User agent detail

SonyEricssonW100a/R1BD013 TelecaBrowser/Q07C1-1 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
SonyEricssonW100a Detail
Providers
BrowscapPhp
6012
Teleca-Obigo 7.0 JAVA Mobile Phoneyes0.043 Detail
DonatjUAParser
v0.5.0
SonyEricssonW100a R1BD013closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo Q 7close Sony EricssonW100amobile-browseryescloseclose0.19202 Detail
PiwikDeviceDetector
3.5.2
Obigo Sony EricssonSpirofeature phoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Teleca Browser close SonyEricssonW100acloseclosecloseclose0.006 Detail
UserAgentStringCom
Teleca-Obigo close closecloseclosecloseclose0.06601 Detail
WhatIsMyBrowserCom
Sony EricssonSony Ericsson W100acloseclosecloseclosecloseclose0.40304 Detail
WhichBrowser
2.0.10
Obigo Q 7C Sony EricssonW100amobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close SonyEricssonW100aFeature Phoneyescloseclose0.024 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 13:39:50 | by ThaDafinser