Displaying 1 to 20 from 73 results

np - A better `npm publish`

Support my open source work by buying this excellent Node.js course.Run np without arguments to launch the interactive UI that guides you through publishing a new version.

angular-translate - Translating your AngularJS 1.x apps

This is the repository for angular-translate.angular-translate is a JavaScript translation library for AngularJS 1.x app.

modern-normalize - Normalize browsers' default style

All credit should go to normalize.css. I just removed some cruft and added some improvements. If you have questions about the source, check out the original source and this for details. The goal of this project is to make itself obsolete.


A small JavaScript library to generate YouTube-like ids from numbers. Use it when you don't want to expose your database ids to the user.

tablesaw - A group of plugins for responsive tables.

A set of plugins for responsive tables. The Stack Table stacks the table headers to a two column layout with headers on the left when the viewport width is less than 40em (640px).

Netlify CMS - A CMS for Static Site Generators

A CMS for static site generators. Give non-technical users a simple way to edit and add content to any site built with a static site generator.Netlify CMS is a single-page app that you pull into the /admin part of your site.


🔬 A JavaScript interpretation of the Ruby library Scientist, a library for carefully refactoring critical paths.Let's pretend you're changing the way you handle permissions in a large web app. Tests can help guide your refactoring, but you really want to capture the current and refactored behaviours under load.

node-tensorflow - Node.js + TensorFlow

TensorFlow is Google's machine learning runtime. It is implemented as C++ runtime, along with Python framework to support building a variety of models, especially neural networks for deep learning. It is interesting to be able to use TensorFlow in a node.js application using just JavaScript (or TypeScript if that's your preference). However, the Python functionality is vast (several ops, estimator implementations etc.) and continually expanding. Instead, it would be more practical to consider building Graphs and training models in Python, and then consuming those for runtime use-cases (like prediction or inference) in a pure node.js and Python-free deployment. This is what this node module enables.

node-loadbalance - A collection of distilled load balancing engines

This is a collection of load balancing engines in (what is hopefully) their most distilled form.The goal was to create a highly reusable implementation that imposes as little as possible on the user.