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

product-demo

v0.2.2

Published

Demo application for the NPM module Product-Recommender

Downloads

3

Readme

Product-Demo

Demo application for the Product-Recommender NPM module. To learn more about Product-Recommender, please visit Product-Recommender's npm profile. Code in the index.js file demonstrates how Product-Recommender can be used in practice. If Product-Demo was downloaded by npm, Product-Recommender should already have been installed in the node_modules folder as a dependency of Product-Demo. But if Product-Demo was installed outside of npm, Product-Recommender will need to be installed.

npm install product-recommender

With Product-Recommender loaded, now you can see Product-Recommender in action. To run this demo, use the node command on the file index.js

node index.js

The analysis will now begin executing. Included in this project is a matrix of faux data that will be used for this demo, which is contained in matrix.txt. A string referencing the file directory of our matrix will be passed to Product-Recommender, which will read the data from that file and enter it into the algorithm. When the algorithm has concluded executing, various analytics methods will be run. The results will be logged to the terminal tab that is running the node script. Not all methods from Product-Recommender will be run in this demo, but other methods can be easily added to Product-Demo by following the provided format. All documentation for the analytics methods run in Product-Demo are contained in the Product-Recommender ReadMe on github.

A mocha test suite for Product-Recommender is included in this demo application. To run the mocha test suite, enter the command npm test.

npm test