User agent detail

SIE-CF7C/13 UP.Browser/7.0.2.2.d.7(GUI) MMP/2.0 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
SiemensCF7C Detail
Providers
BrowscapPhp
6012
Openwave Mobile Browser 7.0 Mobile Phoneyes0.013 Detail
DonatjUAParser
v0.5.0
SIE-CF7C 13closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Openwave Mobile Browser 7.0.2.2.d.7close mobile-browseryescloseclose0.18702 Detail
PiwikDeviceDetector
3.5.2
Openwave Mobile Browser 7.0 SiemensCF7Csmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
UP.Browser 7.0.2close SiemensCF7Ccloseclosecloseclose0.002 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Openwave Mobile Browser 7.0.2.2.d.7 closeclosecloseclosecloseclose0.40704 Detail
WhichBrowser
2.0.10
Openwave 7.0 SiemensCF7mobile:featureyescloseclose0.01 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
close Feature Phoneyescloseclose0.014 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 13:28:11 | by ThaDafinser