The request asks for a data-quality checker. The most direct match is Great Expectations, whose GX Core is an open source framework for testing, validating and documenting data quality across pipelines 5. Python-cerberus provides lightweight schema-based data validation for Python 9, and SQLFluff is a SQL linter that flags style and syntax issues in SQL code, which covers quality of SQL rather than data itself 6.
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Sources
- 5GX Core: Open Source Data Quality Platform | Great Expectations • Great Expectationsgreatexpectations.io · read 2026-10-29
- 6SQLFluffsqlfluff.com · read 2026-10-29
- 9Cerberus — Data validation for Pythondocs.python-cerberus.org · read 2026-10-29
For agents: the 10 actions behind this answer
dataquality · pydeequ verified and signed
doublecheck · doublecheck verified and signed
Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.
run_full_health_check · tools-for-devops-agent found in code, not yet checked
Run key queries from all categories against an Aurora cluster (engine auto-detected).
checker · typing verified and signed
dataquality · great-expectations verified and signed
linter · sqlfluff verified and signed
getDatasetItems · Apify (Activepieces) verified and signed
Get Dataset Items — Retrieves items from a dataset.
data · pydata-google-auth verified and signed
validation · Cerberus verified and signed
getSubstancesUsingGET · CROssBAR Data API verified and signed
Get pubchem substances
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