User agent detail

SoftBank/1.0/103P/PJP10/SN352788051966244 Browser/NetFront/3.4 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 3.4 Panasonic103Pmobile:featureyes Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.023 Detail
DonatjUAParser
v0.5.0
SoftBank 1.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM Softbank001Nmobile-browseryescloseclose0.17602 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Softbank103Psmartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close closeclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.06401 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.40804 Detail
WhichBrowser
2.0.10
NetFront 3.4 Panasonic103Pmobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
SoftBank Mobile 103Pcloseclosecloseclosemobilephoneclosecloseclose0.001 Detail
Wurfl
1.6.4
NetFront 3.4close Softbank001NFeature 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 13:34:35 | by ThaDafinser