Modernizr vs ConvNetJS: What are the differences?

Developers describe Modernizr as "Respond to your user’s browser features". It’s a collection of superfast tests or detects as we like to call them which run as your web page loads, then you can use the results to tailor the experience to the user. It tells you what HTML, CSS and JavaScript features the user’s browser has to offer. On the other hand, ConvNetJS is detailed as "Deep Learning in your browser". It is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.

Modernizr and ConvNetJS are primarily classified as "JavaScript Compilers" and "Javascript Utilities & Libraries" tools respectively.

Some of the features offered by Modernizr are:

• Easy to deliver tiered experiences
• Make use of the latest and greatest features in browsers
• Without leaving less fortunate users high and dry.

On the other hand, ConvNetJS provides the following key features:

• Formulate and solve Neural Networks in Javascript
• Training Deep Learning models (Neural Networks) entirely in your browser
• No compilers, No installations

Modernizr and ConvNetJS are both open source tools. It seems that Modernizr with 24K GitHub stars and 3.03K forks on GitHub has more adoption than ConvNetJS with 9.8K GitHub stars and 1.95K GitHub forks.