Gathering detailed insights and metrics for waveform-data
Gathering detailed insights and metrics for waveform-data
Installations
npm install waveform-dataScore
90.5
Supply Chain
100
Quality
80.1
Maintenance
100
Vulnerability
81.3
License
Developer
Developer Guide
BETA
Module System
CommonJS, UMD
Min. Node Version
Typescript Support
Yes
Node Version
20.10.0
NPM Version
10.2.3
Statistics
1,038 Stars
349 Commits
103 Forks
47 Watching
3 Branches
92 Contributors
Updated on 14 Nov 2024
Languages
JavaScript (100%)
Total Downloads
Cumulative downloads
Total Downloads
2,275,111
Last day
29.1%
2,305
Compared to previous day
Last week
3.1%
11,374
Compared to previous week
Last month
-38.6%
49,432
Compared to previous month
Last year
60.5%
754,046
Compared to previous year
Daily Downloads
Weekly Downloads
Monthly Downloads
Yearly Downloads
Dev Dependencies
29
@babel/preset-env@babel/register@pyrologic/rollup-plugin-web-worker-loader@rollup/plugin-babel@rollup/plugin-commonjs@rollup/plugin-node-resolve@rollup/plugin-terserbabel-plugin-istanbulbrfschaicopyfileseslinteslint-plugin-chai-friendlykarmakarma-chai-sinonkarma-chrome-launcherkarma-coveragekarma-firefox-launcherkarma-mochakarma-rollup-preprocessorkarma-safari-launcherkarma-spec-reportermocharollupservesinonsinon-chaiwatchifyxvfb-maybe
Versions
waveform-data.js
waveform-data.js is a JavaScript library for creating zoomable representations of audio waveforms to enable visualisation of audio content.
waveform-data.js is part of a BBC R&D Browser-based audio waveform visualisation software family:
- audiowaveform: C++ program that generates waveform data files from MP3 or WAV format audio.
- audio_waveform-ruby: A Ruby gem that can read and write waveform data files.
- waveform-data.js: JavaScript library that provides access to precomputed waveform data files, or can generate waveform data using the Web Audio API.
- peaks.js: JavaScript UI component for interacting with waveforms.
We use these projects within the BBC in applications such as the BBC World Service Radio Archive and browser-based editing and sharing tools for BBC content editors.
Install
Use npm to install waveform-data.js, for both Node.js and browser-based
applications:
1npm install --save waveform-data
Usage and examples
waveform-data.js is available as a UMD
module so it can be used from a <script> tag, or as a RequireJS or CommonJS
module. See dist/waveform-data.js and dist/waveform-data.min.js.
Importing waveform-data.js
Using a script tag
Simply add waveform-data.js in a script tag in your HTML page:
1<!DOCTYPE html> 2<html> 3 <body> 4 <script src="/path/to/waveform-data.js"></script> 5 <script> 6 var waveform = new WaveformData(...); 7 </script> 8 </body> 9</html>
Using ES6
An ES6 module build is provided for use with bundlers such as Webpack and Rollup. See dist/waveform-data.esm.js.
1import WaveformData from 'waveform-data';
Using RequireJS
The UMD bundle can be used with RequireJS:
1define(['WaveformData'], function(WaveformData) { 2 // ... 3});
Using CommonJS (Node.js)
A CommonJS build is provided for use with Node.js. See dist/waveform-data.cjs.js.
1const WaveformData = require('waveform-data');
Receive binary waveform data
You can create and initialise a WaveformData object from
waveform data in either binary or JSON format, using the
Fetch API, as follows.
Binary format
Use audiowaveform to generate binary format waveform data, using a command such as:
1audiowaveform -i track.mp3 -o track.dat -b 8 -z 256
Copy the waveform data file track.dat to your web server, then use the
following code in your web application to request the waveform data:
1fetch('https://example.com/waveforms/track.dat') 2 .then(response => response.arrayBuffer()) 3 .then(buffer => WaveformData.create(buffer)) 4 .then(waveform => { 5 console.log(`Waveform has ${waveform.channels} channels`); 6 console.log(`Waveform has length ${waveform.length} points`); 7 });
JSON format
Alternatively, audiowaveform can generate waveform data in JSON format:
1audiowaveform -i track.mp3 -o track.json -b 8 -z 256
Use the following code to request the waveform data:
1fetch('https://example.com/waveforms/track.json') 2 .then(response => response.json()) 3 .then(json => WaveformData.create(json)) 4 .then(waveform => { 5 console.log(`Waveform has ${waveform.channels} channels`); 6 console.log(`Waveform has length ${waveform.length} points`); 7 });
Using the Web Audio API
You can also create waveform data from audio in the browser, using the Web Audio API.
As input, you can either use an ArrayBuffer containing the original encoded
audio (e.g., in MP3, Ogg Vorbis, or WAV format), or an AudioBuffer containing
the decoded audio samples.
Note that this approach is generally less efficient than pre-processing the audio server-side, using audiowaveform.
