User agent detail

SonyEricssonJ20a/R7AB Browser/NetFront/3.5 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.5.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonJ20a Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.035 Detail
DonatjUAParser
v0.5.0
SonyEricssonJ20a R7ABcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.5closeJVM SonyEricssonJ20mobile-browseryescloseclose0.186 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront Sony EricssonHazelfeature phoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.5close SonyEricssonJ20acloseclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.5close closecloseclosecloseclose0.196 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson J20acloseclosecloseclosecloseclose0.441 Detail
WhichBrowser
2.0.10
NetFront 3.5 Sony EricssonHazelmobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.5close SonyEricssonJ20Feature Phoneyescloseclose0.027 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 13:27:06 | by ThaDafinser