About stdlib...
We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
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Allocate a buffer using an octet array.
npm install @stdlib/buffer-from-arrayAlternatively,
- To load the package in a website via a
scripttag without installation and bundlers, use the ES Module available on theesmbranch (see README). - If you are using Deno, visit the
denobranch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umdbranch (see README).
The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var array2buffer = require( '@stdlib/buffer-from-array' );Allocates a buffer using an array (or array-like object) of octets.
var buf = array2buffer( [ 1, 2, 3, 4 ] );
// returns <Buffer>[ 1, 2, 3, 4 ]var array2buffer = require( '@stdlib/buffer-from-array' );
var octets;
var buf;
var str;
var i;
// Define a string we want to convert to a buffer:
str = 'this is a string.';
// Manually convert the string to an array of octets...
octets = new Array( str.length );
for ( i = 0; i < str.length; i++ ) {
octets[ i ] = str.charCodeAt( i ) % 256;
}
// Create a buffer from the octet array:
buf = array2buffer( octets );
console.log( buf.toString() );@stdlib/buffer-ctor: Buffer.@stdlib/buffer-from-arraybuffer: allocate a buffer from an ArrayBuffer.@stdlib/buffer-from-buffer: copy buffer data to a new Buffer instance.@stdlib/buffer-from-string: allocate a buffer containing a provided string.
This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
Copyright © 2016-2025. The Stdlib Authors.
