User agent detail

SonyEricssonJ108i/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 EricssonCedarfeature phone Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.046 Detail
DonatjUAParser
v0.5.0
SonyEricssonJ108i R1xcloseclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 3.5closeJVM SonyEricssonJ108imobile-browseryescloseclose0.18202 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront Sony EricssonCedarfeature phoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.5close SonyEricssonJ108icloseclosecloseclose0.015 Detail
UserAgentStringCom
NetFront 3.5close closecloseclosecloseclose0.12701 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson J108icloseclosecloseclosecloseclose0.41304 Detail
WhichBrowser
2.0.10
NetFront 3.5 Sony EricssonCedarmobile:featureyescloseclose0.005 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close SonyEricssonJ108iFeature Phoneyescloseclose0.012 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 13:30:11 | by ThaDafinser