User agent detail

Mozilla/5.0 (MobilePhone; NMCS/3.4; like Gecko/20060901;KYOCERA/WX340K/2;3.0.3.11.000000/1) NetFront/3.4
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/carrier-willcom.yaml
NetFront 3.4 KyoceraWX340Kmobile:featureyes Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.18498 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.4close AccessNetFront Ver. 3.4mobile-browseryescloseclose0.18904 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront KyoceraWX340Ksmartphoneyes0.011 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.4close closeclosecloseclose0.012 Detail
UserAgentStringCom
Mozilla close closecloseclosecloseclose0.05101 Detail
WhatIsMyBrowserCom
NetFront Mobilecloseclosecloseclosecloseclose0.40708 Detail
WhichBrowser
2.0.10
NetFront 3.4 KyoceraWX340Kmobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close AccessNetFront Ver. 3.4Feature Phoneyescloseclose0.019 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 13:35:47 | by ThaDafinser