modAL provides a flexible, extensible framework for active learning workflows in Python3. It enables algorithms to interactively query labels from users or other sources to train models more efficiently with less labeled data. Built on scikit-learn, it supports rapid prototyping of active learning pipelines with customizable query strategies and model integration.