User agent detail

BenQ-CF61/1.00/WAP2.0/MIDP2.0/CLDC1.0 UP.Browser/6.3.0.4.c.1.102 (GUI) MMP/2.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/feature_phone.yml
Openwave Mobile Browser 6.3.0.4 BenQCF61feature phoneyes Detail
Providers
BrowscapPhp
6012
Openwave Mobile Browser 6.3 Mobile Phoneyes0.012 Detail
DonatjUAParser
v0.5.0
BenQ-CF61 1.00closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Openwave Mobile Browser 6.3.0.4.c.1.102close BenQ-SiemensCF61mobile-browseryescloseclose0.191 Detail
PiwikDeviceDetector
3.5.2
Openwave Mobile Browser 6.3 BenQCF61feature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
UP.Browser 6.3.0close closeclosecloseclose0.005 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Openwave Mobile Browser 6.3.0.4.c.1.102 closeclosecloseclosecloseclose0.408 Detail
WhichBrowser
2.0.10
Openwave 6.3 BenQCF61mobile:featureyescloseclose0.018 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close BenQ-SiemensCF61Feature Phoneyescloseclose0.026 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 13:35:02 | by ThaDafinser