---
id: azure-mgmt-machinelearningservices
version: "1.0.1"
license: unclear
license_treatment: unclear
maintenance: active
---

# azure-mgmt-machinelearningservices — Microsoft Azure Machinelearningservices Management Client Library for Python

License: unclear · Maintenance: active · Downloads: 152.0K/mo

## What it is and what it does

This is the Azure Machine Learning Services Management Client Library, part of the Microsoft Azure SDK for Python. It allows you to programmatically create, configure, and manage Azure ML resources—workspaces, compute instances, endpoints, jobs, datastores, and related infrastructure—through Python code rather than the Azure portal or CLI. The library wraps the Azure Resource Manager API and handles authentication via Azure Active Directory, requiring environment variables for client credentials and subscription ID.

The package is built on three runtime dependencies: isodate for date/time handling, azure-mgmt-core for shared Azure management client functionality, and typing-extensions for type hints. It supports Python 3.9 through 3.13 and is actively maintained by Microsoft, with the latest release in May 2026. Most use cases involve authenticating with Azure credentials and instantiating a MachineLearningServicesMgmtClient to perform resource operations.

Use it for:

- Automate provisioning and teardown of Azure ML workspaces and compute clusters as part of a CI/CD pipeline
- Programmatically manage batch and online endpoints for model deployment at scale
- Build infrastructure-as-code scripts to configure datastores, environments, and registries across multiple Azure subscriptions
- Create and monitor training jobs, batch deployments, and scheduled pipelines without manual portal interaction
- Integrate Azure ML resource management into Python-based orchestration frameworks or custom automation tools

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides a Python client library for managing Azure Machine Learning Services resources through the Azure Resource Manager API.

Yes, if you need to manage Azure ML resources programmatically from Python. The package is production-stable, actively maintained, and has low install friction. However, clarify the license terms first—the metadata does not specify one—and ensure your environment can provide the required Azure credentials via the documented environment variables.

## Install

pip install azure-mgmt-machinelearningservices
uv add azure-mgmt-machinelearningservices
poetry add azure-mgmt-machinelearningservices

## Installing azure-mgmt-machinelearningservices

Before you install: Low install friction with three lightweight runtime dependencies. The package is actively maintained with recent releases and a stable production status. Requires Python 3.9 or later.

License in practice: License treatment is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before use in proprietary or restricted contexts.

Quickstart:

pip install azure-mgmt-machinelearningservices

from azure.mgmt.machinelearningservices import MachineLearningServicesMgmtClient
import os

sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = MachineLearningServicesMgmtClient(
    subscription_id=sub_id
)

Requires Azure credentials configured via environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID. Python 3.9 or later is required.

Verify before relying:

- Whether the package is covered by Microsoft's standard open-source license (MIT or Apache 2.0) as is typical for Azure SDK packages
- Specific Azure subscription and authentication setup requirements beyond environment variables
- Whether azure-identity is required as a peer dependency or only recommended for the authentication example shown

## Package facts

- License: not declared (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 152.0K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

azure machine learning management, azure ml resource provisioning, azure sdk machine learning, manage azure ml workspaces, azure machine learning client library, azure resource manager ml, azure ml infrastructure as code, azure-sdk, infrastructure-as-code, machine-learning

[View on SkillFed](https://skillfed.io/packages/azure-mgmt-machinelearningservices) · [View on PyPI](https://pypi.org/project/azure-mgmt-machinelearningservices/)