User agent detail

Mozilla/4.0 SonyEricssonC123v/R1CA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.4.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonC123v Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.04701 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonC123mobile-browseryescloseclose0.189 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonC123vfeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.4close SonyEricssonC123vcloseclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.171 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson C123vcloseclosecloseclosecloseclose0.405 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonC123vmobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonC123Feature Phoneyescloseclose0.042 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 13:43:27 | by ThaDafinser