User agent detail

SonyEricssonW908c/R1x Browser/NetFront/3.4 Profile/MIDP-2.1 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
SonyEricssonW908c Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.038 Detail
DonatjUAParser
v0.5.0
SonyEricssonW908c R1xcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonW908cmobile-browseryescloseclose0.40904 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonW908cfeature phoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonW908ccloseclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.04901 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W908ccloseclosecloseclosecloseclose0.40404 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonW908cmobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonW908cFeature Phoneyescloseclose0.032 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 13:27:33 | by ThaDafinser