great_expectations

Great Expectations (GX Core) is a data quality tool that allows data teams to define "Expectations," which act as expressive and extensible unit tests for data. The framework helps teams establish a common language for data quality, facilitating collaboration and the preservation of institutional knowledge. Key capabilities include: - Data Validation: Creating and running tests to ensure data meets specific quality standards. - Automated Documentation: Generating documentation based on validation results to keep stakeholders informed. - Integration Support: Compatible with Python 3.10 through 3.13, with experimental support for 3.14+. - Extensibility: A community-driven approach that allows for custom expectations and integrations with various data sources.