User agent detail

Mozilla/5.0 (Linux; Android 4.4.4; MI NOTE LTE Build/KTU84P) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/33.0.0.0 Mobile Safari/537.36; 360 Aphone Browser (6.9.7)

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Android WebView 4.0Blink Android 4.4Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 33.0.0.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
360 Phone Browser 6.9WebKit Android 4.4XiaomiMI Note LTEphabletyes Detail
SinergiBrowserDetector
6.0.0
Chrome 33.0.0.0closeAndroid 4.4.4closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile 33.0.0closeAndroid 4.4.4XiaoMiMI NOTE LTEcloseclosecloseclose Detail
WhichBrowser
2.0.9
Qihoo 360 Browser 6.9.7Blink 537.36Android 4.4.4XiaomiMi Notemobile:smartyescloseclose Detail
Woothee
v1.2.0
Chrome 33.0.0.0closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chromium 39closeAndroid 4.4XiaomiMI NOTESmartphoneyesyescloseclose 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 16:42:56 | by ThaDafinser