npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

qss

v3.0.0

Published

A tiny (305B) browser utility for stringifying a query Object.

Downloads

415,371

Readme

qss Build Status

A tiny (305B) browser utility for stringifying a query Object.

You should only consider using this within a browser context since Node's built-in querystring.stringify is much faster and should be used in a Node environment! An ideal use case is serializing a query object before an API request is sent.

This module exposes three module definitions:

  • ES Module: dist/qss.mjs
  • CommonJS: dist/qss.js
  • UMD: dist/qss.min.js

Install

$ npm install --save qss

Usage

import { encode, decode } from 'qss';

encode({ foo:'hello', bar:[1,2,3], baz:true });
//=> 'foo=hello&bar=1&bar=2&bar=3&baz=true'

encode({ foo:123 }, '?');
//=> '?foo=123'

encode({ bar:'world' }, 'foo=hello&');
//=> 'foo=hello&bar=world'

decode('foo=hello&bar=1&bar=2&bar=3&baz=true');
//=> { foo:'hello', bar:[1,2,3], baz:true };

API

qss.encode(params, prefix)

Returns: String

Returns the formatted querystring.

params

Type: Object

The object that contains all query parameter keys & their values.

prefix

Type: String Default: ''

An optional prefix. The stringified params will be appended to this value, so it must end with your desired joiner; eg ?.

Important: No checks or validations will run on your prefix. Similarly, no character is used to "glue" the query string to your prefix string.

qss.decode(query)

Returns: Object

Returns an Object with decoded keys and values.

Repetitive keys will form an Array of its values. Also, qss will attempt to typecast Boolean and Number values.

query

Type: String

The query string, without its leading ? character.

qss.decode(
  location.search.substring(1) // removes the "?"
);

Benchmarks

Running Node v10.13.0

Encode

qss             x 1,112,341 ops/sec ±0.24% (96 runs sampled)
native          x 5,303,246 ops/sec ±0.76% (95 runs sampled)
querystringify  x   950,501 ops/sec ±0.76% (96 runs sampled)
query-string    x   347,603 ops/sec ±1.05% (92 runs sampled)
qs              x   733,449 ops/sec ±0.62% (97 runs sampled)

Decode

qss             x   443,667 ops/sec ±0.17% (95 runs sampled)
native          x   189,194 ops/sec ±0.44% (94 runs sampled)
querystringify  x   282,169 ops/sec ±0.26% (96 runs sampled)
query-string    x   191,334 ops/sec ±0.71% (95 runs sampled)
qs              x   168,165 ops/sec ±0.41% (93 runs sampled)

License

MIT © Luke Edwards