User agent detail

Mozilla/5.0 (Linux; Android 4.2.1; xx; Samsung GT-I9500 Build/JOP40D) AppleWebKit/535.19 (KHTML, like Gecko) Version/1.0.yymmdd 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 WebView 1.0WebKit Android 4.2SamsungGalaxy S4Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 18.0.1025.308closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome Mobile 18.0WebKit Android 4.2SamsungGT-I9500smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 18.0.1025.308closeAndroid 4.2.1closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile 18.0.1025closeAndroid 4.2.1SamsungGT-I9500closeclosecloseclose Detail
WhichBrowser
2.0.9
Samsung Browser 1.0Webkit 535.19Android 4.2.1SamsungGalaxy S4mobile:smartyescloseclose Detail
Woothee
v1.2.0
Chrome 18.0.1025.308closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Android 4.2closeAndroid 4.2Smartphoneyesyescloseclose 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 16:42:06 | by ThaDafinser