azure-mgmt-advisor
Microsoft Azure Advisor Management Client Library for Python
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- 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.
- Low install friction with a pure-wheel distribution.
- Maintained actively with recent releases; last commit was 2026-08-14.
License · maintenance · safety
(unclear)
last release 2026-05-13 (93 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,982,174 downloads/mo, #1,802 on PyPI
Alternatives
Verify before relying
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)- 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.
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 on this page. Verify before relying on it.
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
azure-mgmt-advisor on PyPI
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).
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.
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)
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 the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesisodateazure-mgmt-coretyping-extensions |
| Maintenance | Actively maintained 93 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 6,982,174 / month, #1,802 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: azure_mgmt_advisor-9.0.1-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “azure advisor client library”
- azure-mgmt-advisorProvides Python bindings to interact with Azure Advisor, Microsoft's…
- NREL-PySAMPySAM wraps NREL's System Advisor Model (SAM) simulation engine,…
- azure-coreProvides shared exceptions, HTTP utilities, and configuration…
Give your agent the search over MCP, or paste the wish link into any chat.
More Monitoring packages
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
Provides generated Python code for OpenTelemetry semantic conventions, enabling standardized attribute naming and constant definitions for instrumentation and telemetry collection.
Install it if you are using OpenTelemetry and want to follow semantic conventions correctly.
Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.
Provides the abstract API and interfaces for OpenTelemetry instrumentation in Python, defining how to emit traces, metrics, and logs without tying code to a specific SDK implementation.
Exports OpenTelemetry observability data to an OpenTelemetry Collector using Protobuf-encoded messages over HTTP.
Install it if you are using OpenTelemetry in Python and need to send data to a Collector over HTTP.
Provides automatic instrumentation commands and programmatic APIs to inject distributed tracing into Python applications without code changes, detecting and instrumenting packages used by your program.
Install it if you need distributed tracing without code changes and have compatible instrumented packages in your environment.
See also azure-mgmt-managementpartner · azure-mgmt-logic · azure-mgmt-trafficmanager · azure-mgmt-subscription · azure-mgmt-msi · azure-mgmt-managedservices · azure-mgmt-commerce · azure-cognitiveservices-vision-customvision · azure-cognitiveservices-vision-computervision · azure-appconfiguration