Novelty Detection Python Packages

pyod

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

fastdup

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

pytorch-ood

👽 Out-of-Distribution Detection with PyTorch

detectors

Python package to accelerate research on generalized out-of-distribution (OOD) detection.

segmentae

SegmentAE: A Python Library for Anomaly Detection Optimization

density-forest

Density Forests for Uncertainty, SIE Master Project, EPFL, Spring Semester 2018

robust-deep-learning

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

ecf

Python package providing an anomaly (outlier and novelty) detector based on the empirical Christoffel function.