User agent detail

SonyEricssonW830a/R1JC 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
SonyEricssonW830a Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.05901 Detail
DonatjUAParser
v0.5.0
SonyEricssonW830a R1JCcloseclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonW830cmobile-browseryescloseclose0.189 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonW830afeature phoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonW830acloseclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.046 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W830acloseclosecloseclosecloseclose0.423 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW830amobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonW830cFeature Phoneyescloseclose0.022 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 13:42:42 | by ThaDafinser