User agent detail

Mozilla/5.0 (Linux; U; Android 4.4.2; zh-cn; HS-X1 Build/KVT49L) AppleWebKit/533.1 (KHTML, like Gecko)Version/4.0 MQQBrowser/5.4 TBS/025440 Mobile Safari/533.1 MicroMessenger/6.1.0.74_r1098891.543 NetType/3gnet

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 4.4Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
WeChat 6.1 Android 4.4HisenseHS-X1smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 4.4.2closecloseyesclosecloseclose Detail
UAParser
v3.4.5
QQ Browser Mobile 5.4closeAndroid 4.4.2HisenseHS-X1closeclosecloseclose Detail
WhichBrowser
2.0.9
WeChat 6.1.0.74Webkit 533.1Android 4.4.2HisenseX1mobile:smartyescloseclose Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chromium 30closeAndroid 4.4Smartphoneyesyescloseclose 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 16:40:28 | by ThaDafinser