User agent detail

SonyEricssonT658c/R8BA 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
SonyEricssonT658c Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.073 Detail
DonatjUAParser
v0.5.0
SonyEricssonT658c R8BAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonT658cmobile-browseryescloseclose0.20002 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonT658cfeature phoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonT658ccloseclosecloseclose0.011 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.07801 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson T658ccloseclosecloseclosecloseclose0.40804 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonT658cmobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonT658cFeature Phoneyescloseclose0.044 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 13:36:12 | by ThaDafinser