User agent detail

SoftBank/1.0/841SH/SHJ001/SN000000000000000 Browser/NetFront/3.5 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
woothee/woothee-testset
/testsets/mobilephone_softbank.yaml
SoftBank Mobile 841SHSoftBank mobilephone Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.021 Detail
DonatjUAParser
v0.5.0
SoftBank 1.0closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 3.5closeJVM Softbank841SHmobile-browseryescloseclose0.19202 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront Softbank841SHsmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.5close closeclosecloseclose0.004 Detail
UserAgentStringCom
NetFront 3.5close closecloseclosecloseclose0.05801 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.48805 Detail
WhichBrowser
2.0.10
NetFront 3.5 Sharp841SHmobile:featureyescloseclose0.002 Detail
Woothee
v1.2.0
SoftBank Mobile 841SHcloseclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.6.4
NetFront 3.5close Softbank841SHFeature Phoneyescloseclose0.021 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 2016-02-13 13:36:02 | by ThaDafinser