User agent detail

DoCoMo/2.0 N09A3(c500;TB;W30H20)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/carrier-docomo.yaml
NECN09A3mobile:featureyes Detail
Providers
BrowscapPhp
6012
i-mode Browser 2.0 JAVA Mobile Deviceyes0.009 Detail
DonatjUAParser
v0.5.0
DoCoMo 2.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront close DoCoMomobile-browseryescloseclose0.185 Detail
PiwikDeviceDetector
3.5.2
DoCoMoN09A3feature phoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close DoCoMoN09A3closeclosecloseclose0.005 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
N09A3closeclosecloseclosecloseclose0.423 Detail
WhichBrowser
2.0.10
NECN09A3mobile:featureyescloseclose0.003 Detail
Woothee
v1.2.0
docomo N09A3closeclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.6.4
close DoCoMoN-09AFeature Phoneyescloseclose0.012 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 13:42:53 | by ThaDafinser