{"library":"databricks-connect","type":"library","category":null,"description":"Databricks Connect allows you to connect popular IDEs, notebook servers, and custom applications to Databricks clusters. It's a client library that configures standard PySpark APIs to run commands remotely on Databricks clusters, enabling local development and debugging against data on a remote cluster. The current version is 18.1.2, with releases tied closely to Databricks Runtime (DBR) versions, typically aligning with DBR major/LTS releases and subsequent patch updates.","language":"python","status":"active","version":"18.1.2","tags":["databricks","spark","pyspark","etl","data-engineering","remote-execution","development-tools"],"last_verified":"Wed May 20","install":[{"cmd":"pip install databricks-connect==18.1.2","imports":["from pyspark.sql import SparkSession"]}],"homepage":"https://www.databricks.com/product/databricks-connect","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/databricks-connect/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":20,"avg_install_s":14.8,"avg_import_s":0.84,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/databricks-connect/compatibility"}}