data-debugging

Monitoring platform for ML teams building real‑world AI at scale.

Papers about training data quality management for ML models.

Measuring data importance over ML pipelines using the Shapley value.

Free SQL toolkit for detecting data quality issues in analytics datasets. Includes sample SQL validation checks, debugging workflow and example dataset.

A local-first, deterministic CLI + Python toolkit for profiling, diffing, debugging, and monitoring ML datasets.

Zero-code data lineage for pandas. Track every row, every change, every step in your pipeline.

Presentación en SevillaR 20190108 - Depuración geométrica-topológica de datos geográficos con R.