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

nilod

v0.1.3

Published

Node.JS Interactive Lines of Dialog. Talk with Node.JS, expose its feelings and secrets... and whatever nonsensical sentences it markovily generates.

Downloads

3

Readme

NILOD

Node.js Interactive Lines Of Dialog

A lightweight chatbot library for Node.js, inspired by Python 3's COBE 2 chatbot, which supports JSON importing and exporting, and unsupervised, peer-assisted machine learning to help select the best output sentences.

The project is under the MIT license; for more information, please see the LICENSE file.

How to Use

It's reasonably simple to make use of this library. This snippet tersely shows the many features from the library:

const NILOD = require('nilod')

let model = new NILOD('myDatabase.sqlite');

// for example purposes, I'll define a simple function to help
// print our model's output :)
function printSentence(res) {
    console.log(`(${res.outputWords.length}) ${res.output}`);
}

model.train([
    'Hello, oh beautiful world I have come upon... here, rise flowers, the world spins and rotates beneath my little-dwinkle tiptoesome feet!',
    'Bequeath me thy burden, and I\'ll engrave on thee my sweetness.'
]);

// Let's quickly generate one sentence, without the whole selection process.
let res = model.tryOnce();
printSentence(res);

// Hey, I like that sentence!
// Let's give it a good rating.
res.applyRating(5);

// Ratings will help our model learn to generate better results,
// when you use the fancy 'generate' function, which generates
// a bunch of sentences, and selects the best one using past ratings.

// In this case, let's use 30 samples (candidates to selection).
let best = model.generate(30).best;
printSentence(best.attempt);