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.

A Python Library for Outlier and Anomaly Detection on Tabular, Text, and Image Data

An open-source, low-code machine learning library in Python

A unified framework for machine learning with time series

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

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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 🚀.

Anomaly Detection with R

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

List of tools & datasets for anomaly detection on time-series data.

A curated list of awesome anomaly detection resources

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A high-level machine learning and deep learning library for the PHP language.

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

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

Find big moving stocks before they move using machine learning and anomaly detection

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

TODS: An Automated Time-series Outlier Detection System

A Python Library for Graph Outlier Detection (Anomaly Detection)

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

Unsupervised time series anomaly detection library

Kibana Alert & Report App for Elasticsearch