User agent detail

MOT-V3i_iTunes/08.22.09R MIB/BER2.2 Profile/MIDP-2.0 Configuration/CLDC-1.1 EGE/1.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
MotorolaV3i_iTunes Detail
Providers
BrowscapPhp
6012
Motorola Internet Browser 2.2 MotorolaV3iMobile Phoneyes0.012 Detail
DonatjUAParser
v0.5.0
MOT-V3i closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
iTunes 08.22.09close MotorolaV3imobile-browseryescloseclose0.18902 Detail
PiwikDeviceDetector
3.5.2
MotorolaV3ismartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
iTunes 8.22.9close MotorolaV3i_iTunescloseclosecloseclose0.01 Detail
UserAgentStringCom
MIB close closecloseclosecloseclose0.05201 Detail
WhatIsMyBrowserCom
Opera Mini 8.22.09R MotorolaMotorola V3icloseclosecloseclosecloseclose0.40704 Detail
WhichBrowser
2.0.10
iTunes 08.22.09 MotorolaV3imobile:featureyescloseclose0.038 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close MotorolaRAZR V3iFeature Phoneyescloseclose0.038 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 13:25:31 | by ThaDafinser