User agent detail

SoftBank/1.0/932SH/SHJ003/SN353700022260911 Browser/NetFront/3.5 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 3.5NetFront Mobile Deviceyes Detail
DonatjUAParser
v0.5.0
SoftBank 1.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
NetFront 3.5NetFront Softbank932SHsmartphoneyes Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.5close closeclosecloseclose Detail
WhichBrowser
2.0.9
NetFront 3.5 Sharp932SHmobile:featureyescloseclose Detail
Woothee
v1.2.0
SoftBank Mobile 932SHcloseclosecloseclosemobilephoneclosecloseclose Detail
Wurfl
1.6.4
NetFront 3.5close Softbank932SHFeature 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 16:41:20 | by ThaDafinser