User agent detail

MQQBrowser/39 Mozilla/5.0 (iPhone 4S; CPU iPhone OS 6_0_1 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Mobile/10A523 Safari/7534.48.3
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_ua.yaml
QQ Browser Mobile 39close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
QQbrowser WebKit iOS AppleiPhoneMobile Phoneyesyes0.008 Detail
BrowscapLite
6014
Mobile Safari UIWebView closeiOS closecloseMobile Phoneyescloseclosecloseclose0.022 Detail
BrowscapPhp
6014
QQbrowser closeiOS closecloseMobile Deviceyesyesclose0.015 Detail
DonatjUAParser
v0.5.1
Safari 7534.48.3closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 7534.48.3closeiOS 6_0_1closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

QQbrowser 39closeiOS 6.0.1SonyEricssonST25imobile-browseryescloseclose0.20201 Detail
PiwikDeviceDetector
3.6.1
QQ Browser 39WebKit iOS 6.0AppleiPhone 4Ssmartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
Safari closeiOS 6.0.1closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
QQ Browser Mobile 39closeiOS 6.0.1closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 7534.48.3WebKit 536.26closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Safari closeiPhone OS 6.0.1closecloseclosecloseclose0.082 Detail
WhatIsMyBrowserCom

QQ Browser 39WebKit 536.26iOS 6.0.1AppleiPhonecloseclosecloseclosecloseclose0.28902 Detail
WhichBrowser
v2.0.18
QQ Browser 3.9Webkit 536.26iOS 6.0.1AppleiPhone 4Smobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Safari closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Mobile Safari closeiOS AppleiPhoneSmartphoneyesyescloseclose0.021 Detail
Zsxsoft
1.3
MQQBrowser 39closeiOS 6.0.1AppleiPhonecloseclosecloseclosecloseclose0 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 08:03:58 | by ThaDafinser