User agent detail

SonyEricssonW395c/R1DA Browser/OpenWave/1.0 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
SonyEricssonW395c Detail
Providers
BrowscapPhp
6012
Openwave Mobile Browser 1.0 JAVA Mobile Phoneyes0.055 Detail
DonatjUAParser
v0.5.0
SonyEricssonW395c R1DAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Openwave Mobile Browser close SonyEricssonW395mobile-browseryescloseclose0.19202 Detail
PiwikDeviceDetector
3.5.2
Sony EricssonW395cfeature phoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close SonyEricssonW395ccloseclosecloseclose0.013 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Sony EricssonSony Ericsson W395ccloseclosecloseclosecloseclose0.41304 Detail
WhichBrowser
2.0.10
Sony EricssonW395cmobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close SonyEricssonW395Feature Phoneyescloseclose0.027 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 13:38:34 | by ThaDafinser