What CMS » DataLife Engine



DataLife Engine (DLE) - content management system. Official site.

dle-news.ru



Market Share By Site Popularity

Alexa RankCMS RankMarket Share
Most Popular Sites < 1,000#480.791%
Very Popular Sites < 10,000#201.410%
Popular Sites < 100,000#72.141%
Less Popular Sites < 1,000,000#230.382%
All Sites#230.382%

Market Share History

This chart shows the history of detected websites using DataLife Engine.  
In the last 6 months, market share has increased 1.33% from 0.377% to 0.382%


CMS Versions: Major

Percentage of detected CMS versions

Major VersionPercent
Version 93.279%
Version 1322.95%
Version 1221.31%
Version 118.197%
Version 1044.26%

CMS Versions: Minor


Minor VersionPercent
Version 9.83.279%
Version 13.122.95%
Version 12.021.31%
Version 11.08.197%
Version 10.63.279%
Version 10.54.918%
Version 10.419.67%
Version 10.33.279%
Version 10.26.557%
Version 10.06.557%

Top Level Domains

Websites using DataLife Engine were found on 100 top level domains

Top Level DomainsPercent
Russia (.ru)27.76%
Commercial (.com)19.05%
Network (.net)12.13%
Ukraine (.ua)6.167%
Organization (.org)5.146%
Info (.info)3.567%
Club (.club)1.943%
Online (.online)1.907%
Azerbaijan (.az)1.688%
Iran (.ir)1.551%
Montenegro (.me)1.505%
Soviet Union (.su)1.469%
Tuvalu (.tv)1.405%
Kazakhstan (.kz)1.323%
Biz (.biz)0.949%
Georgia (.ge)0.912%
Pro (.pro)0.903%
Columbia (.co)0.839%
Uzbekistan (.uz)0.748%
Belarus (.by)0.739%
Cocos (Keeling) Islands (.cc)0.712%
XYZ (.xyz)0.693%
Top (.top)0.620%
Russia (Cyrillic) (.рф)0.602%
Site (.site)0.575%
Samoa (.ws)0.429%
Palau (.pw)0.283%
European Union (.eu)0.274%
India (.in)0.265%
Mobi (.mobi)0.246%
Tajikistan (.tj)0.210%
Moldova (.md)0.192%
Pitcairn Islands (.pl)0.182%
United States of America (.us)0.182%
Live (.live)0.164%
Lithuania (.lt)0.155%
Germany (.de)0.146%
Kyrgyzstan (.kg)0.128%
Life (.life)0.128%
Tonga (.to)0.119%
Space (.space)0.100%
Federated States of Micronesia (.fm)0.091%
News (.news)0.091%
Romania (.ro)0.091%
Today (.today)0.082%
One (.one)0.082%
Website (.website)0.082%
Mongolia (.mn)0.073%
Media (.media)0.064%
France (.fr)0.064%
Turkey (.tr)0.064%
Mali (.ml)0.064%
Armenia (.am)0.055%
Store (.store)0.055%
Latvia (.lv)0.046%
United Kingdom (.uk)0.046%
Asia (.asia)0.046%
Czech Republic (.cz)0.046%
Estonia (.ee)0.046%
Central African Republic (.cf)0.046%
Spain (.es)0.036%
British Indian Ocean Territory (.io)0.036%
Belgium (.be)0.036%
XXX (.xxx)0.036%
Tech (.tech)0.036%
Israel (.il)0.036%
Albania (.al)0.027%
Tokelau (.tk)0.027%
Italy (.it)0.027%
Sweden (.se)0.018%
Ecuador (.ec)0.018%
Canada (.ca)0.018%
Vietnam (.vn)0.018%
Win (.win)0.018%
Iceland (.is)0.018%
Mexico (.mx)0.018%
Switzerland (.ch)0.018%
Gabon (.ga)0.009%
Ethiopia (.et)0.009%
Cayman Islands (.ky)0.009%
Chile (.cl)0.009%
Wallis and Futuna Islands (.wf)0.009%
Christmas Island (.cx)0.009%
Antigua and Barbuda (.ag)0.009%
Austria (.at)0.009%
Shop (.shop)0.009%
Bulgaria (.bg)0.009%
Australia (.au)0.009%
Government (.gov)0.009%
Saint Vincent and the Grenadines (.vc)0.009%
Laos (.la)0.009%
Liechtenstein (.li)0.009%
Sri Lanka (.lk)0.009%
Kuwait (.kw)0.009%
Brazil (.br)0.009%
Réunion (.re)0.009%
Niue (.nu)0.009%
Guernsey (.gg)0.009%
Education (.edu)0.009%
Blog (.blog)0.009%

Popular Sites Using DataLife Engine

We detected the following sites were using DataLife Engine


rezka.ag


kinokrad.co


kinogo.by


soft98.ir


1plus1tv.ru


baskino.me


How We Detect Installations of DataLife Engine

Meta

A CMS will sometimes include a meta tag within the html of each page. This is usually a "generator" tag like <meta name="generator" content="What CMS" /> but could also be "application-name", "Powered-By" or anyting else the CMS creators decide to use.

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.

Javascript

Similar to identifiable html markup, a CMS will sometimes insert unique Javascript code into web pages.


Let us know if you have any suggestions on how we can better detect DataLife Engine installations

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