What is virtual-devices?

48/100
Trust Score (D)
⚠️ Use Caution

virtual-devices is a npm that The purpose of this project is to be able to test Remote.it products and features with virtual devices. These virtual device are created from Docker containers with Alpine Linux base images and Connec. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by kyleobrien1668. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
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STARS
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DOWNLOADS

What virtual-devices Does

virtual-devices is a npm in the npm category. The purpose of this project is to be able to test Remote.it products and features with virtual devices. These virtual device are created from Docker containers with Alpine Linux base images and Connectd installed.. It is published by kyleobrien1668 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use virtual-devices

virtual-devices is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorkyleobrien1668
Categorynpm
LicenseNot specified
Typenpm
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=remote-it-virtual-devices

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is virtual-devices used for?
virtual-devices is a npm tool. The purpose of this project is to be able to test Remote.it products and features with virtual devices. These virtual device are created from Docker containers with Alpine Linux base images and Connec.
Is virtual-devices free?
License: Check project page. virtual-devices has 0 GitHub stars.
Is virtual-devices safe?
virtual-devices has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to virtual-devices?
Top alternatives: . See full comparison.

Last updated October 2026. Trust scores based on automated analysis of public data.

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