Waveform data is created in two steps:
-
If you pass an
ArrayBuffercontaining encoded audio, the audio is decoded using the Web Audio API's decodeAudioData method. This must done on the browser's UI thread, so will be a blocking operation. -
The decoded audio is processed to produce the waveform data. To avoid further blocking the browser's UI thread, by default this step is done using a Web Worker, if supported by the browser. You can disable the worker and run the processing in the main thread by setting
disable_workertotruein the options.
1const audioContext = new AudioContext(); 2 3fetch('https://example.com/audio/track.ogg') 4 .then(response => response.arrayBuffer()) 5 .then(buffer => { 6 const options = { 7 audio_context: audioContext, 8 array_buffer: buffer, 9 scale: 128 10 }; 11 12 return new Promise((resolve, reject) => { 13 WaveformData.createFromAudio(options, (err, waveform) => { 14 if (err) { 15 reject(err); 16 } 17 else { 18 resolve(waveform); 19 } 20 }); 21 }); 22 }) 23 .then(waveform => { 24 console.log(`Waveform has ${waveform.channels} channels`); 25 console.log(`Waveform has length ${waveform.length} points`); 26 });
If you have an AudioBuffer containing decoded audio samples, e.g., from
AudioContext.decodeAudioData
then you can pass this directly to WaveformData.createFromAudio:
1const audioContext = new AudioContext(); 2 3audioContext.decodeAudioData(arrayBuffer) 4 .then((audioBuffer) => { 5 const options = { 6 audio_context: audioContext, 7 audio_buffer: audioBuffer, 8 scale: 128 9 }; 10 11 return new Promise((resolve, reject) => { 12 WaveformData.createFromAudio(options, (err, waveform) => { 13 if (err) { 14 reject(err); 15 } 16 else { 17 resolve(waveform); 18 } 19 }); 20 }); 21 }) 22 .then(waveform => { 23 console.log(`Waveform has ${waveform.channels} channels`); 24 console.log(`Waveform has length ${waveform.length} points`); 25 });
Drawing a waveform image
Once you've created a WaveformData object, you can use it to draw a waveform
image, using the
Canvas API or
a visualization library such as D3.js.
Canvas example
1const waveform = WaveformData.create(raw_data); 2 3const scaleY = (amplitude, height) => { 4 const range = 256; 5 const offset = 128; 6 7 return height - ((amplitude + offset) * height) / range; 8} 9 10const ctx = canvas.getContext('2d'); 11ctx.beginPath(); 12 13const channel = waveform.channel(0); 14 15// Loop forwards, drawing the upper half of the waveform 16for (let x = 0; x < waveform.length; x++) { 17 const val = channel.max_sample(x); 18 19 ctx.lineTo(x + 0.5, scaleY(val, canvas.height) + 0.5); 20} 21 22// Loop backwards, drawing the lower half of the waveform 23for (let x = waveform.length - 1; x >= 0; x--) { 24 const val = channel.min_sample(x); 25 26 ctx.lineTo(x + 0.5, scaleY(val, canvas.height) + 0.5); 27} 28 29ctx.closePath(); 30ctx.stroke(); 31ctx.fill();
D3.js example
See demo/d3.html.
HTML
1<div id="waveform-container"></div>
JavaScript
1const waveform = WaveformData.create(raw_data); 2const channel = waveform.channel(0); 3const container = d3.select('#waveform-container'); 4const x = d3.scaleLinear(); 5const y = d3.scaleLinear(); 6const offsetX = 100; 7 8const min = channel.min_array(); 9const max = channel.max_array(); 10 11x.domain([0, waveform.length]).rangeRound([0, 1000]); 12y.domain([d3.min(min), d3.max(max)]).rangeRound([offsetX, -offsetX]); 13 14const area = d3.svg.area() 15 .x((d, i) => x(i)) 16 .y0((d, i) => y(min[i])) 17 .y1((d, i) => y(d)); 18 19const graph = container.append('svg') 20 .style('width', '1000px') 21 .style('height', '200px') 22 .datum(max) 23 .append('path') 24 .attr('transform', () => `translate(0, ${offsetX})`) 25 .attr('d', area) 26 .attr('stroke', 'black'); 27
In Node.js
You can use waveform-data.js to consume or generate waveform data from a Node.js application, e.g., a web server.
1const WaveformData = require('waveform-data'); 2const express = require('express'); 3const fs = require('fs'); 4const app = express(); 5 6app.get('/waveforms/:id.json', (req, res) => { 7 res.set('Content-Type', 'application/json'); 8 9 fs.createReadStream(`path/to/${req.params.id}.json`) 10 .pipe(res); 11});
The following example shows a Node.js command-line application that requests waveform data from a web API and resamples it to a width of 2000 pixels.
1#!/usr/bin/env node 2 3// Save as: app/bin/cli-resampler.js 4 5const WaveformData = require('waveform-data'); 6const request = require('superagent'); 7const args = require('yargs').argv; 8 9request.get(`https://api.example.com/waveforms/${args.waveformid}.json`) 10 .then(response => { 11 const waveform = WaveformData.create(response.body); 12 const resampledWaveform = waveform.resample({ width: 2000 }); 13 const channel = resampledWaveform.channel(0); 14 15 process.stdout.write(JSON.stringify({ 16 min: channel.min_array(), 17 max: channel.max_array() 18 })); 19});
Usage: ./app/bin/cli-resampler.js --waveformid=1337
Data format
The file format used and consumed by WaveformData is documented here as part of the audiowaveform project.
