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

numberify-text

v1.0.5

Published

A library to convert text numbers to their numeric equivalents.

Downloads

6

Readme

Numberify-Text

Numberify Text is a JavaScript library that converts numbers written in text form to their numeric equivalents in various languages.

Installation

npm install numberify-text

Usage

import { numberifyText } from 'numberify-text';

Then you can use the numberifyText method to convert the numbers written in text inside a string to their numeric equivalents.

const sentence = "I have three apples and four oranges in ten boxes";
const result = numberifyText(sentence, 'en');

console.log(result); // Output: "I have 3 apples and 4 oranges in 10 boxes"

This library can handle numbers up to the billions, making it versatile for various applications.

const sentence = "there are three cats in two million seven hundred fifty thousand thirty-two houses";
const result = numberifyText(sentence, 'en');

console.log(result); // Output: "there are 3 cats in 2750032 houses"

Supported Languages

  • English (en)
  • Spanish (es)

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Creator

  • Xavi Ramon XaviRN (https://github.com/xavirn89)

License

[MIT]