azure-ai-anomalydetector-java

What problem does it solve?

Build anomaly detection applications using the Azure AI Anomaly Detector SDK for Java to monitor time-series data and automatically flag unusual patterns.

Core Features & Use Cases

• Univariate & Multivariate anomaly detection for time-series data, including batch, streaming, and change-point analysis.
• Model Training & Inference capabilities to train anomaly models and perform batch or real-time inference across industrial telemetry, IoT, and monitoring scenarios.
• Production-Grade workflow with end-to-end detection, alerting, and model management for scalable monitoring.

Quick Start

Create a Java Anomaly Detector client using azure-ai-anomalydetector, provide endpoint and API key, and run a sample dataset to detect anomalies.