User agent detail

SonyEricssonW880iv/R1JC 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
SonyEricssonW880iv Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.037 Detail
DonatjUAParser
v0.5.0
SonyEricssonW880iv R1JCcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonW880ivmobile-browseryescloseclose0.19302 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonW880ivfeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonW880ivcloseclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.047 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W880ivcloseclosecloseclosecloseclose0.40404 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW880ivmobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonW880ivFeature Phoneyescloseclose0.037 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 13:26:27 | by ThaDafinser