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

@shelf/fast-normalize-spaces

v2.0.0

Published

A faster (by 16-70%) implementation of "normalize-space-x" package that uses at least 3x less RAM

Downloads

30,153

Readme

fast-normalize-spaces CircleCI

fast-normalize-spaces

Install

$ yarn add @shelf/fast-normalize-spaces

Usage

const {normalizeSpaces} = require('@shelf/fast-normalize-spaces');

normalizeSpaces('   hello     \n\n\n   \n \n \t world   ');
// 'hello world'

Benchmark

All tests was launched on MacBook Pro 2020:

  • CPU: 2 GHz Quad-Core Intel Core i5 10th gen
  • RAM: 16 GB 3733 MHz LPDDR4X

Speed

| normalize-space-x | @shelf/fast-normalize-spaces | Improvement | | ------------------------------------------------------------------ | -------------------------------------------------------------------------------- | ----------- | | ~33 kb: 2 994 ops/s, ±2.34% | ~33 kb: 3 599 ops/s, ±2.37% | 16.81% | | ~330 kb: 267 ops/s, ±1.66% | ~330 kb: 395 ops/s, ±1.89% | 32.41% | | ~3.3 mb: 9 ops/s, ±1.15% | ~3.3 mb: 31 ops/s, ±3.76% | 70.97% | | ~33 mb: 1 ops/s, ±12.91% | ~33 mb: 3 ops/s, ±2.70% | 66.67% |

You can run yarn benchmark:speed to test on your own.

Memory usage

| Text size | normalize-space-x | @shelf/fast-normalize-spaces | Improvement | | --------- | ------------------------------------------------------------------ | -------------------------------------------------------------------------------- | ----------- | | 33 kb | 0.50mb | 1.29mb | - | | 330 kb | 6.79mb | 2.16mb | 3.14x | | 3.3 mb | 77.94mb | 12.35mb | 6.3x | | 33 mb | 498.12mb | 112.62mb | 4.42x | | 100mb | 1446.14mb | 338.11mb | 4.28x | | 150mb | 2003.53mb | 506.54mb | 3.96x | | 200mb | 2660.09mb | 674.83mb | 3.94x |

The larger the string the faster it gets. Memory usage is approximately 3x than the input data size.

Set TEXT_SIZE variable value you want in the test.sh script and run the following command to test memory usage:

yarn benchmark:memory

See Also

Publish

$ git checkout master
$ yarn version
$ yarn publish
$ git push origin master --tags

License

MIT © Shelf