Skip to main content

pymetadata are python utilities for working with metadata.

Project description

pymetadata logo

pymetadata: python utilities for metadata and COMBINE archives

GitHub Actions CI/CD Status Current PyPI Version Supported Python Versions GNU Lesser General Public License 3 Codecov Zenodo DOI Black mypy

pymetadata is a collection of python utilities for working with metadata in the context of COMBINE standards with source code available from

Features include among others

  • COMBINE archive version 1 support (OMEX)

  • annotation classes and helpers

  • SBO and KISAO ontology enums

If you have any questions or issues please open an issue.


Documentation is still work in progress. For an example usage of the COMBINE archive see src/pymetadata/examples/

How to cite

Zenodo DOI


Contributions are always welcome! Please read the contributing guidelines to get started.


The pymetadata 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.


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) 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).


pymetadata is available from pypi and can be installed via:

pip install pymetadata

Develop version

The latest develop version can be installed via:

pip install git+

Or via cloning the repository and installing via:

git clone
cd pymetadata
pip install -e .

To install for development use:

pip install -e .[development]

© 2021-2022 Matthias König

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymetadata-0.3.11.tar.gz (504.6 kB view hashes)

Uploaded source

Built Distribution

pymetadata-0.3.11-py2.py3-none-any.whl (512.3 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page