User agent detail

Mozilla/5.0 (Linux; Android 4.0.3; SHW-M305W Build/IML74K) AppleWebKit/535.19 (KHTML, like Gecko) Chrome/18.0.1025.133 Safari/535.19

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Chrome 18.0WebKit Android 4.0Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 18.0.1025.133closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome 18.0WebKit Android 4.0SamsungSHW-M305Wsmartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 18.0.1025.133closeAndroid 4.0.3closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome 18.0.1025closeAndroid 4.0.3SamsungSHW-M305Wcloseclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 18Webkit 535.19Android 4.0.3SamsungGalaxy Tab 8.9tabletyescloseclose Detail
Woothee
v1.2.0
Chrome 18.0.1025.133closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 18closeAndroid 4.0SamsungSHW-M305WTabletyesyescloseclose 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 16:38:31 | by ThaDafinser