azure-mgmt-storage
Microsoft Azure Storage Management Client Library for Python
Decision gist · record as of 2026-08-14
Yes. This is the official Azure Storage management SDK, actively maintained with no known vulnerabilities, permissive MIT license, and low install friction. Install it if you need to manage Azure Storage resources from Python code; it is the standard tool for this task. Requires Python 3.10+ and Azure credentials configured via environment variables.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, and AZURE_SUBSCRIPTION_ID for authentication.
- Low friction install with three lightweight runtime dependencies.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions.
last release 2026-07-20 (25 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 17,608,022 downloads/mo, #1,109 on PyPI
Alternatives
Verify before relying
pip install azure-mgmt-storage
from azure.mgmt.storage import StorageManagementClient
from azure.identity import DefaultAzureCredential
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = StorageManagementClient(credential=DefaultAzureCredential(), subscription_id=sub_id)- Whether advanced_platform_metrics and connectors/data_shares operations in version 25.1.0 are stable or experimental
- Impact of hybrid model migration mentioned in 25.0.0 breaking changes on existing code
What it is and what it does
This is the official Microsoft Azure Storage Management client library for Python. It provides programmatic control over Azure Storage resources—storage accounts, blob containers, file shares, queues, and tables—through the Azure Resource Manager API. You use it to create, configure, and manage storage infrastructure in Azure from Python code.
The library handles authentication via Microsoft Entra using environment variables, and exposes a StorageManagementClient that groups operations by resource type. Recent versions added connectors and data-sharing capabilities, plus advanced platform metrics support. It depends on isodate, azure-mgmt-core, and typing-extensions, and requires Python 3.10 or later.
Use it for
- Automate provisioning and configuration of Azure Storage accounts and containers in infrastructure-as-code workflows
- Manage blob container properties, access policies, and lifecycle rules programmatically
- Create and configure file shares, queues, and tables as part of application deployment
- Monitor and retrieve storage account properties and metrics through the management plane
- Implement multi-tenant storage management by controlling access and replication policies
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is the official Azure Storage management SDK, actively maintained with no known vulnerabilities, permissive MIT license, and low install friction. Install it if you need to manage Azure Storage resources from Python code; it is the standard tool for this task. Requires Python 3.10+ and Azure credentials configured via environment variables.
Install
azure-mgmt-storage on PyPI
Before you install
Low friction install with three lightweight runtime dependencies. Actively maintained with recent releases; last commit 2026-08-14. Requires Python 3.10+.
Requires Python 3.10+. Requires Azure subscription and environment variables AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID for authentication.
License in practice
MIT license permits commercial and private use with minimal restrictions.
Quickstart
pip install azure-mgmt-storage
from azure.mgmt.storage import StorageManagementClient
from azure.identity import DefaultAzureCredential
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = StorageManagementClient(credential=DefaultAzureCredential(), subscription_id=sub_id)
Verify before relying
- Whether advanced_platform_metrics and connectors/data_shares operations in version 25.1.0 are stable or experimental
- Impact of hybrid model migration mentioned in 25.0.0 breaking changes on existing code
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 | 17,608,022 / month, #1,109 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 :: 3.13 |
Evidence: azure_mgmt_storage-25.1.0-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 storage management python”
- azure-mgmt-storageManages Azure Storage accounts, containers, blobs, file shares,…
- azure-mgmt-netappProvides a Python client library to manage Azure NetApp Files…
- azure-storage-fileProvides a Python client library to create, read, update, and delete…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also azure-mgmt-kusto · azure-mgmt-managementgroups · azure-mgmt-servicebus · azure-mgmt-resource · azure-mgmt-web · azure-mgmt-databricks · azure-mgmt-automation · azure-mgmt-appcontainers · azure-mgmt-costmanagement · azure-mgmt-databoxedge