What is SoundSc@pes?

50/100
Trust Score (C-)
⚠️ Use Caution

SoundSc@pes is a steam that SoundSc@pes is an interactive audio sample player. It features an intuitive user interface that emphasizes fast iteration and creativity. Become immersed in reactive animations as you discover new way. It has a Nerq Trust Score of 50/100 (C-). 100 GitHub stars. Published by Colin Stets. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
C-
GRADE
100
STARS
100
DOWNLOADS

What SoundSc@pes Does

SoundSc@pes is a steam in the steam category. SoundSc@pes is an interactive audio sample player. It features an intuitive user interface that emphasizes fast iteration and creativity. Become immersed in reactive animations as you discover new ways to express yourself with a variety of audio editing tools and effects.. It is published by Colin Stets and has no specified license. With 100 GitHub stars and 100 downloads, it has a small community of users and contributors.

Who Should Use SoundSc@pes

SoundSc@pes is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorColin Stets
Categorysteam
LicenseNot specified
Typesteam
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=soundsc-pes

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

Frequently Asked Questions

What is SoundSc@pes used for?
SoundSc@pes is a steam tool. SoundSc@pes is an interactive audio sample player. It features an intuitive user interface that emphasizes fast iteration and creativity. Become immersed in reactive animations as you discover new way.
Is SoundSc@pes free?
License: Check project page. SoundSc@pes has 100 GitHub stars.
Is SoundSc@pes safe?
SoundSc@pes has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to SoundSc@pes?
Top alternatives: . See full comparison.

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

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