openvino-telemetry

v2024.5.0

OpenVINO™ Telemetry package for sending statistics with user's consent, used in combination with other OpenVINO™ packages. For more information about how to use this package see README

Latest version published 1 month ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

73 / 100

security
No known security issues
popularity
Popular
maintenance
Healthy
community
Limited

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Popularity

Popular

GitHub Stars: 1
Forks: 8
Contributors: 6

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package openvino-telemetry, we found that it has been starred 1 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 19, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 0
Open PR: 0
Last Release: 1 month ago
Last Commit: 1 month ago

Further analysis of the maintenance status of openvino-telemetry based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that openvino-telemetry demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 6
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: ==3.*

Age: 3 years
Latest Release: 1 month ago
Dependencies: N/A
Versions: 11
Maintainers: 0
Wheels: OS Independent

Readme

OpenVINO™ Telemetry

The implementation of the Python 3 library to send the telemetry data from the OpenVINO™ toolkit components.

To send the data to Google Analytics, use the following three variables: category, action, and label.

In the category, use only the name of the tool. Place all Model Optimizer (MO) topics in the 'mo' category, all Post-Training Optimization Tool (POT) topics in the 'pot' category.
In the action, send a metric or a function, such as accuracy, session, conversion, and others. For example, for MO use: version, framework, conversion_results.
In the label, send more detailed data for your action (function). For example, send a string with the version name for the version or a string with the framework name for the framework. You can send a string with a wrapped dictionary: "{param: value, version: value, error: value}".

NOTE: If you want to track the connection between data (for example, on which operating systems error '123' occurred), send the data in one event and add it to the label together. Example: telemetry.send_event("mo", "error_info", "{os:ubuntu18, error:123}"). If you send the data separately, you will not be able to identify the connection. Some data will be duplicated since the same metric/function will be sent in different events.

NOTE: Sending of telemetry data requires user's consent during installation of OpenVINO™ toolkit component. In case if control file does not exist on the system or it contains a "no" answer, no data will be transmitted.

TIP: To help automate the analytics, always send all the keys for a dictionary in the label variable. If a key is empty, send 'none' as its value.

FAQs

What is openvino-telemetry?

OpenVINO™ Telemetry package for sending statistics with user's consent, used in combination with other OpenVINO™ packag... Visit Snyk Advisor to see a full health score report for openvino-telemetry, including popularity, security, maintenance & community analysis.

Is openvino-telemetry popular?

The python package openvino-telemetry receives a total of 101,565 weekly downloads. As such, openvino-telemetry popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is openvino-telemetry well maintained?

We found that openvino-telemetry demonstrated a healthy version release cadence and project activity. It has a community of 6 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is openvino-telemetry safe to use?

The python package openvino-telemetry was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 22 December-2024, at 17:48 (UTC).

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