openvino-telemetry
OpenVINO™ Telemetry package for sending statistics with user's consent, used in combination with other OpenVINO™ packages.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Telemetry transmission requires user consent via a control file on the system; if absent or set to 'no', no data is sent.
- Low friction: pure Python wheel with no runtime dependencies.
- Actively maintained with recent releases; last commit 2026-07-20.
License · maintenance · safety
permissive license (permissive) — Apache 2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
last release 2025-07-07 (403 days) · last repo commit 2026-07-20 · 4 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,702,850 downloads/mo, #3,640 on PyPI
Alternatives
Verify before relying
pip install openvino-telemetry
from openvino_telemetry import send_event
send_event('mo', 'version', '2025.2.0')- 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.
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 on it.
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
Before you install
Low friction: pure Python wheel with no runtime dependencies. Actively maintained with recent releases; last commit 2026-07-20.
Telemetry transmission requires user consent via a control file on the system; if absent or set to 'no', no data is sent.
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')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 | permissive 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 |
| Classifiers | License :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: openvino_telemetry-2025.2.0-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 › “openvino telemetry tracking”
- openvino-telemetrySends telemetry data from OpenVINO toolkit components to Google…
- openvino-tokenizersConverts HuggingFace tokenizers into OpenVINO models for text…
- cua-coreCua Core provides shared utilities, helper functions, and core…
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 kanaries-track · kedro-telemetry · universal-analytics-python3 · scarf-sdk · posthoganalytics · iterative-telemetry · openvino-dev · newrelic-telemetry-sdk · openvino · opentelemetry-exporter-gcp-monitoring