User agent detail

SonyEricssonC903/R1EA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.4.2
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonC903 Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.10101 Detail
DonatjUAParser
v0.5.0
SonyEricssonC903 R1EAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonC903mobile-browseryescloseclose0.20502 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonC903smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonC903closeclosecloseclose0.007 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.05401 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson C903closeclosecloseclosecloseclose0.40104 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonC903mobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonC903Feature Phoneyescloseclose0.046 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 13:25:14 | by ThaDafinser