User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.1; zh-cn; U707T Build/JOP40D) AppleWebKit/533.1 (KHTML, like Gecko)Version/4.0 MQQBrowser/5.4 TBS/025438 Mobile Safari/533.1 MicroMessenger/6.1.0.66_r1062275.542 NetType/WIFI

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
WeChat App 6.1WebKit Android Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
WeChat 6.1 Android 4.2OPPOFind Way Ssmartphoneyes Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 4.2.1closecloseyesclosecloseclose Detail
UAParser
v3.4.5
QQ Browser Mobile 5.4closeAndroid 4.2.1OppoU707Tcloseclosecloseclose Detail
WhichBrowser
2.0.9
WeChat 6.1.0.66Webkit 533.1Android 4.2.1OppoFind Way S U707Tmobile:smartyescloseclose Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Android Webkit 4.2closeAndroid 4.2OPPOU707TSmartphoneyesyescloseclose 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 16:39:44 | by ThaDafinser