User agent detail

Opera Mini 4/SonyEricssonW595/R3EG Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.3.3
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonW595 Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.021 Detail
DonatjUAParser
v0.5.0
Opera Minicloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM AccessNetFront Ver. 3.4mobile-browseryescloseclose0.197 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonW595smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
Opera Mini SonyEricssonW595close closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.4close SonyEricssonW595closeclosecloseclose0.002 Detail
UserAgentStringCom
Opera Mini close closecloseclosecloseclose0.054 Detail
WhatIsMyBrowserCom
Opera Mini Sony EricssonSony Ericsson W595closeclosecloseclosecloseclose0.42 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonW595mobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
Opera closecloseclosecloseclosecloseclose0 Detail
Wurfl
1.6.4
NetFront 3.4close AccessNetFront Ver. 3.4Feature Phoneyescloseclose0.015 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 13:29:33 | by ThaDafinser