A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

A curated list of awesome anomaly detection resources

Kibana Alert & Report App for Elasticsearch

Algorithms for outlier, adversarial and drift detection

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Anomaly detection

Tidy anomaly detection

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

Anomaly detection for streaming time series, featuring automated model selection.

Datasets for Predictive Maintenance

An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"

Anomaly detection tutorial on univariate time series with an auto-encoder

2D Outlier Analysis using Shiny

This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable for production server use.

Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping

Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

Time-Series Anomaly Detection Comprehensive Benchmark

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

Examples of not obvious behaviors for javascript beginner programmers