User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.1; zh-cn; DOOV S1 Build/DOOVS1) AppleWebKit/533.1 (KHTML, like Gecko)Version/4.0 MQQBrowser/5.4 TBS/025442 Mobile Safari/533.1 V1_AND_SQ_5.7.2_260_YYB_D QQ/5.7.2.2490 NetType/WIFI WebP/0.3.0

Detected by 8 of 8 providers
As bot detected by 0 of 7

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Android 4.0WebKit Android 4.2Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
QQ Browser 5.4WebKit Android 4.2DoovS1smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 4.2.1closecloseyesclosecloseclose Detail
UAParser
v3.4.5
QQ Browser Mobile 5.4closeAndroid 4.2.1DOOVS1closeclosecloseclose Detail
WhichBrowser
2.0.9
QQ Browser 5.7Webkit 533.1Android 4.2.1DOOVS1mobile:smartyescloseclose Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Android Webkit 4.2closeAndroid 4.2DOOVS1Smartphoneyesyescloseclose 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 2016-01-26 16:41:58 | by ThaDafinser