--- id: azure-mgmt-advisor version: "9.0.1" license: unclear license_treatment: unclear maintenance: active --- # azure-mgmt-advisor — Microsoft Azure Advisor Management Client Library for Python License: unclear · Maintenance: active · Downloads: 7.0M/mo ## What it is and what it does azure-mgmt-advisor is the official Python client library for Azure Advisor, Microsoft's service that analyzes your Azure resources and provides personalized recommendations to optimize cost, performance, security, and reliability. It wraps the Azure Advisor REST API, allowing you to programmatically query recommendations, manage suppressions, and access recommendation metadata. The package is part of the broader Azure SDK for Python and follows its authentication and design patterns. It requires Python 3.9 or later and depends on azure-mgmt-core for common Azure SDK functionality, isodate for date/time handling, and typing-extensions for type hints. Authentication is handled via Azure Active Directory using environment variables (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID). Use it for: - Retrieve cost optimization recommendations for your Azure resources and integrate them into billing dashboards or cost management workflows. - Automate suppression of known or irrelevant Advisor recommendations to reduce noise in your recommendation feed. - Query recommendation metadata and resource metadata to build custom reporting or compliance auditing tools. - Integrate Azure Advisor insights into your infrastructure-as-code or resource governance automation pipeline. - Fetch security and reliability recommendations programmatically to feed into your cloud governance or risk assessment systems. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Provides Python bindings to interact with Azure Advisor, Microsoft's cloud recommendation service, allowing you to retrieve and manage optimization suggestions for your Azure resources. Yes. This is an actively maintained, production-stable library from Microsoft with low install friction and no known vulnerabilities. Install it if you need programmatic access to Azure Advisor recommendations or if you're building Azure management tooling that should include cost and performance optimization insights. Requires Python 3.9+ and Azure subscription credentials. ## Install pip install azure-mgmt-advisor uv add azure-mgmt-advisor poetry add azure-mgmt-advisor ## Installing azure-mgmt-advisor Before you install: Low install friction with a pure-wheel distribution. Maintained actively with recent releases; last commit was 2026-08-14. Requires Python 3.9+ and depends on three lightweight runtime packages (isodate, azure-mgmt-core, typing-extensions). Quickstart: pip install azure-mgmt-advisor from azure.mgmt.advisor import AdvisorManagementClient import os sub_id = os.getenv("AZURE_SUBSCRIPTION_ID") client = AdvisorManagementClient(credential=credential, subscription_id=sub_id) Requires Python 3.9+, Azure subscription, and environment variables AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID configured for authentication. Verify before relying: - Whether async support is available via an aio namespace as mentioned in the release history. - Specific Azure Advisor API operations and models exposed in version 9.0.1. - Whether the package requires additional authentication libraries beyond its declared runtime dependencies. ## Package facts - License: not declared (unclear) - Python support: supports_current - Install friction: low - Maintenance: active - Downloads: 7.0M/month (top 5,000 on PyPI) - Known vulnerabilities: none known ## Tags azure advisor client library, azure recommendations management, azure resource optimization api, azure sdk python advisor, azure cost optimization recommendations, azure resource advisor client, azure management sdk, azure-sdk, cloud-management, cost-optimization [View on SkillFed](https://skillfed.io/packages/azure-mgmt-advisor) · [View on PyPI](https://pypi.org/project/azure-mgmt-advisor/)