User agent detail

Mozilla/5.0 (iPad; U; CPU OS 5_1 like Mac OS X) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B367 Safari/531.21.10 UCBrowser/3.4.3.532
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-920.php
UC Browser 3.4WebKit unknowniOS 5.1AppleiPadTabletyesyes0 Detail
Providers
BrowscapFull
6014
UC Browser 3.4WebKit iOS 5.1AppleiPadTabletyesyes0.012 Detail
BrowscapLite
6014
Safari closeiOS closecloseTabletyescloseclosecloseclose0.009 Detail
BrowscapPhp
6014
UC Browser 3.4closeiOS closecloseTabletyesyesclose0.017 Detail
DonatjUAParser
v0.5.1
Safari 4.0.4closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0.4closeiOS 5_1closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Mobile Safari 4.0.4closeiOS 5.1AppleiPadmobile-browseryescloseclose0.23001 Detail
PiwikDeviceDetector
3.6.1
UC Browser 3.4WebKit iOS 5.1AppleiPadtabletyes0.004 Detail
SinergiBrowserDetector
6.0.1
Safari 4.0.4closeiOS 5.1closeiPadcloseyesclosecloseclose0 Detail
UAParser
v3.4.5
UC Browser 3.4.3closeiOS 5.1AppleiPadcloseclosecloseclose0.004 Detail
UserAgentApiCom

Safari 531.21.10WebKit 531.21.10closeclosecloseTabletclosecloseclose0.15001 Detail
UserAgentStringCom

Safari 4.0.4closeiPhone OS 5.1closecloseclosecloseclose0.06 Detail
WhatIsMyBrowserCom

UC Browser 3.4.3.532WebKit 531.21.10iOS 5.1AppleiPadcloseclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
UC Browser 3.4Webkit 531.21.10iOS 5.1AppleiPadtabletyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 4.0.4closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
UC Browser on iOS 3.4.3closeiOS 5.1AppleiPadTabletyesyescloseclose0.02 Detail
Zsxsoft
1.3
UC Browser 3.4.3.532closeiOS 5.1AppleiPadcloseclosecloseclosecloseclose0.001 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 08:07:08 | by ThaDafinser