User agent detail

SoftBank/1.0/911SH/SHJ001/SN353678010678288 Browser/NetFront/3.3 Profile/MIDP-2.0 Configuration/CLDC-1.1

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
NetFront 3.3NetFront Mobile Deviceyes Detail
DonatjUAParser
v0.5.0
SoftBank 1.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
NetFront 3.3NetFront Softbank911SHsmartphoneyes Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close closeclosecloseclose Detail
WhichBrowser
2.0.9
NetFront 3.3 Sharp911SHmobile:featureyescloseclose Detail
Woothee
v1.2.0
SoftBank Mobile 911SHcloseclosecloseclosemobilephoneclosecloseclose Detail
Wurfl
1.6.4
NetFront 3.3close Softbank911SHFeature Phoneyescloseclose 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 16:42:02 | by ThaDafinser