What is Grape?
Grape is a REST-like API micro-framework for Ruby. It's designed to run on Rack or complement existing web application frameworks such as Rails and Sinatra by providing a simple DSL to easily develop RESTful APIs. It has built-in support for common conventions, including multiple formats, subdomain/prefix restriction, content negotiation, versioning and much more.
Grape is a tool in the Microframeworks (Backend) category of a tech stack.
Grape is an open source tool with GitHub stars and GitHub forks. Here’s a link to Grape's open source repository on GitHub
Who uses Grape?
Companies
16 companies reportedly use Grape in their tech stacks, including Fiverr, Badi, and Beachy.
Developers
88 developers on StackShare have stated that they use Grape.
Pros of Grape
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Grape Alternatives & Comparisons
What are some alternatives to Grape?
Red
It is both an imperative and functional programming language. Its syntax and general usage overlaps that of the interpreted Rebol language.
Rails API
Rails::API is a subset of a normal Rails application, created for applications that don't require all functionality that a complete Rails application provides. It is a bit more lightweight, and consequently a bit faster than a normal Rails application. The main example for its usage is in API applications only, where you usually don't need the entire Rails middleware stack nor template generation.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Node.js
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
