Anomaly 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.

sktime

A unified framework for machine learning with time series

drain3

A robust streaming log template miner based on the Drain algorithm

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

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

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.

spectral

Python module for hyperspectral image processing

monai-generative

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

rbeast

Bayesian Change-Point Detection and Time Series Decomposition

salesforce-merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

suod

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

logparser3

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

gvdb

High-performance distributed vector database with gRPC API and high-dimensional vector support

hypercube-rc

Reservoir computer on a Boolean hypercube graph. Sparse XOR-defined connectivity, streaming mode, C++23 and Python SDKs.

matrixprofile

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

anomaly-grid-py

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

vus

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

momentfm

MOMENT: A Family of Open Time-series Foundation Models, ICML'24