User agent detail

[FBAN/FB4A;FBAV/3.8;FBBV/495510;FBDM/{density=1.5,width=480,height=800};FBLC/de_DE;FBCR/Lidl mobile;FBPN/com.facebook.katana;FBDV/HTC One SV;FBSV/4.1.2;FBCA/armeabi-v7a:armeabi;]
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
HTCOne SV Detail
Providers
BrowscapPhp
6012
Facebook App WebKit Mobile Phoneyesyes0.05501 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
Facebook close HTCOne SVmobile-browseryescloseclose0.19202 Detail
PiwikDeviceDetector
3.5.2
Facebook 3.8 HTCOne SVsmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Facebook 3.8close HTCOne SVcloseclosecloseclose0.003 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
HTC One SVcloseclosecloseclosecloseclose0.40704 Detail
WhichBrowser
2.0.10
Facebook HTCOne SVmobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Opera 11.10closeLinux armv6l Feature Phoneyescloseclose0.013 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 13:31:07 | by ThaDafinser