User agent detail

SonyEricssonK770iv/R8AC 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
SonyEricssonK770iv Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.06202 Detail
DonatjUAParser
v0.5.0
SonyEricssonK770iv R8ACcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonK770ivmobile-browseryescloseclose0.21404 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonK770ivfeature phoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonK770ivcloseclosecloseclose0.012 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.09402 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K770ivcloseclosecloseclosecloseclose0.41008 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonK770ivmobile:featureyescloseclose0.01 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonK770ivFeature Phoneyescloseclose0.02501 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 13:41:53 | by ThaDafinser