In the paper "NDNET: a Unified Framework for Anomaly and Novelty Detection" Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick and Chritian Gruhl present a Python framework that unifies different algorithms for detecting novelties and anomalies in data streams and simplifies experimentation and evaluation in different application areas.