User agent detail

SonyEricssonK330/R1CC001 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
SonyEricssonK330 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
SonyEricssonK330 R1CC001closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo Q 4close Sony EricssonK330mobile-browseryescloseclose0.18402 Detail
PiwikDeviceDetector
3.5.2
Obigo Sony EricssonK330smartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Teleca Browser close SonyEricssonK330closeclosecloseclose0.009 Detail
UserAgentStringCom
Teleca-Obigo close closecloseclosecloseclose0.07401 Detail
WhatIsMyBrowserCom
Sony EricssonSony Ericsson K330closeclosecloseclosecloseclose0.40206 Detail
WhichBrowser
2.0.10
Obigo Q 4C Sony EricssonK330mobile:featureyescloseclose0.017 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close SonyEricssonK330Feature Phoneyescloseclose0.023 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 13:37:56 | by ThaDafinser