User agent detail

SonyEricssonJonathan/R4HA Browser/NetFront/3.3 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonJonathan Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.10401 Detail
DonatjUAParser
v0.5.0
SonyEricssonJonathan R4HAcloseclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 3.3closeJVM AccessNetFront Ver. 3.3mobile-browseryescloseclose0.18702 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonJonathansmartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonJonathancloseclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.14001 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson Jonathancloseclosecloseclosecloseclose0.41304 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonJonathanmobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close AccessNetFront Ver. 3.3Feature Phoneyescloseclose0.07701 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 13:33:56 | by ThaDafinser