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

markov-text-gen

v4.0.2

Published

A simple library to generate random text using a Markov chain.

Downloads

4

Readme

markov-text-gen

A simple library to generate random text using a Markov chain.

Description

markov-text-gen generates a random sentence based on a the source text provided.

It provides two ways to create random text by exposing a build function that gets passed the text to be ingested, the desired nGram size, and boolean flag to build byChars. The build function creates a Markov Chain based on source text and the nGram size passed, and returns a run function that is passed the number of times run should loop for before returning; the default for generating text via characters is 1000, for words the default is 50. The return value is a randomly generated string`.

Example

import text from './text';
import build from 'markov-text-gen';

build(text, 3, false) // The text to be ingested, the nGram size, and whether to build byChars
  .then((run) => {
    const result = run(35);
    console.log(result);
  });

Inspiration

The Coding Train YouTube

The Coding Train GitHub

Markov Chains Explained Visually

TODO

In no particular order: tests, linting, general clean-up of code.