User agent detail

SonyEricssonW600c/R7B 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
SonyEricssonW600c Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.039 Detail
DonatjUAParser
v0.5.0
SonyEricssonW600c R7Bcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonW600cmobile-browseryescloseclose0.66507 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonW600cfeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonW600ccloseclosecloseclose0.009 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.18602 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W600ccloseclosecloseclosecloseclose0.40404 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW600cmobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonW600cFeature 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 13:34:13 | by ThaDafinser