Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.

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

Real-time eBPF-powered network security monitor with AI-driven threat detection. Surfaces port scans, DDoS attacks, botnet activity, and anomalies at 100Gbps+ speeds with sub-microsecond latency (~150 million packets/sec).

A Lightweight and High-Performance Network Traffic Analyzer built with Go

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.

🧬 Go library for Time Series Data Analysis

Anomaly detection in Go with isolation forests.

Zebrium's command line interface for uploading log events for automated anomaly detection.

A broad, easy and fast framework for machine/deep learning in Go.

🔢 Anomaly detection service for Google Cloud Monitoring metrics, utilising statistical analysis to identify significant deviations in time-series data

Open Source : ShieldX is an advanced cloud security platform that protects web applications and APIs from sophisticated cyber attacks through, in the process of detecting incomplete systems

Golang implementation of isolation forest.

Recognition of anomalies in the data stream in real time. Identify peaks. Fraud detection.

🔁 Smart version managing system for K8s

Extended Isolation Forest in go Go

Metrics Anomaly Detector, based on ED-PELT.