Metadata-Version: 2.1
Name: sbmlutils
Version: 0.4.0
Summary: sbmlutils are utilities for working with SBML.
Home-page: https://github.com/matthiaskoenig/sbmlutils
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/sbmlutils
Project-URL: Source Code, https://github.com/matthiaskoenig/sbmlutils
Project-URL: Documentation, https://sbmlutils.readthedocs.io
Project-URL: Bug Tracker, https://github.com/matthiaskoenig/sbmlutils/issues
Description: .. image:: ./docs_builder/images/sbmlutils-logo-small.png
           :align: left
           :alt: sbmlutils logo
        
        sbmlutils: python utilities for SBML
        ====================================
        
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           :target: https://github.com/matthiaskoenig/sbmlutils/workflows/CI-CD
           :alt: GitHub Actions CI/CD Status
        
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           :alt: Current PyPI Version
        
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           :target: https://pypi.org/project/sbmlutils/
           :alt: Supported Python Versions
        
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           :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/sbmlutils
           :alt: Codecov
        
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           :target: https://sbmlutils.readthedocs.io/en/latest/?badge=latest
           :alt: Documentation Status
        
        .. image:: https://zenodo.org/badge/55952847.svg
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        ``sbmlutils`` is a collection of python utilities for working with
        `SBML <http://www.sbml.org>`__ models implemented on top of
        `libsbml <http://sbml.org/Software/libSBML>`__ and other libraries
        with source code available from `https://github.com/matthiaskoenig/sbmlutils <https://github.com/matthiaskoenig/sbmlutils>`__.
        
        Features include among others
        
        -  helper functions for model creation, manipulation, and annotation
        -  HTML reports of SBML models
        -  interpolation functions to add experimental data to models
        -  file converters (XPP)
        
        The documentation is available on `https://sbmlutils.readthedocs.io <https://sbmlutils.readthedocs.io>`__. 
        If you have any questions or issues please `open an issue <https://github.com/matthiaskoenig/sbmlutils/issues>`__.
        
        How to cite
        ===========
        .. image:: https://zenodo.org/badge/55952847.svg
           :target: https://zenodo.org/badge/latestdoi/55952847
           :alt: Zenodo DOI
        
        Contributing
        ============
        
        Contributions are always welcome! Please read the `contributing guidelines
        <https://github.com/matthiaskoenig/sbmlutils/blob/devel/CONTRIBUTING.rst>`__ to
        get started.
        
        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 sbmlutils 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
        ============
        `sbmlutils` is available from `pypi <https://pypi.python.org/pypi/sbmlutils>`__ and 
        can be installed via:: 
        
            pip install sbmlutils
        
        Requirements
        ------------
        `tkinter` is required which can be installed on linux via::
        
            apt-get install python-tk
            apt-get install python3-tk
        
        Please see the respective installation instructions for your operating system.
        
        Develop version
        ---------------
        The latest develop version can be installed via::
        
            pip install git+https://github.com/matthiaskoenig/sbmlutils.git@develop
        
        Or via cloning the repository and installing via::
        
            git clone https://github.com/matthiaskoenig/sbmlutils.git
            cd sbmlutils
            pip install -e .
        
        © 2017-2020 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 :: 3.6
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: >=3.6
Description-Content-Type: text/x-rst
Provides-Extra: development
