growthcurves: A platform for human-in-the-loop analysis of biological growth curves

Abstract Summary Biological growth curves are widely used but inconsistently analyzed due to fragmented workflows and limited quality control. We present growthcurves , a Python package for extracting growth parameters, and two open-source web applications, MicroGrowth and AutoGrowth, that combine automated fitting with interactive, human-in-the-loop inspection, selective refitting and traceable export for microplate reader and mini-bioreactor datasets in batch or turbidostat cultivation mode. Availability and Implementation growthcurves is implemented in Python and is freely available to non-commercial users at [ https://github.com/biosustain/growthcurves.git ] and through PyPI at [ https://pypi.org/project/growthcurves/ ]. MicroGrowth and AutoGrowth are available at [ https://biosustain.github.io/growthcurves_app/ ], and their source code is available at [ https://github.com/biosustain/growthcurves_app.git ]. Documentation, installation instructions, example datasets and tutorials are available at [ https://growthcurves.readthedocs.io/en/latest/ ]. Contact stefdon@dtu.dk ; cargac@dtu.dk Supplementary Information Supplementary information and Supplementary Methods are available online.