User agent detail

Mozilla/5.0 (Linux; Android 4.0.3; HTC Sensation XE with Beats Audio Z715e Build/IML74K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.82 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 30.0Blink Android 4.0HTCSensationMobile Phoneyes Detail
DonatjUAParser
v0.5.0
Chrome 30.0.1599.82closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome Mobile 30.0Blink Android 4.0HTCSensation XE with Beats Audio Z715esmartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 30.0.1599.82closeAndroid 4.0.3closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile 30.0.1599closeAndroid 4.0.3HTCSensation XE with Beats Audio Z715ecloseclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 30Blink 537.36Android 4.0.3HTCSensation XEmobile:smartyescloseclose Detail
Woothee
v1.2.0
Chrome 30.0.1599.82closeclosecloseclosesmartphoneclosecloseclose 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 16:41:27 | by ThaDafinser