goldencheck is an open-source CLI tool that automatically discovers validation rules from your data, helping data engineers and analysts ensure data quality and detect drift. It supports various formats and provides profiling and statistical checks.
In the LLM eval & observability space, goldencheck takes a focused approach. It focuses on automating the discovery of data validation rules to ensure data quality without manual rule writing. goldencheck is an open-source project aimed at data engineers. goldencheck is open source under the MIT license. goldencheck is available on the web and the command line.
benseverndev-oss builds and maintains goldencheck, and it first shipped in 2026. Development happens publicly on GitHub with 117 stars and 1.3k commits in the last 90 days. Key capabilities include data validation, rule discovery, and drift detection.
Summary written by a language model from the project’s public pages.
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