What CMS » Ruby on Rails



Ruby on Rails | A web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

rubyonrails.org



Market Share By Site Popularity

Alexa RankCMS RankMarket Share
Most Popular Sites < 1,000#310.94%
Very Popular Sites < 10,000#38.411%
Popular Sites < 100,000#43.617%
Less Popular Sites < 1,000,000#81.500%
All Sites#140.687%

Market Share History

This chart shows the history of detected websites using Ruby on Rails

Languages

Websites using Ruby on Rails were written in the following languages:


LanguagePercent
English (en)74.07%
German (de)4.328%
Spanish (es)3.304%
French (fr)3.146%
Russian (ru)2.487%
Japanese (ja)2.231%
Portuguese (pt)1.780%
Polish (pl)1.158%
Italian (it)1.134%
Dutch (nl)1.000%
Swedish (sv)0.719%
Chinese (zh)0.634%
Danish (da)0.475%
Greek (modern) (el)0.317%
Czech (cs)0.317%
Arabic (ar)0.305%
Finnish (fi)0.256%
Romanian (ro)0.256%
Turkish (tr)0.232%
Ukrainian (uk)0.158%
Hungarian (hu)0.158%
Norwegian (no)0.146%
Indonesian (id)0.134%
Korean (ko)0.134%
Croatian (hr)0.122%
Norwegian Bokmål (nb)0.122%
Catalan (ca)0.110%
Thai (th)0.098%
Persian (Farsi) (fa)0.085%
Latvian (lv)0.073%
Hebrew (modern) (he)0.073%
Slovak (sk)0.061%
Azerbaijani (az)0.049%
Twi (tw)0.037%
Bulgarian (bg)0.037%
Serbian (sr)0.037%
Slovene (sl)0.037%
Estonian (et)0.037%
Lithuanian (lt)0.024%
Vietnamese (vi)0.024%
Georgian (ka)0.012%
Basque (eu)0.012%
Welsh (cy)0.012%
Northern Sami (se)0.012%
Khmer (km)0.012%
Icelandic (is)0.012%
Norwegian Nynorsk (nn)0.012%
Malay (ms)0.012%

Popular Sites Using Ruby on Rails

We detected the following sites were using Ruby on Rails


twitter.com


bukalapak.com


goodreads.com


academia.edu


artstation.com


archiveofourown.org


How We Detect Installations of Ruby on Rails

Headers

HTTP headers, including cookies, can be used in same situations to identify a CMS.

Markup

If a CMS doesn't have meta tags, it will often have other uniquely identifiable html markup. This can range from unique html comments, ids or classes.


Let us know if you have any suggestions on how we can better detect Ruby on Rails installations

Compare Ruby on Rails



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