User agent detail

SonyEricssonWT13i/R3AF010 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 7C Sony EricssonMix Walkmanfeature phoneyes Detail
Providers
BrowscapPhp
6012
Teleca-Obigo 7.0 JAVA Mobile Phoneyes0.046 Detail
DonatjUAParser
v0.5.0
SonyEricssonWT13i R3AF010closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo Q 7close Sony EricssonMix Walkmanmobile-browseryescloseclose0.19202 Detail
PiwikDeviceDetector
3.5.2
Obigo Sony EricssonMix Walkmanfeature phoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Teleca Browser close SonyEricssonWT13icloseclosecloseclose0.01 Detail
UserAgentStringCom
Teleca-Obigo close closecloseclosecloseclose0.06201 Detail
WhatIsMyBrowserCom
Sony EricssonSony Ericsson WT13icloseclosecloseclosecloseclose0.41004 Detail
WhichBrowser
2.0.10
Obigo Q 7C Sony EricssonMix Walkmanmobile:featureyescloseclose0.005 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close SonyEricssonWT13iFeature 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 13:37:42 | by ThaDafinser