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sbmlsim: SBML simulation made easy

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# sbmlsim: SBML simulation made easy
[![GitHub Actions CI/CD Status](https://github.com/matthiaskoenig/sbmlsim/workflows/CI-CD/badge.svg)](https://github.com/matthiaskoenig/sbmlsim/actions/workflows/main.yml)
[![Version](https://img.shields.io/pypi/v/sbmlsim.svg)](https://pypi.org/project/sbmlsim/)
[![Python Versions](https://img.shields.io/pypi/pyversions/sbmlsim.svg)](https://pypi.org/project/sbmlsim/)
[![MIT License](https://img.shields.io/pypi/l/sbmlsim.svg)](https://opensource.org/licenses/MIT)
[![DOI](https://zenodo.org/badge/55952847.svg)](https://zenodo.org/badge/latestdoi/55952847)

sbmlsim is a collection of python utilities 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
- sensitivity analysis

Documentation is available from [https://matthiaskoenig.github.io/sbmlsim/](https://matthiaskoenig.github.io/sbmlsim/).

If you have any questions or issues please [open an issue](https://github.com/matthiaskoenig/sbmlsim/issues).

## Installation
sbmlutils is available from [pypi](https://pypi.python.org/pypi/sbmlsim) and
can be installed via
```bash
pip install sbmlsim
```

### Develop version
The latest develop version can be installed via
```bash
pip install git+https://github.com/matthiaskoenig/sbmlsim.git@develop
```

## How to cite
[![DOI](https://zenodo.org/badge/55952847.svg)](https://zenodo.org/badge/latestdoi/55952847)

## License
- Source Code: [MIT](https://opensource.org/license/MIT)
- Documentation: [CC BY-SA 4.0](http://creativecommons.org/licenses/by-sa/4.0/)

## Funding
Matthias König is supported and by the German Research Foundation (DFG) within the Research Unit Programme FOR 5151
"QuaLiPerF (Quantifying Liver Perfusion-Function Relationship in Complex Resection -
A Systems Medicine Approach)" by grant number 436883643 and by grant number
465194077 (Priority Programme SPP 2311, Subproject SimLivA).

Matthias König was supported by the Federal Ministry of Education and Research (BMBF, Germany)
within the research network Systems Medicine of the Liver (LiSyM, grant number 031L0054).

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