User agent detail

SIE-A65C/(2005.05.16)SW07/WAP1.2.1 profile/MIDP-1.0 Configuration/CLDC-1.0 UP.Browser/6.1.0.7.3 (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
SiemensA65C Detail
Providers
BrowscapPhp
6012
Openwave Mobile Browser 6.1 SiemensA65CMobile Phoneyes0.02 Detail
DonatjUAParser
v0.5.0
SIE-A65C closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Openwave Mobile Browser 6.1.0.7.3close SiemensA65mobile-browseryescloseclose0.2 Detail
PiwikDeviceDetector
3.5.2
Openwave Mobile Browser 6.1 SiemensA65Csmartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
UP.Browser 6.1.0close SiemensA65Ccloseclosecloseclose0.002 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Openwave Mobile Browser 6.1.0.7.3 closeclosecloseclosecloseclose0.504 Detail
WhichBrowser
2.0.10
Openwave 6.1 SiemensA65mobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close SiemensA65Feature Phoneyescloseclose0.047 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 13:30:45 | by ThaDafinser