User agent detail

MQQBrowser/36 Mozilla/5.0 (iPhone 4S; CPU iPhone OS 5_1_1 like Mac OS X) AppleWebKit/534.46 (KHTML, like Gecko) Mobile/9B206 Safari/7534.48.3
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-539.php
QQbrowser 0.0WebKit unknowniOS 5.1AppleiPhoneMobile Phoneyesyes0 Detail
Providers
BrowscapFull
6014
QQbrowser WebKit iOS 5.1AppleiPhoneMobile Phoneyesyes0.011 Detail
BrowscapLite
6014
Mobile Safari UIWebView closeiOS closecloseMobile Phoneyescloseclosecloseclose0.022 Detail
BrowscapPhp
6014
QQbrowser closeiOS closecloseMobile Deviceyesyesclose0.019 Detail
DonatjUAParser
v0.5.1
Safari 7534.48.3closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 7534.48.3closeiOS 5_1_1closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

QQbrowser 36closeiOS 5.1.1SonyEricssonST25imobile-browseryescloseclose0.20101 Detail
PiwikDeviceDetector
3.6.1
QQ Browser 36WebKit iOS 5.1AppleiPhone 4Ssmartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
Safari closeiOS 5.1.1closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
QQ Browser Mobile 36closeiOS 5.1.1closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 7534.48.3WebKit 534.46closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Safari closeiPhone OS 5.1.1closecloseclosecloseclose0.10901 Detail
WhatIsMyBrowserCom

QQ Browser 36WebKit 534.46iOS 5.1.1AppleiPhonecloseclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
QQ Browser 3.6Webkit 534.46iOS 5.1.1AppleiPhone 4Smobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Mobile Safari closeiOS AppleiPhoneSmartphoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
MQQBrowser 36closeiOS 5.1.1AppleiPhonecloseclosecloseclosecloseclose0.001 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 08:12:22 | by ThaDafinser