azure-mgmt-loganalytics
Microsoft Azure Loganalytics Management Client Library for Python
Decision gist · record as of 2026-08-14
Yes, if you need to manage Azure Log Analytics resources programmatically. The package is actively maintained, has no known vulnerabilities, uses a permissive MIT license, and is part of the official Azure SDK. However, be aware that version 14.0.0 contains breaking changes requiring code migration if upgrading from earlier versions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later and Azure subscription credentials configured via environment variables (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID).
- Low install friction with a pure-Python wheel distribution.
- The package is actively maintained with a recent release (51 days old) and active repository status.
License · maintenance · safety
MIT (permissive) — Licensed under MIT (permissive), allowing commercial and private use with minimal restrictions.
last release 2026-06-24 (51 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 7,704,407 downloads/mo, #1,706 on PyPI
Alternatives
Verify before relying
pip install azure-mgmt-loganalytics
from azure.mgmt.loganalytics import LogAnalyticsManagementClient
from azure.mgmt.core import get_client_from_auth_file
client = LogAnalyticsManagementClient(
subscription_id="your-subscription-id",
credential=credential
)- Whether azure-identity is a required runtime dependency or only needed for authentication examples
- Specific breaking changes in version 14.0.0 and migration effort required for existing code
- Full scope of operations available through LogAnalyticsManagementClient beyond those listed in release notes
What it is and what it does
This is the official Microsoft Azure SDK client library for programmatically managing Log Analytics resources in Azure. It provides a LogAnalyticsManagementClient that wraps Azure's management API, allowing you to create and configure workspaces, manage data sources, handle data exports, set up linked services, and perform other administrative tasks on Log Analytics infrastructure.
The package depends on isodate for date handling, azure-mgmt-core for shared Azure SDK infrastructure, and typing-extensions for type hints. It requires Python 3.10 or later and uses Microsoft Entra for authentication via environment variables. Version 14.0.0 introduced significant structural changes to models, moving many properties under a properties field, which may require code updates if upgrading from earlier versions.
Use it for
- Automate creation and configuration of Azure Log Analytics workspaces as part of infrastructure-as-code deployments
- Programmatically manage data sources and ingestion settings for Log Analytics workspaces
- Set up data exports to external destinations for compliance or archival purposes
- Configure linked services and storage accounts for Log Analytics resources in multi-workspace environments
- Manage saved searches and query packs across multiple workspaces via automation
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to manage Azure Log Analytics resources programmatically.
The package is actively maintained, has no known vulnerabilities, uses a permissive MIT license, and is part of the official Azure SDK. However, be aware that version 14.0.0 contains breaking changes requiring code migration if upgrading from earlier versions.
Install
azure-mgmt-loganalytics on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. The package is actively maintained with a recent release (51 days old) and active repository status. Requires Python 3.10 or later.
Requires Python 3.10 or later and Azure subscription credentials configured via environment variables (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID).
License in practice
Licensed under MIT (permissive), allowing commercial and private use with minimal restrictions.
Quickstart
pip install azure-mgmt-loganalytics
from azure.mgmt.loganalytics import LogAnalyticsManagementClient
from azure.mgmt.core import get_client_from_auth_file
client = LogAnalyticsManagementClient(
subscription_id="your-subscription-id",
credential=credential
)Verify before relying
- Whether azure-identity is a required runtime dependency or only needed for authentication examples
- Specific breaking changes in version 14.0.0 and migration effort required for existing code
- Full scope of operations available through LogAnalyticsManagementClient beyond those listed in release notes
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 51 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 7,704,407 / month, #1,706 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_loganalytics-14.0.0-py3-none-any.whl
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See also azure-mgmt-resource · azure-mgmt-datafactory · azure-mgmt-managementgroups · azure-loganalytics · azure-mgmt-streamanalytics · azure-mgmt-web · azure-mgmt-costmanagement · azure-mgmt-batch · azure-mgmt-storage · gooddata-sdk