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Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
pyspark methods to enhance developer productivity 📣 👯 🎉
Declarative data quality engine. Define checks in YAML, run anywhere.
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
Open, audit-grade agentic data quality framework with portable industry packs
Validates GTFS Schedule datasets and exposes the results as metrics.