User agent detail

SonyEricssonW850iv/R1ED Browser/NetFront/3.3 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonW850iv Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.049 Detail
DonatjUAParser
v0.5.0
SonyEricssonW850iv R1EDcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonW850ivmobile-browseryescloseclose0.18602 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonW850ivfeature phoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonW850ivcloseclosecloseclose0.014 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.06601 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W850ivcloseclosecloseclosecloseclose0.40504 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW850ivmobile:featureyescloseclose0.015 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonW850ivFeature Phoneyescloseclose0.028 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 13:38:31 | by ThaDafinser