User agent detail

SonyEricssonK800ii/R1EG 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
SonyEricssonK800ii Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront Mobile Deviceyes0.046 Detail
DonatjUAParser
v0.5.0
SonyEricssonK800ii R1EGcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.3closeJVM SonyEricssonK800imobile-browseryescloseclose0.21502 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.3NetFront Sony EricssonK800iifeature phoneyes0.05301 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.3close SonyEricssonK800iicloseclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.3close closecloseclosecloseclose0.053 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson K800iicloseclosecloseclosecloseclose0.42204 Detail
WhichBrowser
2.0.10
NetFront 3.3 Sony EricssonK800iimobile:featureyescloseclose0.023 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.3close SonyEricssonK800iFeature Phoneyescloseclose0.032 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 13:28:26 | by ThaDafinser