azure-mgmt-sqlvirtualmachine
Microsoft Azure Sqlvirtualmachine Management Client Library for Python
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained Azure SDK for SQL VM management. Install it if you need to automate SQL Server infrastructure on Azure from Python. Low install friction, permissive MIT license, recent GA release, and zero known vulnerabilities make it a safe choice. Prerequisite: Azure subscription and proper credential configuration.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10+.
- Requires Azure subscription and environment variables (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID) for authentication.
- Low friction: pure Python wheel with minimal runtime dependencies (isodate, azure-mgmt-core, typing-extensions).
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions—standard permissive terms suitable for most projects.
last release 2026-07-20 (25 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 5,129,548 downloads/mo, #2,164 on PyPI
Alternatives
Verify before relying
pip install azure-mgmt-sqlvirtualmachine
from azure.mgmt.sqlvirtualmachine import SqlVirtualMachineManagementClient
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = SqlVirtualMachineManagementClient(
credential=credential,
subscription_id=sub_id
)- Whether all operations support async/await patterns or only synchronous calls.
- Performance characteristics and rate limits when managing large numbers of SQL VMs.
- Complete list of available operations beyond those mentioned in release notes.
What it is and what it does
This is the official Microsoft Azure SDK client library for managing SQL Server virtual machines deployed in Azure. It wraps the Azure Resource Manager REST API, allowing Python developers to programmatically provision, configure, and monitor SQL VM resources without direct HTTP calls. The library handles authentication via Microsoft Entra and manages the full lifecycle of SQL VM objects—from creation through patching, backup, and troubleshooting settings.
The package depends on isodate, azure-mgmt-core, and typing-extensions. It requires Python 3.10 or later and has reached general availability (version 1.0.0) after a beta period. Recent releases introduced hybrid model support and expanded operation groups for assessment and troubleshooting, making it suitable for infrastructure-as-code and automated SQL Server deployment workflows in Azure environments.
Use it for
- Automate provisioning and configuration of SQL Server virtual machines in Azure at scale.
- Manage auto-patching, auto-backup, and key vault credential settings for SQL VMs programmatically.
- Integrate SQL VM lifecycle management into CI/CD pipelines or infrastructure-as-code tools.
- Query and monitor SQL VM provisioning state, licensing, and troubleshooting status.
- Configure availability groups and cluster settings for high-availability SQL deployments on Azure.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is the official, actively maintained Azure SDK for SQL VM management. Install it if you need to automate SQL Server infrastructure on Azure from Python. Low install friction, permissive MIT license, recent GA release, and zero known vulnerabilities make it a safe choice. Prerequisite: Azure subscription and proper credential configuration.
Install
azure-mgmt-sqlvirtualmachine on PyPI
Before you install
Low friction: pure Python wheel with minimal runtime dependencies (isodate, azure-mgmt-core, typing-extensions). Active maintenance with recent GA release (1.0.0 on 2026-07-20, 25 days old). Requires Python 3.10+.
Requires Python 3.10+. Requires Azure subscription and environment variables (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID) for authentication.
License in practice
MIT license permits commercial and private use with minimal restrictions—standard permissive terms suitable for most projects.
Quickstart
pip install azure-mgmt-sqlvirtualmachine
from azure.mgmt.sqlvirtualmachine import SqlVirtualMachineManagementClient
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = SqlVirtualMachineManagementClient(
credential=credential,
subscription_id=sub_id
)
Verify before relying
- Whether all operations support async/await patterns or only synchronous calls.
- Performance characteristics and rate limits when managing large numbers of SQL VMs.
- Complete list of available operations beyond those mentioned in release notes.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesisodateazure-mgmt-coretyping-extensions |
| Maintenance | Actively maintained 25 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 5,129,548 / month, #2,164 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 :: 3.14 |
Evidence: azure_mgmt_sqlvirtualmachine-1.0.0-py3-none-any.whl
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See also azure-mgmt-managementpartner · azure-mgmt-sql · azure-mgmt-managedservices · azure-mgmt-web · azure-mgmt-resource · azure-mgmt-mysqlflexibleservers · azure-mgmt-imagebuilder · azure-mgmt-desktopvirtualization · azure-mgmt-datamigration · azure-mgmt-rdbms