User agent detail

Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_4; ha) AppleWebKit/534.13 (KHTML, like Gecko) RockMelt/0.445.436.1326 Chrome/12.0.632.107 Safari/534.13
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Zsxsoft
1.3
vendor/zsxsoft/php-useragent/tests/UserAgentList.php
RockMelt 0.445.436.1326closeMac OS X 10.6.4 closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
RockMelt WebKit MacOSX 10.6AppleMacintoshDesktop0.08701 Detail
BrowscapLite
6014
Safari closeMacOSX closecloseDesktopcloseclosecloseclose0.009 Detail
BrowscapPhp
6014
RockMelt closeMacOSX closecloseDesktopclose0.048 Detail
DonatjUAParser
v0.5.1
Chrome 12.0.632.107closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 12.0.632.107closeOS X 10_6_4closecloseclosecloseclose0.003 Detail
NeutrinoApiCom

RockMelt 0.445.436.1326closeOS X 10.6.4desktop-browsercloseclose0.20301 Detail
PiwikDeviceDetector
3.6.1
RockMelt 0.445WebKit Mac 10.6desktop0.006 Detail
SinergiBrowserDetector
6.0.1
Chrome 12.0.632.107closeOS X 10.6.4closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
RockMelt 0.445.436closeMac OS X 10.6.4closeclosecloseclose0.009 Detail
UserAgentApiCom

Chrome 12.0.632.107WebKit 534.13closeclosecloseDesktopclosecloseclose0.15001 Detail
UserAgentStringCom

RockMelt 0.445.436.1326closeOS X 10.6.4closecloseclosecloseclose0.068 Detail
WhatIsMyBrowserCom

RockMelt 0.445.436.1326WebKit 534.13Mac OS X 10.6.4closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
RockMelt 0.445Webkit 534.13Mac OS X 10.6desktopcloseclose0.004 Detail
Woothee
v1.2.0
Chrome 12.0.632.107closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 12.0.632.107closeMac OS X 10.6.4Desktopcloseclose0.021 Detail
Zsxsoft
1.3
RockMelt 0.445.436.1326closeMac OS X 10.6.4 closeclosecloseclosecloseclose0 Detail

About this comparison

The primary goal of this project is simple
I wanted to know which user agent parser is the most accurate in each part - device detection, bot detection and so on...

The secondary goal is to provide a source for all user agent parsers to improve their detection based on this results.

You can also improve this further, by suggesting ideas at ThaDafinser/UserAgentParserComparison

The comparison is based on the abstraction by ThaDafinser/UserAgentParser
Comparison created 2016-05-10 07:58:48 | by ThaDafinser