User agent detail

SoftBank/1.0/910T/TJ001/SN Browser/NetFront/3.3 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/carrier-softbank.yaml
NetFront 3.3 Toshiba910Tmobile:featureyes Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.02 Detail
DonatjUAParser
v0.5.0
SoftBank 1.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM Softbank910Tmobile-browseryescloseclose0.17702 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Softbank910Tsmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close closeclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.05601 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.40704 Detail
WhichBrowser
2.0.10
NetFront 3.3 Toshiba910Tmobile:featureyescloseclose0.003 Detail
Woothee
v1.2.0
SoftBank Mobile 910Tcloseclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.6.4
NetFront 3.3close Softbank910TFeature Phoneyescloseclose0.017 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 13:40:43 | by ThaDafinser