User agent detail

Mozilla/5.0 (Linux; Android 4.0.3; HTC Sensation XE with Beats Audio Z715e Build/IML74K) AppleWebKit/535.19 (KHTML, like Gecko) Chrome/18.0.1025.133 ...

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Chrome 18.0WebKit Linux Linux DesktopDesktop Detail
DonatjUAParser
v0.5.0
Chrome 18.0.1025.133closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome 18.0WebKit Android 4.0HTCSensation XE with Beats Audio Z715esmartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 18.0.1025.133closeAndroid 4.0.3closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome 18.0.1025closeAndroid 4.0.3HTCSensation XE with Beats Audio Z715ecloseclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 18Webkit 535.19Android 4.0.3HTCSensation XEmobile:smartyescloseclose Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 30closeAndroid 4.0HTCSensationXE Beats Z715eSmartphoneyesyescloseclose 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 16:38:25 | by ThaDafinser