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Toolbox for non-linear calibration modeling.

Project description

PyPI version pipeline coverage documentation DOI


This package provides templates and functions for performing likelihood-based calibration modeling. To see implementation examples & excercises, you can go to notebooks/.


calibr8 is released on PyPI:

pip install calibr8


Read the package documentation here.

Usage and Citing

calibr8 is licensed under the GNU Affero General Public License v3.0.

Head over to Zenodo to generate a BibTeX citation for the latest release.

Please cite the paper as:

Helleckes & Osthege et al. (2021). Bayesian calibration, process modeling and uncertainty quantification in biotechnology. bioRxiv.

@article {calibr8,
	author = {Helleckes, Laura Marie and Osthege, Michael and Wiechert, Wolfgang and von Lieres, Eric and Oldiges, Marco},
	title = {Bayesian calibration, process modeling and uncertainty quantification in biotechnology},
	elocation-id = {2021.06.30.450546},
	year = {2021},
	doi = {10.1101/2021.06.30.450546},
	publisher = {Cold Spring Harbor Laboratory},
	URL = {},
	eprint = {},
	journal = {bioRxiv}

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