User agent detail

SonyEricssonW200iv/R4GB 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
SonyEricssonW200iv Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.042 Detail
DonatjUAParser
v0.5.0
SonyEricssonW200iv R4GBcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonW200ivmobile-browseryescloseclose0.18902 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonZylofeature phoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonW200ivcloseclosecloseclose0.011 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.08001 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson W200ivcloseclosecloseclosecloseclose0.41404 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonW200ivmobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonW200ivFeature Phoneyescloseclose0.025 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 13:42:22 | by ThaDafinser