JavaScript API
Please refer here for full API documentation.
Browser support
Any browser supporting ECMAScript 5 will be enough to use the library -
think Array.forEach:
- IE9+, Firefox Stable, Chrome Stable, Safari 6+ are fully supported;
- IE10+ is required for the TypedArray Adapter;
- Firefox 23+ and Webkit/Blink browsers are required for Web Audio API support.
Development
To develop the code, install Node.js and
npm. After obtaining the waveform-data.js source code,
run npm install to install Node.js package dependencies.
Credits
This library was written by:
Thank you to all our contributors.
This program contains code adapted from Audacity, used with permission.
License
See LICENSE for details.
Contributing
Every contribution is welcomed, either it's code, idea or a merci!
Guidelines are provided and every commit is tested against unit tests using Karma runner and the Chai assertion library.
Copyright
Copyright 2024 British Broadcasting Corporation
No vulnerabilities found.
Reason
no binaries found in the repo
Reason
no dangerous workflow patterns detected
Reason
license file detected
Details
- Info: project has a license file: LICENSE:0
- Warn: project license file does not contain an FSF or OSI license.
Reason
dependency not pinned by hash detected -- score normalized to 3
Details
- Warn: GitHub-owned GitHubAction not pinned by hash: .github/workflows/node.js.yml:30: update your workflow using https://app.stepsecurity.io/secureworkflow/bbc/waveform-data.js/node.js.yml/master?enable=pin
- Warn: GitHub-owned GitHubAction not pinned by hash: .github/workflows/node.js.yml:32: update your workflow using https://app.stepsecurity.io/secureworkflow/bbc/waveform-data.js/node.js.yml/master?enable=pin
- Warn: GitHub-owned GitHubAction not pinned by hash: .github/workflows/npm-publish.yml:28: update your workflow using https://app.stepsecurity.io/secureworkflow/bbc/waveform-data.js/npm-publish.yml/master?enable=pin
- Warn: GitHub-owned GitHubAction not pinned by hash: .github/workflows/npm-publish.yml:30: update your workflow using https://app.stepsecurity.io/secureworkflow/bbc/waveform-data.js/npm-publish.yml/master?enable=pin
- Warn: GitHub-owned GitHubAction not pinned by hash: .github/workflows/npm-publish.yml:45: update your workflow using https://app.stepsecurity.io/secureworkflow/bbc/waveform-data.js/npm-publish.yml/master?enable=pin
- Warn: GitHub-owned GitHubAction not pinned by hash: .github/workflows/npm-publish.yml:46: update your workflow using https://app.stepsecurity.io/secureworkflow/bbc/waveform-data.js/npm-publish.yml/master?enable=pin
- Info: 0 out of 6 GitHub-owned GitHubAction dependencies pinned
- Info: 3 out of 3 npmCommand dependencies pinned
Reason
detected GitHub workflow tokens with excessive permissions
Details
- Warn: no topLevel permission defined: .github/workflows/node.js.yml:1
- Warn: no topLevel permission defined: .github/workflows/npm-publish.yml:1
- Info: no jobLevel write permissions found
Reason
no SAST tool detected
Details
- Warn: no pull requests merged into dev branch
Reason
Found 0/30 approved changesets -- score normalized to 0
Reason
0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Reason
no effort to earn an OpenSSF best practices badge detected
Reason
project is not fuzzed
Details
- Warn: no fuzzer integrations found
Reason
security policy file not detected
Details
- Warn: no security policy file detected
- Warn: no security file to analyze
- Warn: no security file to analyze
- Warn: no security file to analyze
Reason
branch protection not enabled on development/release branches
Details
- Warn: branch protection not enabled for branch 'master'
Reason
12 existing vulnerabilities detected
Details
- Warn: Project is vulnerable to: GHSA-qwcr-r2fm-qrc7
- Warn: Project is vulnerable to: GHSA-grv7-fg5c-xmjg
- Warn: Project is vulnerable to: GHSA-pxg6-pf52-xh8x
- Warn: Project is vulnerable to: GHSA-3xgq-45jj-v275
- Warn: Project is vulnerable to: GHSA-434g-2637-qmqr
- Warn: Project is vulnerable to: GHSA-49q7-c7j4-3p7m
- Warn: Project is vulnerable to: GHSA-977x-g7h5-7qgw
- Warn: Project is vulnerable to: GHSA-f7q4-pwc6-w24p
- Warn: Project is vulnerable to: GHSA-fc9h-whq2-v747
- Warn: Project is vulnerable to: GHSA-9wv6-86v2-598j
- Warn: Project is vulnerable to: GHSA-gcx4-mw62-g8wm
- Warn: Project is vulnerable to: GHSA-3h5v-q93c-6h6q
Score
2.7
/10
Last Scanned on 2024-11-25
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