User agent detail

SonyEricssonK618iv/R1ED Browser/NetFront/3.3 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonK618iv Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.045 Detail
DonatjUAParser
v0.5.0
SonyEricssonK618iv R1EDcloseclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonK618imobile-browseryescloseclose0.196 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonK618ivfeature phoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonK618ivcloseclosecloseclose0.007 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.045 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K618ivcloseclosecloseclosecloseclose0.435 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonK618ivmobile:featureyescloseclose0.015 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonK618iFeature Phoneyescloseclose0.027 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 13:29:54 | by ThaDafinser