Stream-like

Test if a value is Node stream-like.

Installation

npm install @stdlib/assert-is-node-stream-like

Alternatively,

To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
If you are using Deno, visit the deno branch (see README for usage intructions).
For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (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.

Usage

var isNodeStreamLike = require( '@stdlib/assert-is-node-stream-like' );

isNodeStreamLike( value )

Tests if a value is Node stream-like.

var transformStream = require( '@stdlib/streams-node-transform' );

var bool = isNodeStreamLike( transformStream() );
// returns true

Examples

var stream = require( 'stream' );
var transformStream = require( '@stdlib/streams-node-transform' );
var isNodeStreamLike = require( '@stdlib/assert-is-node-stream-like' );

var bool = isNodeStreamLike( new stream.Stream() );
// returns true

bool = isNodeStreamLike( new stream.Readable() );
// returns true

bool = isNodeStreamLike( new stream.Writable() );
// returns true

bool = isNodeStreamLike( new stream.Duplex() );
// returns true

bool = isNodeStreamLike( new stream.Transform() );
// returns true

bool = isNodeStreamLike( transformStream() );
// returns true

bool = isNodeStreamLike( {} );
// returns false

bool = isNodeStreamLike( [] );
// returns false

bool = isNodeStreamLike( null );
// returns false

function Stream() {
    return this;
}

bool = isNodeStreamLike( Stream );
// returns false

bool = isNodeStreamLike( new Stream() );
// returns false

Notice

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.