azure-mgmt-servicefabric
Microsoft Azure Service Fabric Management Client Library for Python
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained Azure SDK for Service Fabric management in Python. It has low install friction, permissive MIT licensing, no known vulnerabilities, and is part of a well-supported Microsoft ecosystem. Install it if you need to manage Service Fabric resources from Python code.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Azure subscription and environment variables AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID to be set for authentication.
- Low install friction with a pure-wheel distribution.
- Actively maintained with recent commits; part of the official Microsoft Azure SDK for Python ecosystem.
License · maintenance · safety
MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions; suitable for most projects without licensing concerns.
last release 2023-12-18 (970 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,865,764 downloads/mo, #1,829 on PyPI
Alternatives
Verify before relying
pip install azure-mgmt-servicefabric
from azure.mgmt.servicefabric import ServiceFabricManagementClient
from azure.common import CloudCredential
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = ServiceFabricManagementClient(credential=credential, subscription_id=sub_id)- Whether the package supports async operations beyond what the description excerpt indicates.
- Specific Service Fabric operations and models available in version 2.1.0 beyond the ClusterVersionsEnvironment addition.
- Full scope of cluster management capabilities (upgrades, scaling, health monitoring) supported by this version.
What it is and what it does
This package is the official Microsoft Azure Service Fabric Management Client Library for Python, enabling programmatic control of Service Fabric clusters, applications, and node types through the Azure Resource Manager API. It wraps Azure REST endpoints and provides Python object models for cluster configuration, upgrades, application deployments, and node management. The library depends on azure-common, azure-mgmt-core, isodate, and typing-extensions to handle authentication, HTTP communication, date parsing, and type hints.
The package is designed for developers building infrastructure automation, deployment pipelines, or management tools that need to create, configure, or monitor Azure Service Fabric resources. It requires Python 3.7 or later and uses Azure Active Directory token authentication. The library is actively maintained by Microsoft and supports Python 3.7, 3.8, 3.9, 3.10, and 3.11.
Use it for
- Automate Service Fabric cluster provisioning and configuration in CI/CD pipelines.
- Build infrastructure-as-code tools to manage cluster upgrades and node scaling.
- Deploy and manage applications across Service Fabric clusters programmatically.
- Monitor and query cluster health, node status, and application state from Python scripts.
- Integrate Service Fabric management into broader Azure resource orchestration workflows.
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 Service Fabric management in Python. It has low install friction, permissive MIT licensing, no known vulnerabilities, and is part of a well-supported Microsoft ecosystem. Install it if you need to manage Service Fabric resources from Python code.
Install
azure-mgmt-servicefabric on PyPI
Before you install
Low install friction with a pure-wheel distribution. Actively maintained with recent commits; part of the official Microsoft Azure SDK for Python ecosystem.
Requires Azure subscription and environment variables AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID to be set for authentication.
License in practice
MIT License permits commercial and private use with minimal restrictions; suitable for most projects without licensing concerns.
Quickstart
pip install azure-mgmt-servicefabric
from azure.mgmt.servicefabric import ServiceFabricManagementClient
from azure.common import CloudCredential
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = ServiceFabricManagementClient(credential=credential, subscription_id=sub_id)Verify before relying
- Whether the package supports async operations beyond what the description excerpt indicates.
- Specific Service Fabric operations and models available in version 2.1.0 beyond the ClusterVersionsEnvironment addition.
- Full scope of cluster management capabilities (upgrades, scaling, health monitoring) supported by this version.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesisodateazure-commonazure-mgmt-coretyping-extensions |
| Maintenance | Actively maintained 970 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 6,865,764 / month, #1,829 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/StableLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: azure_mgmt_servicefabric-2.1.0-py3-none-any.whl
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See also azure-mgmt-servicefabricmanagedclusters · azure-servicefabric · sfctl · azure-mgmt-managementpartner · azure-mgmt-msi · azure-mgmt-trafficmanager · azure-mgmt-iothubprovisioningservices · azure-mgmt-notificationhubs · azure-mgmt-machinelearningcompute · azure-core