Anomaly Detection Python Packages

pyod

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

sktime

A unified framework for machine learning with time series

adtk

A Python toolkit for rule-based/unsupervised anomaly detection in time series

stumpy

STUMPY is a powerful and scalable Python library for modern time series analysis

drain3

A robust streaming log template miner based on the Drain algorithm

pycaret

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

darts

A python library for user-friendly forecasting and anomaly detection on time series.

u8darts

A python library for user-friendly forecasting and anomaly detection on time series.

nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

pypots

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

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].

spectral

Python module for hyperspectral image processing

finops-mcp

Local-first, AI-native FinOps. Ask your AWS, Azure, GCP, Kubernetes, and SaaS bill anything inside Claude or Cursor. Runs on your machine; credentials never leave it.

rbeast

Bayesian Change-Point Detection and Time Series Decomposition

salesforce-merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

coniferest

Coniferous forests for better machine learning

vus

Volume Under the Surface: Accuracy Measure for Time Series Anomaly Detection

logparser3

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

suod

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

anomaly-grid-py

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

rcf3

Random Cut Forest 3rd

matrixprofile

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

deta

Infrastructure anomaly detection and monitoring tool