openvino-telemetry
OpenVINO™ Telemetry package for sending statistics with user's consent, used in combination with other OpenVINO™ packages.
What it is and what it does
OpenVINO Telemetry is a Python library that instruments OpenVINO toolkit components to send usage statistics and diagnostic data to Google Analytics. It provides a simple API for sending structured events with three parameters—category (tool name), action (metric or function), and label (detailed data)—allowing toolkit developers to track feature usage, errors, and performance metrics across their user base.
The library respects user privacy by requiring explicit consent before transmitting any data; it checks for a system control file and only sends telemetry when the user has opted in. It has no external runtime dependencies, making it lightweight to bundle with other OpenVINO packages. Events can include structured data (dictionaries) in the label field, and the library encourages sending all relevant keys together in a single event to preserve correlations (e.g., linking errors to specific operating systems).
Use it for:
- Track which frameworks and versions users convert models with in Model Optimizer (MO).
- Monitor error rates and types across Post-Training Optimization Tool (POT) deployments.
- Correlate toolkit usage patterns with operating system and environment metadata.
- Measure adoption of specific toolkit features by sending session and conversion events.
- Identify common conversion failures and their associated parameters for debugging.
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Sends telemetry data from OpenVINO toolkit components to Google Analytics with user consent, using category, action, and label parameters to structure event data.
Yes, if you are developing or packaging OpenVINO toolkit components and need to collect user consent-respecting telemetry. The package is lightweight, actively maintained, permissively licensed, and has no external dependencies. Install only if you intend to integrate it into an OpenVINO-based tool; it is not a general-purpose analytics library.
Install
openvino-telemetry on PyPI
pip
pip install openvino-telemetryuv
uv add openvino-telemetrypoetry
poetry add openvino-telemetryInstalling openvino-telemetry
Before you install
Low friction: pure Python wheel with no runtime dependencies. Actively maintained with recent releases; last commit 2026-07-20.
License in practice
Apache 2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install openvino-telemetry
from openvino_telemetry import send_event
send_event('mo', 'version', '2025.2.0')
Telemetry transmission requires user consent via a control file on the system; if absent or set to 'no', no data is sent.
Verify before relying
- Whether the package works with all Python 3 versions or has undocumented minimum version requirements.
- Details on the control file format and location for consent management across different operating systems.
- Whether Google Analytics is the only supported backend or if other analytics services are supported.
Package facts
| License | OSI Approved :: Apache Software License (permissive) |
| Python support | not specified |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | none |
| Maintenance | actively maintained — 403 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,702,850/month — #3,640 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: openvino_telemetry-2025.2.0-py3-none-any.whl
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