# meyda/meyda

Audio feature extraction for JavaScript.

Repository: https://github.com/meyda/meyda
Canonical: https://ross.abutalabs.com/products/meyda
Homepage: https://meyda.js.org/
Language: TypeScript
License: MIT
License Family: permissive
Topics: audio-features, javascript, feature-extraction, spectral-centroid, zero-cross, mir, music-information-retrieval, hacktoberfest
Last push: 2024-07-15T23:28:43+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4405, "days_push": 779, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1662, forks 107 (observed 2026-08-28T04:05:18.704571+00:00)

## What it is
Meyda is a JavaScript audio feature extraction library that computes standard signal features like RMS, spectral centroid, and spectral flatness from audio buffers or real-time streams. It works both offline and in real time via the Web Audio API, in the browser and Node.js.

## Use cases
- extract audio features like spectral centroid and RMS from audio in the browser
- build real-time audio visualizations with the Web Audio API
- compute audio features for machine learning on sound
- analyze wav files offline in Node.js
- get loudness and timbre statistics from microphone input
- music information retrieval in JavaScript

## When to choose
- you need standardized audio features (RMS, spectral centroid, flatness, etc.) in JavaScript
- you want real-time feature extraction alongside the Web Audio API
- you need a lightweight, MIT-licensed library usable in browser and Node.js

## When to avoid
- you need full MIR toolkits with things like chord detection or beat tracking
- you work in Python and want librosa's breadth of features
- you need GPU-accelerated batch feature extraction for large corpora

## Facets
- artifact type: library
- maturity: stable
- function: audio-processing, machine-learning, data-science
- domain: machine-learning
- platform: browser
- tags: audio-features, music-information-retrieval, spectral-analysis, web-audio-api, real-time-audio, signal-processing, audio, nodejs, javascript, typescript, web

## Member repositories
- meyda/meyda (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:18.704571+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:44:34.935186+00:00, confidence not recorded.
  - readme: https://github.com/meyda/meyda (fetched 2026-08-28T04:05:18.704571+00:00, sha c2a3e2c2d645)
  - homepage: https://meyda.js.org/ (fetched 2026-08-29T11:17:10.051545+00:00, sha 6e0a80201d02)
  - site_page: https://meyda.js.org/getting-started (fetched 2026-08-29T11:17:10.060861+00:00, sha fe551afe25bd)
  - site_page: https://meyda.js.org/audio-features (fetched 2026-08-29T11:17:10.062941+00:00, sha c6c2630622bf)
  - registry_npm: https://registry.npmjs.org/meyda (fetched 2026-08-29T11:17:10.065303+00:00, sha bc402ef45ef0)
- Data as of 2026-08-30T08:39:29.467469+00:00.