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

font-previews

v1.0.0

Published

Preview images of Google Fonts, for use in font pickers, etc.

Downloads

5

Readme

Font Previews

Preview images of Google Fonts, for use in font pickers, etc.

Output Files

The output/google-fonts.json file contains metadata for the normal style/weight of all the fonts:

{
  "name": "ABeeZee",
  "category": "Sans Serif",
  "popularity": 175,
  "trending": 657,
  "dateAdded": "2012-09-30",
  "img": "abeezee-normal-400.webp",
  "base64": "UklGRqQCAABXRUJQ..."
}

The output/google-fonts-all-styles.json file contains metadata for every style/weight of every font:

{
  "name": "ABeeZee",
  "category": "Sans Serif",
  "popularity": 175,
  "trending": 657,
  "dateAdded": "2012-09-30",
  "styles": [
    {
      "img": "abeezee-normal-400.webp",
      "type": "normal",
      "weight": 400,
      "img": "abeezee-normal-400.webp",
      "base64": "UklGRqQCAABXRUJQ..."
    },
    {
      "img": "abeezee-italic-400.webp",
      "type": "italic",
      "weight": 400,
      "base64": "UklGRqQCAABXRUJQ..."
    }
  ]
}

Each font references the webp image name, and also includes the base64 encoded image data.

How the images were generated

  1. The entire Google Font data was downloaded from here.
  2. The METADATA.pb files for each font was parsed.
  3. Using puppeteer, an HTML page was rendered for each font, displaying the font name in that font. The HTML page was then captured as a screenshot.
  4. The screenshot was saved as both a webp image and a base64 encoded string.
  5. The font list was written to a JSON file, which included the base64 encoded image data, and references the name of the webp image.

How to use the data

It is recommended that you filter and/or condense the data to reduce the file size. For example, you will want to choose to either the webp or base64 image data, and remove the other. You probably also want to remove the extra metadata that is not needed for your use case.

You can create a nodejs script in your project that imports the data, and modifies it:

import fontList from 'font-previews/output/google-fonts.json' assert {type: 'json'};
import fs from 'node:fs';

// sort by popularity
const sorted = fontList.sort((a, b) => {
  return a.popularity - b.popularity;
});

// only include data we need
const newData = sorted.map(font => {
  return [
    font.name,
    font.category,
    font.base64
  ];
});

fs.writeFileSync('newData.json', JSON.stringify(newData));