scikit-ferm 0.1.2

A scikit-learn compatible package for fermentations.

scikit-ferm

scikit-ferm is a Python package designed to generate synthetic fermentation datasets and model microbial growth dynamics. Whether you're studying food fermentation (like yogurt production) or simulating microbial behavior for research and development, scikit-ferm provides flexible tools to create realistic datasets based on established growth models.

The official documentation is hosted here.

Installation

Install scikit-ferm via pip with:

uv pip install scikit-ferm

Alternatively, to edit and contribute you can fork/clone and run:

git clone https://github.com/Aschwins/scikit-ferm.git
uv sync

Use cases

Use Case	Modules	Notebook	Documentation
Generate synthetic fermentation datasets	•skferm.datasets.generate_synthetic_growth •skferm.datasets.rheolaser	📓 Notebook	📚 Docs
Growth modeling	• skferm.growth_models.gompertz • skferm.growth_models.logistic	📓 Notebook	📚 Docs
Curve smoothing	• skferm.curve_smoothing.smooth	📓 Notebook	📚 Docs

Examples

Jupyter notebooks are used to demonstrate examples. You can find the notebooks in the notebooks directory. Each example describes a use case. To run the examples you need to install scikit-ferm with an additional dependencies and start Jupyter Lab.

uv sync
jupyter lab