User agent detail

SonyEricssonA290i/R1AA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-10.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonA290i Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.05201 Detail
DonatjUAParser
v0.5.0
SonyEricssonA290i R1AAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonA290imobile-browseryescloseclose0.197 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonA290ismartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonA290icloseclosecloseclose0.004 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.052 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson A290icloseclosecloseclosecloseclose0.405 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonA290imobile:featureyescloseclose0.017 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonA290iFeature Phoneyescloseclose0.03 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 13:27:13 | by ThaDafinser