User agent detail

Mozilla/5.0 (SAMSUNG; SAMSUNG-GT-S7230E-ORANGE/S723EBVJJ1; U; Bada/1.0; fr-fr) AppleWebKit/533.1 (KHTML, like Gecko) Dolfin/2.0 Mobile WQVGA SMM-MMS/1.2.0 NexPlayer/3.0 profile/MIDP-2.1 configuration/CLDC-1.1 OPN-B

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Dolfin 2.0WebKit Bada 1.0SamsungGT-S7230EMobile Phoneyes Detail
DonatjUAParser
v0.5.0
AppleWebKit 533.1closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
NexPlayer 3.0 Bada 1.0SamsungGT-S7230Esmartphoneyes Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose Detail
UAParser
v3.4.5
Dolfin 2.0closeBada 1.0SamsungGT-S7230E-ORANGEcloseclosecloseclose Detail
WhichBrowser
2.0.9
Dolfin 2.0Webkit 533.1Bada 1.0SamsungWave 723mobile:smartyescloseclose Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Dolfin Browser 2.0closeBada 1.0SamsungGT-S7230EFeature Phoneyesyescloseclose 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 16:43:14 | by ThaDafinser