User agent detail

SonyEricssonJ105i/R1x Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.4
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/feature_phone.yml
NetFront 3.4 NetFront Sony EricssonNaitefeature phone Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.10001 Detail
DonatjUAParser
v0.5.0
SonyEricssonJ105i R1xcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonJ105imobile-browseryescloseclose0.19102 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonNaitefeature phoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonJ105icloseclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.09001 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson J105icloseclosecloseclosecloseclose0.40304 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonNaitemobile:featureyescloseclose0.005 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonJ105iFeature Phoneyescloseclose0.015 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 13:42:39 | by ThaDafinser