User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; QS9715F Build/0.0.2271.0225) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.59 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 39.0Blink Android 4.03QQS9715Ftabletyes Detail
SinergiBrowserDetector
6.0.0
Chrome 39.0.2171.59closeAndroid 4.0.4closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Chrome 39.0.2171closeAndroid 4.0.4QS9715Fcloseclosecloseclose Detail
WhichBrowser
2.0.9
Chrome 39Blink 537.36Android 4.0.43QQoo! Surf Tablet QS9715Ftabletyescloseclose Detail
Woothee
v1.2.0
Chrome 39.0.2171.59closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Chrome Mobile 39closeAndroid 4.03QSurf QS9715FTabletyesyescloseclose 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 16:41:26 | by ThaDafinser