User agent detail

MOT-WX450/0.1.26B NetFront FullBrowser/3.5 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
MotorolaWX450 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
MOT-WX450 0.1.26Bcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.5close MotorolaWX450mobile-browseryescloseclose0.197 Detail
PiwikDeviceDetector
3.5.2
NetFront NetFront MotorolaWX450smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close MotorolaWX450closeclosecloseclose0.016 Detail
UserAgentStringCom
NetFront close closecloseclosecloseclose0.046 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.406 Detail
WhichBrowser
2.0.10
NetFront 3.5 MotorolaWX450mobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Opera 11.10closeLinux armv6l Feature Phoneyescloseclose0.016 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 13:35:08 | by ThaDafinser