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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.

When using calibr8 in your work, please cite the Helleckes & Osthege et al. (2022) paper and the corresponding software version.

Note that the paper is a shared first co-authorship, which can be indicated by 1 in the bibliography.

  doi       = {10.1371/journal.pcbi.1009223},
  author    = {Helleckes$^1$, Laura Marie and
  	       Osthege$^1$, Michael and
	       Wiechert, Wolfgang and
	       von Lieres, Eric and
	       Oldiges, Marco},
  journal   = {PLOS Computational Biology},
  publisher = {Public Library of Science},
  title     = {Bayesian and calibration, process modeling and uncertainty quantification in biotechnology},
  year      = {2022},
  month     = {03},
  volume    = {18},
  url       = {},
  pages     = {1-46},
  number    = {3}

  author    = {Michael Osthege and
               Laura Helleckes},
  title     = {JuBiotech/calibr8: v6.5.2},
  month     = mar,
  year      = 2022,
  publisher = {Zenodo},
  version   = {v6.5.2},
  doi       = {10.5281/zenodo.4127012},
  url       = {}

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

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