User agent detail

SonyEricssonW200i/R4JA Browser/NetFront/3.3 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/browser-netfront.yaml
NetFront 3.3 Sony EricssonW200imobile:featureyes Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.04 Detail
DonatjUAParser
v0.5.0
SonyEricssonW200i R4JAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonW200imobile-browseryescloseclose0.197 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonZylofeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonW200icloseclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.069 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W200icloseclosecloseclosecloseclose0.415 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW200imobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonW200iFeature Phoneyescloseclose0.016 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 13:26:47 | by ThaDafinser