{"enrichment":{"capability":"Great Expectations is a data validation and quality framework that lets you define, test, and document data expectations as expressive unit tests, then automatically generate validation reports.","verdict":"Great Expectations is a mature, actively maintained data validation framework with no known vulnerabilities. Its permissive Apache-2.0 license and low install friction make it suitable for production data quality workflows. The 18 runtime dependencies are well-established libraries (pandas, numpy, pydantic, jsonschema, etc.), supporting common data science and validation tasks."},"id":"great-expectations","links":{"html":"https://skillfed.io/packages/great-expectations","md":"https://skillfed.io/packages/great-expectations.md","pypi":"https://pypi.org/project/great-expectations/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-07","license_spdx":null,"license_treatment":"permissive","name":"great-expectations","python_support":"supports_current","summary":"Always know what to expect from your data."},"popularity":{"tier":"top_1000"},"security":{"n_vulnerabilities":0},"version":"1.20.0"}