User agent detail

SIE-SP65/47 UP.Browser/7.0.2.2.d.1(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
SiemensSP65 Detail
Providers
BrowscapPhp
6012
Openwave Mobile Browser 7.0 Mobile Phoneyes0.02 Detail
DonatjUAParser
v0.5.0
SIE-SP65 47closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Openwave Mobile Browser 7.0.2.2.d.1close SiemensSP65mobile-browseryescloseclose0.21798 Detail
PiwikDeviceDetector
3.5.2
Openwave Mobile Browser 7.0 SiemensSP65smartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
UP.Browser 7.0.2close SiemensSP65closeclosecloseclose0.014 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Openwave Mobile Browser 7.0.2.2.d.1 closeclosecloseclosecloseclose0.46795 Detail
WhichBrowser
2.0.10
Openwave 7.0 SiemensSP65mobile:featureyescloseclose0.015 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close SiemensSP65Feature Phoneyescloseclose0.041 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 13:34:52 | by ThaDafinser