User agent detail

SonyEricssonJ20i/R1x Browser/NetFront/3.5 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.5
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/feature_phone.yml
NetFront 3.5 NetFront Sony EricssonHazelfeature phone Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.057 Detail
DonatjUAParser
v0.5.0
SonyEricssonJ20i R1xcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.5closeJVM SonyEricssonJ20imobile-browseryescloseclose0.184 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront Sony EricssonHazelfeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.5close SonyEricssonJ20icloseclosecloseclose0.001 Detail
UserAgentStringCom
NetFront 3.5close closecloseclosecloseclose0.053 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson J20icloseclosecloseclosecloseclose0.415 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 SonyEricssonJ20iFeature Phoneyescloseclose0.02 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 13:39:14 | by ThaDafinser