User agent detail

BenQ P30/R101 Profile/MIDP-2.0 Configuration/CLDC-1.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/os-symbian.yaml
UIQ BenQP30mobile:featureyes Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
BenQ closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
closeUIQ BenQP30mobile-browseryescloseclose0.188 Detail
PiwikDeviceDetector
3.5.2
BenQP30feature phoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close closeclosecloseclose0.005 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
No result found
WhichBrowser
2.0.10
UIQ BenQP30mobile:featureyescloseclose0.005 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close BenQP30Feature Phoneyescloseclose0.018 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 13:34:56 | by ThaDafinser