            python setup.py install
        
        
        
        Documentation
        -------------
        
        API documentation for `epydemic` is available on `ReadTheDocs <https://pyepydemic.readthedocs.io/en/latest/>`_
        (please note the slightly different project name).
        
        
        
        Author and license
        ------------------
        
        Copyright (c) 2017-2021, Simon Dobson <simoninireland@gmail.com>
        
        Licensed under the `GNU General Public License v2 or later (GPLv2+) <http://www.gnu.org/licenses/gpl.html>`_.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
