What is web-audio-analyzer?

48/100
Trust Score (D)
⚠️ Use Caution

web-audio-analyzer is a npm that A lightweight, dependency-free library for analyzing audio buffers in the browser. It extracts musical features (RMS energy, spectral brightness, texture) and robustly classifies audio as **Reverb** o. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by inkspeck. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What web-audio-analyzer Does

web-audio-analyzer is a npm in the npm category. A lightweight, dependency-free library for analyzing audio buffers in the browser. It extracts musical features (RMS energy, spectral brightness, texture) and robustly classifies audio as **Reverb** or **Delay** based on peak detection and density.. It is published by inkspeck and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use web-audio-analyzer

web-audio-analyzer is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorinkspeck
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=web-audio-analyzer

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

Frequently Asked Questions

What is web-audio-analyzer used for?
web-audio-analyzer is a npm tool. A lightweight, dependency-free library for analyzing audio buffers in the browser. It extracts musical features (RMS energy, spectral brightness, texture) and robustly classifies audio as **Reverb** o.
Is web-audio-analyzer free?
License: Check project page. web-audio-analyzer has 0 GitHub stars.
Is web-audio-analyzer safe?
web-audio-analyzer has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to web-audio-analyzer?
Top alternatives: . See full comparison.

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

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