User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.3; cs_cz; MT11i Build/GINGERBREAD) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 NetFrontLifeBrowser/2.3 Mobile (Dragonfruit)

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
NetFrontLifeBrowser 2.3WebKit Android Mobile Phoneyesyes Detail
DonatjUAParser
v0.5.0
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
NetFront Life 2.3NetFront Android 2.3Sony EricssonXperia neo Vsmartphoneyes Detail
SinergiBrowserDetector
6.0.0
Navigator 4.0closeAndroid 2.3.3closecloseyesclosecloseclose Detail
UAParser
v3.4.5
Android 2.3.3closeAndroid 2.3.3SonyEricssonMT11icloseclosecloseclose Detail
WhichBrowser
2.0.9
NetFront Life Browser 2.3Webkit 530.17Android 2.3.3Sony EricssonXperia Neo Vmobile:smartyescloseclose Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose Detail
Wurfl
1.6.4
Android Webkit 2.3closeAndroid 2.3Smartphoneyesyescloseclose 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 16:42:44 | by ThaDafinser