User agent detail

Mozilla/5.0 (Linux; U; Android 4.0.3; zh-cn; DATANG S11 Build/V11_DATANG_2__D0_GT818X_nM-V1127B1842-usr) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1 MicroMessenger/6.2.2.54_rec1912d.581 NetType/cmwap Language/zh_CN

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
WeChat 6.2 Android 4.0DatangS11smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 4.0.3closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Android 4.0.3closeAndroid 4.0.3DATANG S11closeclosecloseclose Detail
WhichBrowser
2.0.9
WeChat 6.2.2.54Webkit 533.1Android 4.0.3DATANG S11mobile: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 16:42:30 | by ThaDafinser