{"library":"apache-airflow-providers-databricks","type":"library","category":null,"description":"The `apache-airflow-providers-databricks` package provides operators, hooks, and sensors to interact with Databricks, a unified data and analytics platform. It allows users to orchestrate Databricks notebooks, jobs, and SQL queries from Apache Airflow. The provider is actively maintained by the Apache Airflow community and is currently on version 7.12.0, with regular updates to support new Databricks features and Airflow versions.","language":"python","status":"active","version":"7.12.0","tags":["Airflow","Databricks","ETL","Workflow Orchestration","Data Platform","Apache Spark"],"last_verified":"Tue Jun 09","install":[{"cmd":"pip install apache-airflow-providers-databricks","imports":["from airflow.providers.databricks.operators.databricks import DatabricksRunNowOperator","from airflow.providers.databricks.operators.databricks import DatabricksSubmitRunOperator","from airflow.providers.databricks.operators.databricks_sql import DatabricksSqlOperator","from airflow.providers.databricks.operators.databricks import DatabricksNotebookOperator","from airflow.providers.databricks.hooks.databricks import DatabricksHook"]}],"homepage":"https://airflow.apache.org","github":"https://github.com/apache/airflow","docs":"https://airflow.apache.org/docs/apache-airflow-providers-databricks/7.14.0","changelog":"https://airflow.apache.org/docs/apache-airflow-providers-databricks/7.14.0/changelog.html","pypi":"https://pypi.org/project/apache-airflow-providers-databricks/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":33.9,"avg_import_s":6.1,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/apache-airflow-providers-databricks/compatibility"}}