{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/7"}],"enrichment":{"capability":"Provides Python bindings to manage Azure Databricks workspaces, clusters, and related resources through the Azure Resource Manager API.","skillfed_tags":["azure-sdk","infrastructure-as-code","cloud-management"],"use_cases":["Automate provisioning and teardown of Databricks workspaces as part of infrastructure-as-code pipelines.","Manage workspace access connectors and private endpoint connections for network isolation.","Configure workspace security settings, encryption, and compliance profiles programmatically.","Integrate Databricks resource management into Python-based DevOps or cloud orchestration tools.","Query and monitor workspace properties, provisioning state, and system metadata."],"what_it_does":"This is the official Azure SDK client library for managing Databricks resources in Azure. It wraps the Azure Resource Manager API to let you programmatically create, configure, and delete Databricks workspaces, clusters, access connectors, and related infrastructure. The library depends on isodate, azure-mgmt-core, and typing-extensions to handle REST communication, authentication, and type hints.\n\nVersion 3.0.0 introduces hybrid models with dual dictionary and model behavior, adds cloud_setting configuration, and expands the API surface with new resource types like AutomaticClusterUpdateDefinition and EnhancedSecurityComplianceDefinition. It requires Python 3.10 or later and authenticates via Microsoft Entra using environment variables or credential objects.","worth_installing":"Yes. This is the official, actively maintained Azure SDK for Databricks management with no known vulnerabilities, low install friction, and permissive licensing. Install it if you need to manage Azure Databricks resources from Python code. Be aware that version 3.0.0 introduces breaking changes to model structures that may require migration if upgrading from earlier versions."},"id":"azure-mgmt-databricks","links":{"html":"https://skillfed.io/packages/azure-mgmt-databricks","md":"https://skillfed.io/packages/azure-mgmt-databricks.md","pypi":"https://pypi.org/project/azure-mgmt-databricks/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-08","license_spdx":"MIT","license_treatment":"permissive","name":"azure-mgmt-databricks","python_support":"supports_current","summary":"Microsoft Azure Databricks Management Client Library for Python"},"popularity":{"monthly_downloads":661565,"position":5447,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.0.0"}