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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.
Data Contracts engine for the modern data stack. https://www.soda.io
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.
Declarative data quality engine. Define checks in YAML, run anywhere.
Open, audit-grade agentic data quality framework with portable industry packs