Slim vs. Grape vs. Colossus

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Slim

Grape

Colossus

Favorites

16

Favorites

6

Favorites

1

Hacker News, Reddit, Stack Overflow Stats

  • 7
  • 102
  • 2.33K
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  • 23
  • 381
  • -
  • 16
  • 4

GitHub Stats

Description

What is Slim?

Slim is easy to use for both beginners and professionals. Slim favors cleanliness over terseness and common cases over edge cases. Its interface is simple, intuitive, and extensively documented — both online and in the code itself.

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.

What is Colossus?

Colossus is a lightweight framework for building high-performance applications in Scala that require non-blocking network I/O. In particular Colossus is focused on low-latency stateless microservices where often the service is little more than an abstraction over a database and/or cache. For this use case, Colossus aims to maximize performance while keeping the interface clean and concise.

Pros about this tool

Pros
Why do you like Slim?

Pros
Why do you like Grape?

Pros
Why do you like Colossus?

Cons about this tool

Cons
No Cons submitted yet for Slim
Cons
Cons
No Cons submitted yet for Colossus
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Companies

26 Companies Using Slim
10 Companies Using Grape
1 Companies Using Colossus

Integrations

Slim Integrations
Grape Integrations
Colossus Integrations

What are some alternatives to Slim, Grape, and Colossus?

  • ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
  • Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
  • Django REST framework - Web APIs for Django
  • Sinatra - Classy web-development dressed in a DSL

See all alternatives to Slim



Interest Over Time


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