Anomaly Detection Software

• Chaos Genius
• CueObserve - 2.0 | ✔️
• EGADS - cases in a single package with the only dependency being Java. | GPL | ✔️
• flow-forecast - 3 | ✔️
• Hastic - based UI.| GPL | ✔️
• Luminaire - 2.0 | ✔️
• Orion
• OutlierDetection.jl
• PyOD - Clause | ✔️
• Skyline - time anomaly detection system, built to enable passive monitoring of hundreds of thousands of metrics. | MIT | ✔️
• ADTK - based time series anomaly detection. | MPL 2.0 | ❌
• AnomalyDetection - source R package to detect anomalies which is robust, from a statistical standpoint, in the presence of seasonality and an underlying trend. | GPL | ❌
• Anomalyzer - 2.0 | ❌
• banpei - series. | MIT | ❌
• banshee
• CAD - time AD on streagming data (winner algorithm of the 2016 NAB competition). | AGPL | ❌
• datastream.io - source framework for real-time anomaly detection using Python, Elasticsearch and Kibana. | Apache-2.0 | ❌
• DeepADoTS - based techniques for Anomaly Detection on Time-Series data. | MIT | ❌
• LoudML
• luminol - 2.0 | ❌
• oddstream - 3 | ❌
• PyOdds - to end Python system for outlier detection with database support. PyODDS provides outlier detection algorithms, which support both static and time-series data. | MIT | ❌
• PySAD - Clause | ❌
• rrcf
• Surus - An implementation of the Robust PCA. | Apache-2.0 | ❌
• Telemanom
• Adaptive Alerting - 2.0 | ❌
• Donut - | ❌
• Nupic
• MIDAS - Based Detector of Anomalies in Edge Streams, detects microcluster anomalies from an edge stream in constant time and memory. | Apache-2.0 | ✔️
• ruptures - line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. | BSD 2-Clause | ✔️

Benchmark Datasets

Labeling

• Webscope S5
• NAB
• SKAB
• KPI-Anomaly-Detection

Citation Policy

Labeling

• ![DOI

Related Software

Forecasting

• darts - 2.0 | ✔️
• Prophet - linear trends are fit with yearly and weekly seasonality, plus holidays. | BSD | ✔️
• PyFlux - Clause | ❌
• ETNA - 2.0 | ✔️
• pmdarima - learn-friendly interface. | MIT | ✔️
• GluonTS - 2.0 | ✔️

Labeling

• Curve - source tool to help label anomalies on time-series data. | Apache-2.0 | ❌
• Taganomaly

Time-Series Analysis

• MatrixProfile - 2.0 | ✔️
• Merlion - Clause | ✔️
• SaxPy
• sktime-dl - Clause | ✔️
• Tigramite - dimensional time series datasets and model the obtained causal dependencies for causal mediation and prediction analyses.| GPLv3.0 | ✔️
• tsflex - window feature extraction on multivariate, irregularly-sampled sequence data. | MIT | ✔️
• tslearn - learn, numpy and scipy libraries. | BSD 2-Clause | ✔️
• seglearn - Clause | ❌
• Squey - depth exploration of timeseries while displaying every outliers. | MIT | ✔️
• Kats - stop shop for time series analysis, including detection, forecasting, feature extraction/embedding, multivariate analysis, etc. | MIT | ✔️
• sktime - learn compatible tools to build, tune and validate time series models for multiple learning problems. | BSD 3-Clause | ✔️