yzhao062/pyod
PyOD is a comprehensive Python library for multi-modal anomaly detection, offering 60+ detectors and an agentic workflow for AI agents to drive investigations across various data types.
Awesome AI for Infra › Anomaly Detection
Anomaly Detection
datamllab/tods
TODS is a comprehensive automated machine learning system for multivariate time-series outlier detection, providing modules for preprocessing, feature extraction, and a wide array of detection algo...
sintel-dev/Orion
Orion is an open-source machine learning library from MIT's Data to AI Lab, focused on unsupervised time series anomaly detection using various AI-driven pipelines.
khundman/telemanom
Telemanom is a framework using LSTMs and automatic thresholding for unsupervised anomaly detection in multivariate time series data, originally developed for spacecraft telemetry.
MentatInnovations/datastream.io
datastream.io is an open-source framework for real-time anomaly detection in streaming data using Python, Elasticsearch, and Kibana.
zillow/luminaire
Luminaire is a Python package from Zillow that provides ML-driven solutions for monitoring time series data through automated anomaly detection and forecasting.
Stream-AD/MIDAS
MIDAS is a C++ implementation for real-time anomaly detection in dynamic, time-evolving graphs, designed to identify intrusions, fraud, and fake rating anomalies with high accuracy and speed.
activecm/rita
RITA (Real Intelligence Threat Analytics) is an open-source framework that detects command and control (C2) communication by analyzing network traffic, identifying beaconing, long connections, DNS ...
earthgecko/skyline
Skyline is a real-time anomaly detection and time series analysis system designed for passive monitoring of numerous high-resolution metrics without pre-configured models or thresholds.
xuhongzuo/DeepOD
DeepOD is an open-source Python library providing a unified API for 27 deep learning-based outlier and anomaly detection algorithms for tabular and time-series data.
kLabUM/rrcf
rrcf provides a Python implementation of the Robust Random Cut Forest algorithm for anomaly detection on streaming data, designed for high-dimensional datasets.
GACWR/OpenUBA
OpenUBA is a robust, flexible, and open-source User and Entity Behavior Analytics (UEBA) framework designed for security analytics, featuring an 'open-model' approach.
d0ng1ee/logdeep
LogDeep is an open-source deep learning-based toolkit for automated log anomaly detection, implementing state-of-the-art models like DeepLog, LogAnomaly, and RobustLog.
jixinpu/aiopstools
AIopstools is a Python toolkit offering fundamental AI-driven functionalities for IT operations, including anomaly detection, alarm convergence, time series forecasting, and alarm association analy...