azure-mgmt-batchai
Microsoft Azure Batch AI Management Client Library for Python
Decision gist · record as of 2026-08-14
No, unless maintaining legacy code. The package is officially deprecated as of 10-31-2024 and will receive no feature updates or non-security bug fixes. New projects should install azureml-core instead. Existing deployments can continue to function but should plan migration to avoid future support gaps.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Azure subscription credentials and Python 3.7 or later.
- Uses azure-identity for authentication, not legacy azure.common.credentials.
- Low install friction with four lightweight runtime dependencies.
License · maintenance · safety
MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions, requiring only license and copyright notice retention.
last release 2024-10-31 (652 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,741,171 downloads/mo, #1,860 on PyPI
Alternatives
Verify before relying
pip install azure-mgmt-batchai
from azure.mgmt.batchai import BatchAIManagementClient
from azure.identity import DefaultAzureCredential
credential = DefaultAzureCredential()
client = BatchAIManagementClient(credential, subscription_id)- Whether existing Batch AI workloads can be migrated to azureml-core without breaking changes beyond those documented in the migration guide.
- Timeline and support status for security fixes after 10-31-2024.
- Compatibility of async operations (aio namespace) with current Azure service endpoints.
What it is and what it does
Azure Batch AI Management is a Python SDK for controlling Batch AI compute resources on Microsoft Azure. It provides client libraries to create and manage clusters, file servers, jobs, experiments, and workspaces through the Azure Resource Manager API. The package wraps Azure's REST endpoints and handles authentication, polling, and error handling.
This package is deprecated and will receive no updates after 10-31-2024 except security patches. It was designed for distributed machine learning workloads on Azure infrastructure but has been superseded by azureml-core. Existing code using this library will continue to function if credentials and subscription IDs are properly configured, but new projects should adopt the replacement package and follow the published migration guide.
Use it for
- Programmatically provision and tear down Batch AI clusters for temporary compute jobs in existing Azure infrastructure.
- Automate job submission and monitoring for distributed training workloads using the management API.
- Query usage limits and resource quotas for Batch AI workspaces in a subscription.
- Manage experiment grouping and job scheduling within Azure Batch AI workspaces via Python.
- Integrate Batch AI resource lifecycle into CI/CD pipelines or orchestration tools.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, unless maintaining legacy code.
The package is officially deprecated as of 10-31-2024 and will receive no feature updates or non-security bug fixes. New projects should install azureml-core instead. Existing deployments can continue to function but should plan migration to avoid future support gaps.
Install
azure-mgmt-batchai on PyPI
Before you install
Low install friction with four lightweight runtime dependencies. Package is marked inactive (Development Status 7) and officially deprecated as of 10-31-2024; only security fixes are provided until that date. New projects should migrate to azureml-core instead.
Requires Azure subscription credentials and Python 3.7 or later. Uses azure-identity for authentication, not legacy azure.common.credentials.
License in practice
MIT License permits commercial and private use with minimal restrictions, requiring only license and copyright notice retention.
Quickstart
pip install azure-mgmt-batchai
from azure.mgmt.batchai import BatchAIManagementClient
from azure.identity import DefaultAzureCredential
credential = DefaultAzureCredential()
client = BatchAIManagementClient(credential, subscription_id)Verify before relying
- Whether existing Batch AI workloads can be migrated to azureml-core without breaking changes beyond those documented in the migration guide.
- Timeline and support status for security fixes after 10-31-2024.
- Compatibility of async operations (aio namespace) with current Azure service endpoints.
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 652 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 6,741,171 / month, #1,860 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 7 - InactiveLicense :: 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_batchai-7.0.0-py3-none-any.whl
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See also azure-batch · azure-graphrbac · azure-mgmt-scheduler · azure-mgmt-batch · azure-mgmt-datalake-analytics · azureml-core · azure-mgmt-powerbiembedded · azure-mgmt-datalake-store · azure-mgmt-managementpartner · azure-mgmt-msi