azure-mgmt-dataprotection
Microsoft Azure Dataprotection Management Client Library for Python
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained Azure SDK for Data Protection management. Install it if you need to manage Azure backups programmatically. No known vulnerabilities, permissive license, low install friction, and current Python version support make it a straightforward choice for Azure-native backup automation.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10+.
- Requires Azure subscription and valid Microsoft Entra credentials via AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID environment variables.
- Low friction install with three lightweight runtime dependencies (isodate, azure-mgmt-core, typing-extensions).
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most deployment contexts.
last release 2026-07-29 (16 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 191,785 downloads/mo, #9,874 on PyPI
Alternatives
Verify before relying
pip install azure-mgmt-dataprotection
from azure.mgmt.dataprotection import DataProtectionMgmtClient
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = DataProtectionMgmtClient(credential=DefaultAzureCredential(), subscription_id=sub_id)- Whether deleted_backup_vaults operation group (added in 2.1.0) is production-ready or still stabilizing
- Performance characteristics when managing large numbers of backup instances or recovery points
- Whether DefaultAzureCredential authentication is the only supported credential method or if others are available
What it is and what it does
This package is the official Azure SDK client library for Data Protection management operations. It wraps the Azure Resource Manager API to let you programmatically create and manage backup vaults, configure backup instances for various datasources (Azure VMs, Kubernetes clusters, blobs, ADLS), manage recovery points, and trigger restore operations. You authenticate via Microsoft Entra using environment variables for client credentials, then instantiate a DataProtectionMgmtClient and call operation groups for vaults, instances, policies, and recovery points.
The library is actively maintained by Microsoft and tested against Python 3.10 through 3.14. Version 2.1.0 added support for deleted backup vaults and blob auto-protection rules. It depends on azure-mgmt-core for common Azure SDK patterns and isodate for date handling. Installation is straightforward and has no compiled dependencies.
Use it for
- Automate backup vault creation and lifecycle management across multiple Azure subscriptions and resource groups
- Programmatically configure backup policies and protection rules for Azure VMs, databases, or Kubernetes clusters
- Query recovery points and trigger restore operations from backup instances in response to data loss or disaster recovery scenarios
- Integrate backup and recovery workflows into infrastructure-as-code or CI/CD pipelines for repeatable deployments
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 Data Protection management. Install it if you need to manage Azure backups programmatically. No known vulnerabilities, permissive license, low install friction, and current Python version support make it a straightforward choice for Azure-native backup automation.
Install
azure-mgmt-dataprotection on PyPI
Before you install
Low friction install with three lightweight runtime dependencies (isodate, azure-mgmt-core, typing-extensions). Active maintenance with release 16 days old; repository shows 5588 stars and current commit activity. Requires Python 3.10+.
Requires Python 3.10+. Requires Azure subscription and valid Microsoft Entra credentials via AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID environment variables.
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most deployment contexts.
Quickstart
pip install azure-mgmt-dataprotection
from azure.mgmt.dataprotection import DataProtectionMgmtClient
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = DataProtectionMgmtClient(credential=DefaultAzureCredential(), subscription_id=sub_id)Verify before relying
- Whether deleted_backup_vaults operation group (added in 2.1.0) is production-ready or still stabilizing
- Performance characteristics when managing large numbers of backup instances or recovery points
- Whether DefaultAzureCredential authentication is the only supported credential method or if others are available
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 16 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 191,785 / month, #9,874 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_dataprotection-2.1.0-py3-none-any.whl
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See also azure-mgmt-recoveryservices · azure-mgmt-recoveryservicesbackup · azure-mgmt-resource · azure-mgmt-managementgroups · azure-mgmt-network · azure-mgmt-batch · azure-mgmt-web · azure-mgmt-datafactory · azure-mgmt-managementpartner · PyPowerStore