Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
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Updated
May 7, 2020 - Go
Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
golang library for computing matrix profiles along with other time series analysis features
The Kubervisor allow you to control which pods should receive traffic or not based on anomaly detection.It is a new kind of health check system.
Experimental prometheus exporter for time series forecasting and anomaly detection
A toolkit to apply AIOps to distributed systems
An xk6 extension for finding anomalies in an automated way from large data sets. The goal of the extension is to be able to detect anomalies easily without the need for third-party tools.
Anomaly detection in Go with isolation forests.
Zebrium's command line interface for uploading log events for automated anomaly detection.
🧬 Go library for Time Series Data Analysis
A broad, easy and fast framework for machine/deep learning in Go.
Golang implementation of isolation forest.
Recognition of anomalies in the data stream in real time. Identify peaks. Fraud detection.
🔢 Anomaly detection service for Google Cloud Monitoring metrics, utilising statistical analysis to identify significant deviations in time-series data
Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.
🔁 Smart version managing system for K8s
Extended Isolation Forest in go Go
Metrics Anomaly Detector, based on ED-PELT.
The Metrics Anomaly Detector controller.
Deucalion: Edge Anomaly Detection Framework for Cloud Computing and IoT Applications
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