User agent detail

Mozilla/5.0 (Linux; Android 4.4.4; RIDGE FAB 4G Build/KTU84P) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.111 Mobile Safari/537.36

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Chrome 42.0Blink Android 4.4Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 42.0.2311.111closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome Mobile 42.0Blink Android 4.4WikoRidge Fab 4Gsmartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 42.0.2311.111closeAndroid 4.4.4closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile 42.0.2311closeAndroid 4.4.4RIDGE FAB 4Gcloseclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 42Blink 537.36Android 4.4.4WikoRidge Fabmobile:smartyescloseclose Detail
Woothee
v1.2.0
Chrome 42.0.2311.111closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 42closeAndroid 4.4WikoRidge Fab 4GSmartphoneyesyescloseclose 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 16:42:52 | by ThaDafinser