{"library":"airflow-provider-great-expectations","type":"library","category":null,"description":"The `airflow-provider-great-expectations` package provides Apache Airflow operators for running Great Expectations (GX) data validations directly in your DAGs. It supports validating in-memory DataFrames, data from external sources using BatchDefinitions, or triggering actions with Checkpoints. The current version is 1.0.0, released in January 2026, and it typically receives new features and maintenance updates periodically.","language":"python","status":"active","version":"1.0.0","tags":["airflow","great-expectations","data-quality","data-validation","etl","data-orchestration"],"last_verified":"Mon May 25","install":[{"cmd":"pip install \"airflow-provider-great-expectations<3.14,>3.9\"","imports":["from great_expectations_provider.operators.validate_dataframe import GXValidateDataFrameOperator","from great_expectations_provider.operators.validate_batch import GXValidateBatchOperator","from great_expectations_provider.operators.validate_checkpoint import GXValidateCheckpointOperator"]},{"cmd":"pip install \"airflow-provider-great-expectations[snowflake]\" # Example for Snowflake","imports":[]}],"homepage":null,"github":"https://github.com/great-expectations/airflow-provider-great-expectations","docs":"https://great-expectations.github.io/airflow-provider-great-expectations/latest","changelog":"https://github.com/great-expectations/airflow-provider-great-expectations/blob/main/CHANGELOG.md","pypi":"https://pypi.org/project/airflow-provider-great-expectations/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":25,"avg_install_s":null,"avg_import_s":null,"wheel_type":null},"url":"https://checklist.day/v1/registry/airflow-provider-great-expectations/compatibility"}}