User agent detail

Mozilla/5.0 (Linux; U; Android 4.4.2; zh-cn; NX507J Build/KVT49L) AppleWebKit/533.1 (KHTML, like Gecko)Version/4.0 MQQBrowser/5.4 TBS/025440 Mobile Safari/533.1 MicroMessenger/6.2.2.54_rec1912d.581 NetType/3gnet 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 4.4Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
WeChat 6.2 Android 4.4ZTENubia Z7 minismartphoneyes Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 4.4.2closecloseyesclosecloseclose Detail
UAParser
v3.4.5
QQ Browser Mobile 5.4closeAndroid 4.4.2NX507Jcloseclosecloseclose Detail
WhichBrowser
2.0.9
WeChat 6.2.2.54Webkit 533.1Android 4.4.2ZTENubia Z7 minimobile:smartyescloseclose Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Android Webkit 4.4closeAndroid 4.4ZTENX507JSmartphoneyesyescloseclose 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 16:39:30 | by ThaDafinser