Computer Scientist / Neuroscientist
User-friendly machine learning in Python

In the same way as seaborn provides an abstraction of matplotlib’s functionality aiming for powerful data visualization with minor coding, we built julearn on top of scikit-learn.
julearn lets users evaluate machine learning models directly from pandas dataframes, while keeping the flexibility of scikit-learn’s models.
julearn is developed and maintained at the Applied Machine Learning group at Forschungszentrum Jülich. It was the JuRSE Code Pick of the Month in May 2025.
pip install julearn