User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; KAZAM Thunder Q45 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.94 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 28.0Blink Android 4.2Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 28.0.1500.94closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome Mobile 28.0Blink Android 4.2KazamThunder Q45smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 28.0.1500.94closeAndroid 4.2.2closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile 28.0.1500closeAndroid 4.2.2KAZAM Thunder Q45closeclosecloseclose Detail
WhichBrowser
2.0.9
Chrome Dev 28.0.1500.94Blink 537.36Android 4.2.2KAZAMThunder Q4.5mobile:smartyescloseclose Detail
Woothee
v1.2.0
Chrome 28.0.1500.94closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Android Webkit 4.2closeAndroid 4.2KAZAMQ45Smartphoneyesyescloseclose 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 16:39:03 | by ThaDafinser