User agent detail

SonyEricssonK790a/R1EG Browser/NetFront/3.3 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
NetFront 3.3 Sony EricssonK790amobile:featureyes Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.04 Detail
DonatjUAParser
v0.5.0
SonyEricssonK790a R1EGcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonK790mobile-browseryescloseclose0.18804 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonK790afeature phoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonK790acloseclosecloseclose0.004 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.11202 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K790acloseclosecloseclosecloseclose0.42208 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonK790amobile:featureyescloseclose0.016 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonK790Feature Phoneyescloseclose0.016 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 13:38:07 | by ThaDafinser