User agent detail

Mozilla/4.0 SonyEricssonW980v/R3CA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.3.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonW980v Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.05901 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonW980vmobile-browseryescloseclose0.19402 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonW980vfeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.4close SonyEricssonW980vcloseclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.11601 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W980vcloseclosecloseclosecloseclose0.44204 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonW980vmobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonW980vFeature Phoneyescloseclose0.09001 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 13:25:40 | by ThaDafinser