User agent detail

SonyEricssonCK13i/R5AA032 TelecaBrowser/Q07C1-1 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/feature_phone.yml
Obigo Sony Ericssontxtfeature phone Detail
Providers
BrowscapPhp
6012
Teleca-Obigo 7.0 JAVA Mobile Phoneyes0.044 Detail
DonatjUAParser
v0.5.0
SonyEricssonCK13i R5AA032closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo Q 7close Sony Ericssontxtmobile-browseryescloseclose3.26033 Detail
PiwikDeviceDetector
3.5.2
Obigo Sony Ericssontxtfeature phoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Teleca Browser close SonyEricssonCK13icloseclosecloseclose0.009 Detail
UserAgentStringCom
Teleca-Obigo close closecloseclosecloseclose0.08801 Detail
WhatIsMyBrowserCom
Sony EricssonSony Ericsson CK13icloseclosecloseclosecloseclose0.58006 Detail
WhichBrowser
2.0.10
Obigo Q 7C Sony Ericssontxtmobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close SonyEricssonCK13iFeature Phoneyescloseclose0.015 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 13:39:40 | by ThaDafinser