User agent detail

Mozilla/13.0 (SAMSUNG; SAMSUNG-GT-S8530/S8530XXLA1; U; Bada/2.0; xx) AppleWebKit/534.20 (KHTML, like Gecko) Dolfin/3.0 Mobile WVGA SMM-MMS/1.2.0 OPN-B

Detected by 6 of 8 providers
As bot detected by 1 of 7

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
No result found
DonatjUAParser
v0.5.0
AppleWebKit 534.20closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Dolphin 3.0WebKit Bada 2.0SamsungGT-S8530smartphoneyes Detail
SinergiBrowserDetector
6.0.0
Mozilla 13.0close closecloseclosecloseclose Detail
UAParser
v3.4.5
Dolfin 3.0closeBada 2.0SamsungGT-S8530closeclosecloseclose Detail
WhichBrowser
2.0.9
Dolfin 3.0Webkit 534.20Bada 2.0SamsungWave IImobile:smartyescloseclose Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
close yescloseclose 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 16:39:55 | by ThaDafinser