User agent detail

MOT-MOTORAZRV9/1 BER2.2 Mozilla/4.0 (compatible; MSIE 6.0; 14183237) Profile/MIDP-2.0 Configuration/CLDC-1.1 Opera 8.00 [en]
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
MotorolaMOTORAZRV9 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
Opera 8.00closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Opera 8.00close desktop-browsercloseclose0.21902 Detail
PiwikDeviceDetector
3.5.2
Opera 8.00Presto MotorolaMOTORAZRV9smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
Opera 8.00close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Opera 8.0close MotorolaMOTORAZRV9closeclosecloseclose0.011 Detail
UserAgentStringCom
Opera 8.00close closecloseclosecloseclose0.057 Detail
WhatIsMyBrowserCom
Opera 8.0 DROID RAZRcloseclosecloseclosecloseclose0.40704 Detail
WhichBrowser
2.0.10
Opera Mini MotorolaMOTORAZRV9mobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
Internet Explorer 6.0closecloseclosecloseclosecloseclose0.001 Detail
Wurfl
1.6.4
Java Applet close MotorolaV9Feature Phoneyescloseclose0.065 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 13:29:04 | by ThaDafinser