User agent detail

SIE-M65/12 UP.Browser/7.0.0.1.c.3 (GUI) MMP/2.0 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/os-feature.yaml
Openwave 7.0 SiemensM65mobile:featureyes Detail
Providers
BrowscapPhp
6012
Openwave Mobile Browser 7.0 Mobile Phoneyes0.016 Detail
DonatjUAParser
v0.5.0
SIE-M65 12closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Openwave Mobile Browser 7.0.0.1.c.3close SiemensM65mobile-browseryescloseclose0.201 Detail
PiwikDeviceDetector
3.5.2
Openwave Mobile Browser 7.0 SiemensM65smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
UP.Browser 7.0.0close SiemensM65closeclosecloseclose0.006 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Openwave Mobile Browser 7.0.0.1.c.3 closeclosecloseclosecloseclose0.407 Detail
WhichBrowser
2.0.10
Openwave 7.0 SiemensM65mobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close SiemensM65Feature Phoneyescloseclose0.017 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 13:35:05 | by ThaDafinser