User agent detail

Mozilla/5.0 (Linux; Android 4.0.3; GT-I9220 Build/IML74K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.59 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 39.0Blink Android 4.0Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Chrome 39.0.2171.59closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Chrome Mobile 39.0Blink Android 4.0SamsungGT-I9220smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Chrome 39.0.2171.59closeAndroid 4.0.3closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome Mobile 39.0.2171closeAndroid 4.0.3SamsungGT-I9220closeclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 39Blink 537.36Android 4.0.3SamsungGalaxy Notemobile:smartyescloseclose Detail
Woothee
v1.2.0
Chrome 39.0.2171.59closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 39closeAndroid 4.0SamsungGT-I9220Smartphoneyesyescloseclose 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 16:40:55 | by ThaDafinser