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MLOps Data Drift Monitor

Watch a production ML model's input distribution drift away from its training baseline: a live Population Stability Index (PSI) trips a retraining alert, accuracy degrades and recovers, and you control drift rate, alert threshold and auto-retrain.

Machine Learning & Neural Networks2DEasy60 FPS📱 Mobile-adapted⇄ 3D version

A deployed machine-learning model is only as good as its match to the data it now sees — and production data drifts. This simulator streams synthetic feature values through a live histogram and continuously compares it to the frozen training-time baseline using the Population Stability Index, the same statistic MLOps monitoring stacks use to catch data drift before it silently erodes accuracy. Turn up the drift rate to see the live distribution slide away from baseline, watch PSI climb past the alert threshold, and see accuracy sag — then either trigger a manual retrain or let the automatic pipeline snap the model back onto fresh data the moment the threshold is crossed.

⚙ Under the hood

Monitor data drift using the Population Stability Index to detect changes in production data compared to a frozen training baseline. Retrain models automatically when thresholds are breached.

MLOpsData DriftCanary Deployments

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install