{"categories":[{"label":"Quality Assurance","url":"https://skillfed.io/packages/category/software-development-quality-assurance/3"}],"enrichment":{"capability":"Provides Apache Airflow operators that integrate Great Expectations data validation into Airflow workflows, allowing you to define and run data quality tests as part of your DAGs.","skillfed_tags":["airflow-provider","data-validation","orchestration"],"use_cases":["Add data quality gates to Airflow pipelines before downstream processing or loading.","Run Great Expectations checkpoints on a schedule as part of your DAG orchestration.","Validate data at multiple stages in a multi-step ETL workflow within a single DAG.","Integrate data quality monitoring into existing Airflow infrastructure without custom code.","Fail or branch DAG execution based on Great Expectations validation results."],"what_it_does":"This package bridges Apache Airflow and Great Expectations by providing Airflow operators that wrap Great Expectations validation logic. It lets you embed data quality checks directly into Airflow DAGs, so data validation becomes a native task type rather than a custom Python wrapper. The operators accept Great Expectations checkpoints and run them as part of your orchestrated workflows.\n\nThe package is in Alpha status but actively maintained, with support for Python 3.10 through 3.13. It depends on both Apache Airflow and Great Expectations, so you need both frameworks already set up. The integration is designed to be straightforward for teams already using Airflow who want to add Great Expectations validation without building custom operators.","worth_installing":"Yes, if you use both Apache Airflow and Great Expectations. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. The Alpha status means the API may change, but the package is actively developed and suitable for production use in teams already committed to both frameworks."},"id":"airflow-provider-great-expectations","links":{"html":"https://skillfed.io/packages/airflow-provider-great-expectations","md":"https://skillfed.io/packages/airflow-provider-great-expectations.md","pypi":"https://pypi.org/project/airflow-provider-great-expectations/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-01-28","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"airflow-provider-great-expectations","python_support":"supports_current","summary":"An Apache Airflow provider for Great Expectations"},"popularity":{"monthly_downloads":179621,"position":10167,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.0"}