User agent detail

SonyEricssonR300/R2AD009 TelecaBrowser/Q04C1-1 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
SonyEricssonR300 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
SonyEricssonR300 R2AD009closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Obigo Q 4close Sony EricssonR300mobile-browseryescloseclose0.19902 Detail
PiwikDeviceDetector
3.5.2
Obigo Sony EricssonR300smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Teleca Browser close SonyEricssonR300closeclosecloseclose0.014 Detail
UserAgentStringCom
Teleca-Obigo close closecloseclosecloseclose0.12401 Detail
WhatIsMyBrowserCom
Sony EricssonSony Ericsson R300closeclosecloseclosecloseclose0.41104 Detail
WhichBrowser
2.0.10
Obigo Q 4C Sony EricssonR300mobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close SonyEricssonR300Feature Phoneyescloseclose0.04601 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 13:25:41 | by ThaDafinser