CoffeeScript vs. JSON vs. Python vs. restify Comparison Chart

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.

A Node.js web service framework optimized for building semantically correct RESTful web services ready for production use at scale. restify optimizes for introspection and performance and is used in some of the largest Node.js deployments on Earth. Running at scale requires tracing problems back to their origin by separating noise from the signal. restify is built from the ground up with post-mortem debugging in mind. Staying true to the spec is one of the foremost goals of the project. You will see references to RFCs littered throughout GitHub issues and the codebase. restify is used by some of the industry's most respected companies to power some of the largest deployments of Node.js on planet Earth—the future of Node.js REST development. Setting up a server is quick and easy. Like many other Node. js-based REST frameworks, restify leverages a Sinatra-style syntax for defining routes and the function handlers that service those routes.