azureml-telemetry
Used to collect telemetry data like Log messages, metrics, events, and activity messages
Decision gist · record as of 2026-08-14
Yes, if you are working within Azure ML and need to send telemetry to Application Insights. The package has low install friction, active maintenance, and no known vulnerabilities. The main caveat is the unclear license—review the Microsoft URL before use in proprietary projects. If you are not already in the Azure ecosystem, this package is unlikely to be useful.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.7 or later (supports up to Python <4).
- Application Insights backend connectivity needed for telemetry transmission.
- Low install friction with a single runtime dependency (applicationinsights).
License · maintenance · safety
(unclear) — License treatment is unclear—the package points to a Microsoft URL (https://aka.ms/azureml-sdk-license) rather than a standard SPDX identifier, so you should review the actual license terms before use in proprietary or copyleft projects.
last release 2026-02-25 (170 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 348,782 downloads/mo, #7,339 on PyPI
Alternatives
Verify before relying
pip install azureml-telemetry
from azureml_telemetry import get_telemetry_log
log = get_telemetry_log()
log.log_event('event_name', {'key': 'value'})- Whether the package works standalone or requires broader Azure ML SDK integration to function.
- Specific telemetry data types and structured logging formats supported beyond the description's examples.
- Whether free-text vs. structured logging modes have different performance or storage implications.
What it is and what it does
azureml-telemetry is Microsoft's Python package for collecting and sending telemetry data to Application Insights, typically used within Azure Machine Learning workflows. It provides a logging interface to capture messages, metrics, events, and activity traces from your code, supporting both free-text and structured logging modes. The package wraps the underlying applicationinsights library and is designed to integrate with Azure's monitoring and diagnostics infrastructure.
The package is part of the Azure ML ecosystem and is most useful when you're already working within Azure ML experiments or pipelines and need to send observability data to Application Insights. It has low install friction (one dependency) and active maintenance, supporting current Python versions (3.7+). The license is unclear because it points to a Microsoft URL rather than a standard open-source identifier, so you should verify the terms if you're using it in a proprietary or copyleft context.
Use it for
- Log custom metrics and events from Azure ML training runs to Application Insights for post-experiment analysis.
- Capture structured diagnostic data during model training to monitor code behavior and performance.
- Send activity traces from ML pipelines to centralized Azure monitoring for troubleshooting and auditing.
- Instrument Python scripts running in Azure ML compute to collect free-text or metric-based telemetry.
- Track experiment metadata and custom events alongside Azure ML's built-in logging for richer observability.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are working within Azure ML and need to send telemetry to Application Insights.
The package has low install friction, active maintenance, and no known vulnerabilities. The main caveat is the unclear license—review the Microsoft URL before use in proprietary projects. If you are not already in the Azure ecosystem, this package is unlikely to be useful.
Install
azureml-telemetry on PyPI
Before you install
Low install friction with a single runtime dependency (applicationinsights). Active maintenance status with a recent release (170 days ago), supporting current Python versions.
Requires Python 3.7 or later (supports up to Python <4). Application Insights backend connectivity needed for telemetry transmission.
License in practice
License treatment is unclear—the package points to a Microsoft URL (https://aka.ms/azureml-sdk-license) rather than a standard SPDX identifier, so you should review the actual license terms before use in proprietary or copyleft projects.
Quickstart
pip install azureml-telemetry
from azureml_telemetry import get_telemetry_log
log = get_telemetry_log()
log.log_event('event_name', {'key': 'value'})Verify before relying
- Whether the package works standalone or requires broader Azure ML SDK integration to function.
- Specific telemetry data types and structured logging formats supported beyond the description's examples.
- Whether free-text vs. structured logging modes have different performance or storage implications.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release <4,>=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageapplicationinsights |
| Maintenance | Actively maintained 170 days since the last release |
| First released | |
| Downloads | 348,782 / month, #7,339 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: azureml_telemetry-1.62.0-py3-none-any.whl
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