Outlier 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.

tsmoothie

A python library for time-series smoothing and outlier detection in a vectorized way.

cleanlab

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

pynomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

suod

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

handyspark

HandySpark - bringing pandas-like capabilities to Spark dataframes

anomaly-grid-py

Deviation detection using variable-order Markov-chains in finite alphabet sequences

pythresh

Outlier Detection Thresholding

tsod

Anomaly Detection for time series data

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.

cleanlab-studio

Client interface for all things Cleanlab Studio

dataeval-plots

Python library for analyzing data quality and its impact on model performance across classification and object-detection tasks.

dataeval

Python library for analyzing data quality and its impact on model performance across classification and object-detection tasks.

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

isotree

(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

quitefastmst

quitefastmst: Euclidean and Mutual Reachability Minimum Spanning Trees

adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

visualqc

Assistive tool for the quality control of neuroimaging data

isolation-forest-onnx

A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

numalogic

Collection of operational Machine Learning models and tools.

nonconform

Conformal Anomaly Detection & Change-Point Detection

detectors

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

deadwood

Deadwood: Outlier Detection via Pruning Mutual Reachability Minimum Spanning Trees