Metadata-Version: 2.1
Name: sbmlsim
Version: 0.1.10
Summary: sbmlsim are utilities for simulation of SBML.
Home-page: https://github.com/matthiaskoenig/sbmlsim
Author: Matthias Koenig
Author-email: konigmatt@googlemail.com
Maintainer: Matthias Koenig
Maintainer-email: konigmatt@googlemail.com
License: LGPL-3.0
Download-URL: https://pypi.org/project/sbmlsim
Project-URL: Source Code, https://github.com/matthiaskoenig/sbmlsim
Project-URL: Documentation, https://sbmlsim.readthedocs.io
Project-URL: Bug Tracker, https://github.com/matthiaskoenig/sbmlsim/issues
Description: sbmlsim: SBML simulation made easy
        ==================================
        
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           :target: https://github.com/matthiaskoenig/sbmlsim/workflows/CI-CD
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        .. image:: https://img.shields.io/pypi/v/sbmlsim.svg
           :target: https://pypi.org/project/sbmlsim/
           :alt: Current PyPI Version
        
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           :alt: Supported Python Versions
        
        .. image:: https://img.shields.io/pypi/l/sbmlsim.svg
           :target: http://opensource.org/licenses/LGPL-3.0
           :alt: GNU Lesser General Public License 3
        
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           :target: https://codecov.io/gh/matthiaskoenig/sbmlsim
           :alt: Codecov
        
        .. image:: https://readthedocs.org/projects/sbmlsim/badge/?version=latest
           :target: https://sbmlsim.readthedocs.io/en/latest/?badge=latest
           :alt: Documentation Status
        
        .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3597770.svg
           :target: https://doi.org/10.5281/zenodo.3597770
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        .. image:: https://img.shields.io/badge/code%20style-black-000000.svg
           :target: https://github.com/ambv/black
           :alt: Black
        
        
        sbmlsim is a collection of python utilities to simulate to simplify simulations with
        `SBML <http://www.sbml.org>`__ models implemented on top of
        `roadrunner <http://libroadrunner.org/>`__. Source code is available from
        `https://github.com/matthiaskoenig/sbmlsim <https://github.com/matthiaskoenig/sbmlsim>`__.
        
        Features include among others
        
        -  simulation experiments
        -  simulation reports
        -  parameter fitting
        
        The documentation is available on `https://sbmlsim.readthedocs.io <https://sbmlsim.readthedocs.io>`__.
        If you have any questions or issues please `open an issue <https://github.com/matthiaskoenig/sbmlsim/issues>`__.
        
        
        How to cite
        ===========
        .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3597770.svg
           :target: https://doi.org/10.5281/zenodo.3597770
           :alt: Zenodo DOI
        
        License
        =======
        
        * Source Code: `LGPLv3 <http://opensource.org/licenses/LGPL-3.0>`__
        * Documentation: `CC BY-SA 4.0 <http://creativecommons.org/licenses/by-sa/4.0/>`__
        
        The sbmlsim source is released under both the GPL and LGPL licenses version 2 or
        later. You may choose which license you choose to use the software under.
        
        This program is free software: you can redistribute it and/or modify it under
        the terms of the GNU General Public License or the GNU Lesser General Public
        License as published by the Free Software Foundation, either version 2 of the
        License, or (at your option) any later version.
        
        This program is distributed in the hope that it will be useful, but WITHOUT ANY
        WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
        PARTICULAR PURPOSE. See the GNU General Public License for more details.
        
        Funding
        =======
        Matthias König is supported by the Federal Ministry of Education and Research (BMBF, Germany)
        within the research network Systems Medicine of the Liver (**LiSyM**, grant number 031L0054).
        
        Installation
        ============
        ``sbmlsim`` is available from `pypi <https://pypi.python.org/pypi/sbmlsim>`__ and
        can be installed via::
        
            pip install sbmlsim
        
        Requirements
        ------------
        
        HDF5 support is required which can be installed on linux via::
        
            sudo apt-get install -y libhdf5-serial-dev
        
        Develop version
        ---------------
        The latest develop version can be installed via::
        
            pip install git+https://github.com/matthiaskoenig/sbmlsim.git@develop
        
        Or via cloning the repository and installing via::
        
            git clone https://github.com/matthiaskoenig/sbmlsim.git
            cd sbmlsim
            pip install -e .
        
        To install for development use::
        
            pip install -e .[development]
            
        © 2019-2020 Matthias König
        
Keywords: modeling,standardization,SBML
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
Provides-Extra: development
