semvec/pypi-packages huggingface dataset:
sbmlutils 0.9.6
Python utilities for SBML.
Requires Python: >=3.11
Keywords: COMBINE, SBML, Systems Biology Markup Language, computational modeling, standardization

![sbmlutils logo](https://github.com/matthiaskoenig/sbmlutils/raw/develop/docs_builder/images/sbmlutils-logo-60.png)

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

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)
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 [https://sbml4humans.de](https://sbml4humans.de).
-  file converters (XPP)

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

<a href="https://youtu.be/SxIq8qeXxD0?t=1261">
  <img src="docs/presentations/reproducibility_center_2021/screenshot.png" alt="sbmlutils introduction" height="200">
</a>

## 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/)

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

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

## 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).
SBML4Humans was funded as part of [Google Summer of Code 2021](https://summerofcode.withgoogle.com/).
Matthias König has received funding from the EOSCsecretariat.eu which has received funding 
from the European Union's Horizon Programme call H2020-INFRAEOSC-05-2018-2019, grant Agreement number 831644.

© 2017-2025 Matthias König
flatpak-cargo-generator 0.1.2
Unofficial Pypi distribution of the Flatpak's cargo dependency generator
Requires Python: >=3.9

# Flatpak Cargo Generator

This is an unofficial Pypi distribution of the [flatpak-cargo-generator](https://github.com/flatpak/flatpak-builder-tools/blob/master/cargo/flatpak-cargo-generator.py) script, ensuring library dependencies are installed and the script is available on your PATH as `flatpak-cargo-generator`.

See [here](https://github.com/flatpak/flatpak-builder-tools/blob/master/cargo/README.md) for instructions.

## Create build

```
./build.sh
poetry build
```