Best 4 Data Quality Tools for GitHub Workflows (2026)

    Discover the 4 best open-source and managed data quality tools for GitHub Workflows: 4 that read GitHub Workflows runs, tests, or lineage. 2 of them are open source.

    By Ari Bajo - Data Engineer turned Writer.

    Updated on November 5, 2026

    Tools list

    Soda Cloud

    AI-native data quality platform with data contracts written in YAML, UI, or AI, anomaly detection, and AI agents that explain and fix data issues.

    My Opinion

    Best for data teams that want engineers and business users to agree on data contracts in one place and resolve bad data together.

    Soda Core

    Open-source data contracts engine (Soda 4) to write data quality checks and contracts in YAML and run them in pipelines and CI/CD.

    OSStestingcontractspython-native
    My Opinion

    Best for data engineers who prefer YAML over Python for checks and want them running free inside pipelines and CI/CD.

    Entropy Data

    Data product marketplace (formerly Data Mesh Manager) where every data product has an owner and data contracts based on the Open Data Contract Standard, from the team behind the open-source Data Contract CLI.

    My Opinion

    Best for organizations adopting data mesh that want a data product marketplace with ODCS data contracts, policy checks, and test results published from the Data Contract CLI.

    Recce

    AI data review agent for dbt pull requests, with open-source data diff, schema diff, downstream impact analysis, and column-level lineage.

    My Opinion

    Best for dbt teams that want reviewers to see the data impact of code changes before approving a pull request.

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    By Ari Bajo - Data Engineer turned Writer.

    Frequently Asked Questions

    Which data quality tools work with GitHub Workflows?
    Soda Cloud, Soda Core, Entropy Data, and Recce work with GitHub Workflows. Read more on my data quality tool market guide.
    How can I edit this tools list?
    If you think a tool belongs here or you want to suggest an edit, I would love to hear from you. You can fill out the feedback form or DM on LinkedIn.