Use Evidently OSS (100+ evaluation metrics, declarative testing API) to detect data drift, target drift, and model-performance regression, wired into CI as a gate (a Report run with include_tests) and into production monitoring as a continuous check; reports as HTML + JSON for both human review and pipeline assertions. Includes a drift-alert triage playbook: classify the fired alert's signal, rank root-cause hypotheses (upstream schema change, pipeline bug, training-serving skew, seasonality, genuine population shift), and pick rollback, retrain, quarantine, or alert re-tuning. Use when you need a drift or quality gate, a scheduled monitoring job, or a structured triage of a fired drift alert, for a tabular ML model. Built on the Evidently API specifically: for DeepChecks-based validation suites use deepchecks-tests instead.