Search 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.

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].

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.

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

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.

pythresh

Outlier Detection Thresholding

anomaly-grid-py

Python bindings of a Rust library for anomaly detection in finite alphabets using variable-order Markov chains.

tsod

Anomaly Detection for time series data

isotree

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

cleanlab-studio

Client interface to Cleanlab Studio

dataeval

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

quitefastmst

quitefastmst: Euclidean and Mutual Reachability Minimum Spanning Trees

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.

dbsod

Official implementation of "DBSOD: Density-Based Spatial Outlier Detection"

numalogic

Collection of operational time series ML models and tools

visualqc

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

deepod

Deep learning-based outlier/anomaly detection

dataeval-plots

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

adbench

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

pysad

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

deadwood

Deadwood: Outlier Detection via Pruning Mutual Reachability Minimum Spanning Trees