Websites Using Ruby on Rails

Ruby on Rails is a server-side web application framework written in Ruby that follows the model-view-controller (MVC) pattern and emphasizes convention over configuration. It is one of the most popular frameworks for rapid web application development with built-in tools for database management, routing, and testing.

Categories: Web framework

Official website: https://rubyonrails.org

5986 websites using Ruby on Rails

Ruby on Rails is ranked #4 of 144 in Web framework by website adoption.

Web framework alternatives ranked by popularity

Next.js — 22,800 websites
Microsoft ASP.NET — 14,610 websites
Dash — 11,678 websites
Nuxt.js — 5,333 websites
Laravel — 3,580 websites
Spring Boot — 3,198 websites
Grails — 3,162 websites
Express — 3,079 websites
Panel — 2,827 websites
CodeIgniter — 1,647 websites

Technologies commonly used with Ruby on Rails

Ruby — 100% co-occurrence
Open Graph — 68% co-occurrence
HSTS — 53% co-occurrence
Google Analytics — 45% co-occurrence
Cloudflare — 45% co-occurrence
Google Tag Manager — 43% co-occurrence
Schema.org — 39% co-occurrence
PWA — 39% co-occurrence

How WhatStack detects Ruby on Rails

WhatStack detects Ruby on Rails by analyzing HTTP headers, HTML source code, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries using signature-based pattern matching across 10 different analyzers.

Frequently Asked Questions

What is Ruby on Rails?: Ruby on Rails is a server-side web application framework written in Ruby that follows the model-view-controller (MVC) pattern and emphasizes convention over configuration. It is one of the most popular frameworks for rapid web application development with built-in tools for database management, routing, and testing.
How many websites use Ruby on Rails?: WhatStack has detected Ruby on Rails on 5986 websites in our database.
How do you detect Ruby on Rails?: We analyze HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to identify Ruby on Rails with high accuracy using signature-based pattern matching.