scientific-streaming-analytics

What problem does it solve?

Streaming data arrives continuously, requiring online learning, real-time anomaly detection, and drift monitoring to keep models current and trustworthy.

Core Features & Use Cases

• Online learning using River to update models as data streams flow in.
• Streaming anomaly detection for immediate alerts on unusual patterns.
• Concept drift detection to trigger model adaptation and re-training.
• Incremental statistics and lightweight visualizations for continuous monitoring.

Quick Start

Start the streaming analytics skill to initialize an online learning workflow and monitor a data stream in real time.