Metadata-Version: 2.1
Name: symmathSBML
Version: 0.1.0
Summary: Symbolic mathematics for SBML Models.
Home-page: https://github.com/ModelEngineering/symmathSBML
Author: Joseph L. Hellerstein, Jin Liu
Author-email: jlheller@uw.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires: tellurium
Requires: jupyterlab
Requires: matplotlib
Requires: nose
Requires: numpy
Requires: pandas
Requires: pip
Requires: pythonlibsbml
Requires: seaborn
Requires: sympy
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# symmathSBML
This package provides sympy symbolic mathematics for SBML models.

## Key Features
* creating sympy Symbols for model species and parameters;
* creating sympy expressions for the equations of the reaction network;
* creating a symbolic Jacobian of the chemical species;
* ability to substitute parameter and species values;
* plot of the sensitivity of the Jacobian to changes in species values.

## Usage Example
Look [here](https://github.com/ModelEngineering/symmathSBML/blob/master/notebooks/Illustrate-SymmathSBML.pdf) for a detailed use case.


