User agent detail

Vodafone/SonyEricssonV800/R1S025 Browser/SEMC-Browser/4.1 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
SEMC Browser 4.1 Sony EricssonV800mobile:featureyes Detail
Providers
BrowscapPhp
6012
SEMC Browser JAVA Mobile Phoneyes0.06301 Detail
DonatjUAParser
v0.5.0
Vodafone SonyEricssonV800closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
SEMC Browser 4.1close Sony EricssonV800mobile-browseryescloseclose0.193 Detail
PiwikDeviceDetector
3.5.2
SEMC-Browser 4.1 Sony EricssonV800smartphoneyes0.014 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
SEMC-Browser 4.1close SonyEricssonV800closeclosecloseclose0.01 Detail
UserAgentStringCom
SEMC-Browser 4.1close closecloseclosecloseclose0.047 Detail
WhatIsMyBrowserCom
Sony EricssonSony Ericsson V800closeclosecloseclosecloseclose0.406 Detail
WhichBrowser
2.0.10
SEMC Browser 4.1 Sony EricssonV800mobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
SoftBank Mobile closeclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.6.4
Java Applet close SonyEricssonV800Feature Phoneyescloseclose0.02 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 13:25:05 | by ThaDafinser