User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; zh-cn; SAMSUNG-GT-I9508_TD/1.0 Android/4.2.2 Release/03.15.2013 Browser/AppleWebKit535.19 Build/JDQ39) ApplelWebkit/535.19 (KHTML, like Gecko) Version/1.0 Chrome/18.0.1025.308 Mobile Safari/535.19

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Android 4.0WebKit Android 4.2Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 18.0.1025.308closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome Mobile 18.0WebKit Android 4.2SamsungGT-I9508smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 18.0.1025.308closeAndroid 4.2.2closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile 18.0.1025closeAndroid 4.2.2SamsungGT-I9508closeclosecloseclose Detail
WhichBrowser
2.0.9
Samsung Browser 1.0Webkit 535.19Android 4.2.2SamsungGalaxy S4 Duosmobile:smartyescloseclose Detail
Woothee
v1.2.0
Chrome 18.0.1025.308closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chromium 18closeAndroid 4.2SamsungGT-I9508Smartphoneyesyescloseclose 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 16:40:20 | by ThaDafinser