User agent detail

Mozilla/5.0 (Linux; Android 4.1.2; GT-S7390 Build/JZO54K) AppleWebKit/537.31 (KHTML, like Gecko) Chrome/26.0.1410.58 Mobile Safari/537.31

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Chrome 26.0WebKit Android 4.1Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 26.0.1410.58closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome Mobile 26.0WebKit Android 4.1SamsungGALAXY Trend Litesmartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 26.0.1410.58closeAndroid 4.1.2closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile 26.0.1410closeAndroid 4.1.2SamsungGT-S7390closeclosecloseclose Detail
WhichBrowser
2.0.9
Chrome Dev 26.0.1410.58Webkit 537.31Android 4.1.2SamsungGalaxy Trend Litemobile:smartyescloseclose Detail
Woothee
v1.2.0
Chrome 26.0.1410.58closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 32closeAndroid 4.1SamsungGT-S7390Smartphoneyesyescloseclose 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 16:39:01 | by ThaDafinser