User agent detail

[FBAN/FB4A;FBAV/3.9;FBBV/666389;FBDM/{density=1.0,width=320,height=480};FBLC/en_US;FBCR/o2 - de;FBPN/com.facebook.katana;FBDV/HTC Desire 200;FBSV/4.0.3;FBOP/18;FBCA/armeabi-v7a:armeabi;]
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close HTCDesire 200closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Facebook App WebKit Mobile Phoneyesyes0.029 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Facebook App close closecloseMobile Phoneyesyesclose0.057 Detail
DonatjUAParser
v0.5.1
No result found
JenssegersAgent
v2.3.3
close closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Facebook close HTCDesire 200mobile-browseryescloseclose0.24901 Detail
PiwikDeviceDetector
3.6.1
Facebook 3.9 HTCDesire 200smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
Facebook 3.9close HTCDesire 200closeclosecloseclose0.001 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

No result found
WhatIsMyBrowserCom

HTC Desirecloseclosecloseclosecloseclose0.24101 Detail
WhichBrowser
v2.0.18
Facebook HTCDesire 200mobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
close Feature Phoneyescloseclose0.024 Detail
Zsxsoft
1.3
Facebook 3.9close HTC Desirecloseclosecloseclosecloseclose0 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 2016-05-10 07:53:08 | by ThaDafinser