PEPPER is a package developed by the Fenner Labs for analyzing and modeling persistence of micropollutants in different environments.
The PEPPER library may be installed using:
pip install pepper-lab
Follow these steps to reproduce the workflows and results from previous publications:
Clone the repository
git clone https://github.com/FennerLabs/pepper
cd pepper
Fetch the files from github
git lfs fetch --all
git lfs pull
We also recommend creating a dedicated virtual environment with python 3.12 as base
python -m venv pepper_env
source pepper_env/bin/activate
We have included all requirements in the pyproject.toml file so all dependencies may be installed as follows
pip install .
Here's how to reproduce the data and the figures from the publication:
cd scripts
python bayesian_inference_main.py
Current Opportunities and Limitations in Predicting Micropollutant Removal in Wastewater Treatment based on Molecular Structure - Cordero et al., 2025
In this project we include methods to model the breakthrough of micropollutants in wastewater treatment plants. Main results can be reproduced as follows:
cd scripts
predict_breakthrough_wwtp.py
Please refer to the main publication for further details
Confidently uncertain: Probabilistic machine learning to predict soil biotransformation half-lives - Salz et al., 2026
All data and code needed to reproduce the analyses figures from the publication:
cd scripts
python predict_soil_halflives.py
Use this link to start a session and test PEPPER
We also have a pepper_app
