Minimal ML Monitoring – drift, anomalies, alerts in 1 line

Show HN: Minimal ML Monitoring – drift, anomalies, alerts in 1 line

Minimal ML Monitoring – drift, anomalies, alerts in 1 line is active in the show hn launch space.

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Wrote a lightweight tool that monitors ML models (drift, anomalies, prediction trends, real-time) with a 1-line integration. It's designed to be easily bootstraped (helm chart) and used (simple endpoints + sdks available)The project is an indi one and intentionally minimal. I’m not trying to compete with full MLOps stacks — just exploring how little can be done to still be useful

Its activity falls under show hn launch; the profile below is assembled from public directory data.

The company is listed at the Show HN launch stage of development.

Website: ravenai.tech