User agent detail

Mozilla/5.0 (Linux; U; Android 4.0.4; zh-cn; K-Touch S757/K-TOUCH_S757_V2.0; 480*854; CTC/2.0) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 Mobile Safari/534.30 hao123/5.1_0.5.6.4_diordna_287_084/uynaiT_51_4.0.4_757S+hcuoT-K/381b/9745f72a301c90ab899829c9071c0ed7/1

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Android 4.0WebKit Android 4.0Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Android Browser WebKit Android 4.0K-TouchS757smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 4.0.4closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Android 4.0.4closeAndroid 4.0.4closeclosecloseclose Detail
WhichBrowser
2.0.9
Baidu Hao123 5.1Webkit 534.30Android 4.0.4K-TouchS757mobile:smartyescloseclose Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 18closeAndroid 4.0Smartphoneyesyescloseclose 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 16:40:02 | by ThaDafinser