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...Any third-party dependencies for scripts need the addition of your package.json otherwise, a lot of errors will be thrown during the startup of your hubot. You can find a list of dependencies for a script in the documentation header at the top of the script. The best way is to take a look at an existing script and see how things are set up. Hubot scripts are written in CoffeeScript, a higher-level implementation of JavaScript.

...The library focuses on visual quality, producing anti-aliased, blur-free gradients that look good at various zoom levels and resolutions. It fits well into data-viz stacks where you need a responsive heat layer on top of maps, charts, or custom canvases, and it is compact enough to embed in dashboards and demos without heavy dependencies.

Hallo is a straightforward, in-place WYSIWYG rich-text editor plugin for web pages using jQuery UI and the HTML5 contentEditable attribute. We use the Travis continuous integration service for testing Hallo. When Hallo is loaded it will also load all the enabled plugins for the element, and pass them some additional options. Unique identifier of the Hallo instance, can be used for element IDs.

Morris.js is a JavaScript charting library designed to render “pretty time‑series” graphs. It offers a very simple API for building line, bar, area, and donut charts, making it easy to add visually appealing charts to web pages. It is built on top of jQuery and Raphael.js. You'll need Node.js. I recommend using nvm for installing Node in development environments. Additionally, Bower is required for retrieving additional test dependencies. With node installed, install grunt using npm install -g grunt-cli, and then the rest of the test/build dependencies with npm install in the morris.js project folder.

Graphene is a real-time dashboard and graphing toolkit built with D3.js and Backbone.js. It was originally designed to sit on top of the Graphite data model and API, enabling teams to quickly build live dashboards that show thousands of datapoints updating over time. The project provides a highly customizable and hackable client-side engine: you define “widgets” such as time series graphs, gauges or labels, hook them to data providers, and the toolkit handles ingestion, rendering and live updates. ...