Recognition of anomalies in the data stream in real time. Identify peaks. Fraud detection.
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Updated
Jun 7, 2023 - Go
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
A toolkit to apply AIOps to distributed systems
Deucalion: Edge Anomaly Detection Framework for Cloud Computing and IoT Applications
🧬 Go library for Time Series Data Analysis
Extended Isolation Forest in go Go
The Metrics Anomaly Detector controller.
Metrics Anomaly Detector, based on ED-PELT.
🔁 Smart version managing system for K8s
A broad, easy and fast framework for machine/deep learning in Go.
Golang implementation of isolation forest.
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.
Experimental prometheus exporter for time series forecasting and anomaly detection
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.
Anomaly detection in Go with isolation forests.
Zebrium's command line interface for uploading log events for automated anomaly detection.
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
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