User agent detail

SIE-AF51/07 Profile/MIDP-1.0 Configuration/CLDC-1.0 UP.Browser/6.1.0.7.3.102 (GUI) MMP/1.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SiemensAF51 Detail
Providers
BrowscapPhp
6012
Openwave Mobile Browser 6.1 SiemensAF51Mobile Phoneyes0.009 Detail
DonatjUAParser
v0.5.0
SIE-AF51 07closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Openwave Mobile Browser 6.1.0.7.3.102close SiemensAF51mobile-browseryescloseclose0.18702 Detail
PiwikDeviceDetector
3.5.2
Openwave Mobile Browser 6.1 SiemensAF51smartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
UP.Browser 6.1.0close SiemensAF51closeclosecloseclose0.02 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Openwave Mobile Browser 6.1.0.7.3.102 closeclosecloseclosecloseclose0.40004 Detail
WhichBrowser
2.0.10
Openwave 6.1 SiemensAF51mobile:featureyescloseclose0.017 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close SiemensAF51Feature Phoneyescloseclose0.034 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 13:42:21 | by ThaDafinser