User agent detail

Mozilla/5.0 (MOT-EX200/Rockies_MOTO_V2.000;U;REX/1.0;BREW/3.1.5;Profile/MIDP-2.0 Configuration/CLDC-1.1;240*400;CTC/2.0) NetFront/3.5
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
MotorolaEX200 Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.103 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
NetFront 3.5close AccessNetFront Ver. 3.5mobile-browseryescloseclose0.20012 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront Brew 3.1MotorolaEX200smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.002 Detail
UAParser
v3.4.5
NetFront 3.5closeBREW 3.1.5MotorolaEX200closeclosecloseclose0.008 Detail
UserAgentStringCom
NetFront 3.5close closecloseclosecloseclose0.06304 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.41425 Detail
WhichBrowser
2.0.10
NetFront 3.5 Brew 3.1.5MotorolaEX200mobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.5close AccessNetFront Ver. 3.5Feature Phoneyescloseclose0.041 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 13:37:16 | by ThaDafinser