User agent detail

SonyEricssonF100i/R1GA Browser/NetFront/3.4 Profile/MIDP-2.1 Configuration/CLDC-1.1 JavaPlatform/JP-8.4.4
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SonyEricssonF100i Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront Mobile Deviceyes0.038 Detail
DonatjUAParser
v0.5.0
SonyEricssonF100i R1GAcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.4closeJVM SonyEricssonF100imobile-browseryescloseclose0.19602 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.4NetFront Sony EricssonJaloufeature phoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.4close SonyEricssonF100icloseclosecloseclose0.006 Detail
UserAgentStringCom
NetFront 3.4close closecloseclosecloseclose0.05901 Detail
WhatIsMyBrowserCom
NetFront Sony EricssonSony Ericsson F100icloseclosecloseclosecloseclose0.40604 Detail
WhichBrowser
2.0.10
NetFront 3.4 Sony EricssonJaloumobile:featureyescloseclose0.006 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.4close SonyEricssonF100iFeature Phoneyescloseclose0.018 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 13:30:29 | by ThaDafinser