A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
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Updated
Jul 18, 2020 - Python
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
(THIS VERSION IS NOT MAINTAINED, see note below) Siren Platform + Kibana Alert & Report App for Elasticsearch
A curated list of awesome anomaly detection resources
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
Algorithms for outlier and adversarial instance detection, concept drift and metrics.
Anomaly detection for streaming time series, featuring automated model selection.
Examples of not obvious behaviors for javascript beginner programmers
Tuto d'anomalie détection sur des séries-temporelles univariés avec un auto-encoder
2D Outlier Analysis using Shiny
CoRA Docs
NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing
Listen to the soothing sounds of attacks and anomalies detected by the Signal Sciences web protection platform.
Anomaly Detection using ELK (Elasticsearch, Logstash and Kibana)
DICE Anomaly Detection Platform
RELOAD: Rapid EvaLuation Of Anomaly Detectors @ UNIFI
This solution performs Anomaly Detection with Statistical Modeling on Spark. The detection is based on Z-Score calculated on cpu usage data collected from servers.
Anomaly Detection In An IoT-Acquired Environmental Sensor Data
This tool parses log data and allows to define analysis pipelines for anoamly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable for production server use.
Vertica anomaly detection UDx based on Median Absolute Deviation
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