azure-loganalytics
Microsoft Azure Log Analytics Client Library for Python
Decision gist · record as of 2026-08-14
No. This package is explicitly unmaintained and superseded by azure-monitor-query. While it carries low install friction and no known vulnerabilities, its inactive status means no bug fixes or API updates will be provided. Existing users should migrate using the published guide; new projects should use azure-monitor-query directly.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Package is inactive and no longer maintained; Microsoft recommends migrating to azure-monitor-query
- Low install friction, but maintenance status is inactive as of the latest release in November 2021.
- The package is explicitly marked as no longer maintained in its own description.
License · maintenance · safety
MIT License (permissive) — MIT License permits use, modification, and distribution with minimal restrictions, suitable for most projects.
last release 2021-11-12 (1736 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,835,059 downloads/mo, #3,505 on PyPI
Alternatives
Verify before relying
pip install azure-loganalytics
from azure.loganalytics import LogAnalyticsClient
# Note: This package is no longer maintained; use azure-monitor-query instead- Whether existing deployments using this package will continue to function with current Azure service APIs
- Compatibility with modern Python versions beyond 3.7, given the package's age and inactive status
What it is and what it does
azure-loganalytics is a Python client library for the Microsoft Azure Log Analytics service, allowing developers to query and retrieve log data from Azure workspaces. It depends on msrest, azure-common, and azure-nspkg to handle REST communication and Azure SDK infrastructure.
However, this package has been explicitly marked as no longer maintained since November 2021. Microsoft has published a migration guide and recommends using azure-monitor-query as its replacement. New projects should not adopt this package; existing users should plan migration to the successor library.
Use it for
- Querying historical Log Analytics data from legacy applications still running on older codebases
- Migrating away from this package to azure-monitor-query using the provided migration guide
- Maintaining existing Python 2.7 or early Python 3 applications that depend on this client
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
This package is explicitly unmaintained and superseded by azure-monitor-query. While it carries low install friction and no known vulnerabilities, its inactive status means no bug fixes or API updates will be provided. Existing users should migrate using the published guide; new projects should use azure-monitor-query directly.
Install
azure-loganalytics on PyPI
Before you install
Low install friction, but maintenance status is inactive as of the latest release in November 2021. The package is explicitly marked as no longer maintained in its own description.
Package is inactive and no longer maintained; Microsoft recommends migrating to azure-monitor-query
License in practice
MIT License permits use, modification, and distribution with minimal restrictions, suitable for most projects.
Quickstart
pip install azure-loganalytics
from azure.loganalytics import LogAnalyticsClient
# Note: This package is no longer maintained; use azure-monitor-query instead
Verify before relying
- Whether existing deployments using this package will continue to function with current Azure service APIs
- Compatibility with modern Python versions beyond 3.7, given the package's age and inactive status
Package facts
| License | MIT License permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesmsrestazure-commonazure-nspkg |
| Maintenance | Actively maintained 1,736 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,835,059 / month, #3,505 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 :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7 |
Evidence: azure_loganalytics-0.1.1-py2.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 monitor legacy”
- azure-loganalyticsProvides a Python client for querying Azure Log Analytics workspaces,…
- opencensus-ext-azureExports logs, metrics, and traces from Python applications to Azure…
- azure-mgmt-schedulerProvides Python bindings to manage Azure Scheduler resources via the…
Give your agent the search over MCP, or paste the wish link into any chat.
More Monitoring packages
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
Provides generated Python code for OpenTelemetry semantic conventions, enabling standardized attribute naming and constant definitions for instrumentation and telemetry collection.
Install it if you are using OpenTelemetry and want to follow semantic conventions correctly.
Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.
Provides the abstract API and interfaces for OpenTelemetry instrumentation in Python, defining how to emit traces, metrics, and logs without tying code to a specific SDK implementation.
Exports OpenTelemetry observability data to an OpenTelemetry Collector using Protobuf-encoded messages over HTTP.
Install it if you are using OpenTelemetry in Python and need to send data to a Collector over HTTP.
Provides automatic instrumentation commands and programmatic APIs to inject distributed tracing into Python applications without code changes, detecting and instrumenting packages used by your program.
Install it if you need distributed tracing without code changes and have compatible instrumented packages in your environment.
See also azure-applicationinsights · azure-monitor-query · azure-mgmt-loganalytics · azure-monitor-ingestion · azure-mgmt-streamanalytics · azure-mgmt-scheduler · azure-synapse-spark · azure-mgmt-monitor · azure-cognitiveservices-knowledge-qnamaker · gooddata-sdk