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Digital Platform for Enterprises | PIM | DAM | CMS/UX | eCommerce

pimcore.org



Market Share By Site Popularity

Alexa RankCMS RankMarket Share
Most Popular Sites < 1,000#1210.109%
Very Popular Sites < 10,000#1120.058%
Popular Sites < 100,000#1130.046%
Less Popular Sites < 1,000,000#980.054%
All Sites#980.052%

Market Share History

This chart shows the history of detected websites using Pimcore

Languages

Websites using Pimcore were written in the following languages:


LanguagePercent
German (de)43.37%
English (en)35.00%
French (fr)4.070%
Dutch (nl)3.023%
Polish (pl)2.326%
Italian (it)2.209%
Czech (cs)1.628%
Swedish (sv)1.395%
Chinese (zh)0.814%
Spanish (es)0.581%
Slovene (sl)0.581%
Russian (ru)0.581%
Danish (da)0.465%
Norwegian Bokmål (nb)0.465%
Greek (modern) (el)0.349%
Slovak (sk)0.349%
Indonesian (id)0.349%
Portuguese (pt)0.349%
Romanian (ro)0.233%
Bosnian (bs)0.233%
Hungarian (hu)0.233%
Norwegian (no)0.116%
Catalan (ca)0.116%
Japanese (ja)0.116%
Belarusian (be)0.116%
Northern Sami (se)0.116%
Finnish (fi)0.116%
Estonian (et)0.116%
Serbian (sr)0.116%
Bulgarian (bg)0.116%
Ukrainian (uk)0.116%
Vietnamese (vi)0.116%
Arabic (ar)0.116%

Popular Sites Using Pimcore

We detected the following sites were using Pimcore


bmw.co.uk


ginatricot.com


zend.com


gsport.no


speak-up.pl


maxbo.no


How We Detect Installations of Pimcore

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 Pimcore installations

Compare Pimcore



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