{"library":"databricks-labs-dqx","type":"library","category":null,"description":"Data Quality eXtended (DQX) is a Python library for defining, executing, and monitoring data quality checks. It leverages Apache Spark and is designed to integrate seamlessly within the Databricks ecosystem, supporting features like Delta Lake, DLT, and Unity Catalog. The library is actively maintained with frequent releases, currently at version 0.13.0, introducing features like an enhanced data quality dashboard and AI-assisted rule generation.","language":"python","status":"active","version":"0.13.0","tags":["databricks","data quality","dqx","pyspark","delta lake","data governance"],"last_verified":"Wed May 20","install":[{"cmd":"pip install databricks-labs-dqx pyspark","imports":["from dqx.core.dq_engine import DQEngine","from dqx.core.rule import DQRule","from dqx.core.dq_generator import DQGenerator"]}],"homepage":"https://databricks.com","github":"https://github.com/databrickslabs/dqx","docs":null,"changelog":null,"pypi":"https://pypi.org/project/databricks-labs-dqx/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":35.2,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/databricks-labs-dqx/compatibility"}}