{"library":"databricks-feature-engineering","type":"library","category":null,"description":"The `databricks-feature-engineering` library provides a Python client for interacting with Databricks Feature Engineering. It allows users to programmatically create, manage, and utilize feature tables within Databricks, streamlining the development and deployment of machine learning features. It integrates with Databricks Workflows and MLflow. The current version is 0.14.0, with frequent minor releases introducing new features, bug fixes, and occasional breaking changes due to its pre-1.0 status.","language":"python","status":"active","version":"0.14.0","tags":["databricks","feature-engineering","ml","data-science"],"last_verified":"Thu May 21","install":[{"cmd":"pip install databricks-feature-engineering","imports":["from databricks.feature_engineering import FeatureEngineeringClient"]}],"homepage":"https://www.databricks.com","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/databricks-feature-engineering/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":23.2,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/databricks-feature-engineering/compatibility"}}