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

jst9

v0.4.0

Published

A text-prediction JavaScript tool based on PATRICIA tree

Downloads

536

Readme

jsT9

Build Status Code Climate

Installation

With npm

  $ npm install jst9 --save

With Bower

  $ bower install jst9 --save

Or copy some of the files inside dist folder. On browsers, it exports the jsT9 global.

Usage

To create a new jsT9 instance, you show use the constructor like this:

  var tree = new jsT9(words[, settings]);

Where:

  • words can be:
    • An array of words, or
    • A string with the path of a JSON file with a field called 'words' containing the array of words (see the words.json example file). See ready method on the API below.
  • settings (optional)
    • sort: A sort(A, B) (Default: Alphabetical order) function that returns:
      • -1 if A < B
      • 1 if A > B
      • 0 if A == B
    • maxAmount: Default max amount of predictions to be returned (Default: Infinity).
    • slackSearch: Search words using slack search (Default: true).

API

  • predict(word): Return the predictions to the given word.
  • addWord(word): Add an new word to the tree.
  • ready(callback): Runs the callback when the tree is ready, useful when you're loading the words with JSON.

How slack search works

If no complete word in the tree matches the searched word, the slack search will remove the last character of the word, one by one, until it finds a match.

Example:

Given this word list:

  • List
  • Look
  • Loop

If you try predict Loo, you'll get ["Look", "Loop"].

But if you try predict Lx, the algorithm won't find a match, so it will remove the "x" and try to predict L, then you'll get ["List", "Look", "Loop"].