User agent detail

Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_3; HTC_SensationXE_Beats_Z715e; en-lu) AppleWebKit/533.16 (KHTML, like Gecko) Version/5.0 Safari/533.16
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close HTCSensationXE Beats Z715eclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Safari 5.0WebKit MacOSX 10.6AppleMacintoshDesktop0.075 Detail
BrowscapLite
6014
Safari closeMacOSX closecloseDesktopcloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Safari 5.0closeMacOSX closecloseDesktopclose0.027 Detail
DonatjUAParser
v0.5.1
Safari 5.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 5.0closeOS X 10_6_3closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Safari 5.0closeOS X 10.6.3HTCSensationXE Beats Z715edesktop-browsercloseclose0.21901 Detail
PiwikDeviceDetector
3.6.1
Safari 5.0WebKit Mac 10.6HTCSensationXE Beats Z715esmartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.1
Safari 5.0closeOS X 10.6.3closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Safari 5.0closeMac OS X 10.6.3HTCSensationXE Beats Z715ecloseclosecloseclose0.003 Detail
UserAgentApiCom

Safari 533.16WebKit 533.16closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Safari 5.0closeOS X 10.6.3closecloseclosecloseclose0.09001 Detail
WhatIsMyBrowserCom

Safari 5.0WebKit 533.16Mac OS X 10.6.3closeclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
Webkit Android HTCSensationXE Beats Z715emobile:smartyescloseclose0.004 Detail
Woothee
v1.2.0
Safari 5.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Safari 5.0closeMac OS X 10.6.3HTCFeature Phoneyesyescloseclose0.021 Detail
Zsxsoft
1.3
Safari 5.0closeMac OS X 10.6.3 HTCSensationXEcloseclosecloseclosecloseclose0.001 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 08:11:49 | by ThaDafinser