User agent detail

AMOI-V810 NetFront/3.2
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
AmoiV810 Detail
Providers
BrowscapPhp
6012
NetFront 3.2NetFront Mobile Deviceyes0.01901 Detail
DonatjUAParser
v0.5.0
AMOI-V810 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.2close AmoiV810mobile-browseryescloseclose0.18304 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.2NetFront AmoiV810smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.2close AmoiV810closeclosecloseclose0.005 Detail
UserAgentStringCom
NetFront 3.2close closecloseclosecloseclose0.08302 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.40808 Detail
WhichBrowser
2.0.10
NetFront 3.2 AmoiV810mobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.2close AmoiV810Feature Phoneyescloseclose0.03501 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 13:41:51 | by ThaDafinser