ML Dataset Tools
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Dataset Profiler
Instantly profile any CSV. See distributions, missing values, statistics, and correlations.
Quality Checker
Detect missing values, outliers, duplicates, and type issues. Get a 0–100 quality score.
ML Readiness Scorecard
Score your dataset across quality, balance, completeness, volume, and uniqueness.
Feature-Space Coverage
Detect gaps in the combined feature space — regions where the model will be forced to extrapolate in production.
Outlier Detector
Detect multivariate anomalies using Isolation Forest and DBSCAN. Get anomaly scores, feature contributions, and flagged rows.
Drift Detector
Compare training vs production distributions with KS tests and PSI scores. Catch data shift before it hurts your model.
Bias Detector
Audit your dataset for representation bias across demographic and categorical features.