User agent detail

com.sdgtl.sectime version=1; model=HTC_Flyer_P512_NA fingerPrint=brightstarus_wwe/htc_flyer/flyer:2.3.4/GRJ22/109229.32:user/release-keys
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
HTCFlyer_P512_NA Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
com closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
close HTCFlyer P512 NA fingerPrint=brightstarus wwemobile-browseryescloseclose0.20102 Detail
PiwikDeviceDetector
3.5.2
HTCFlyer P512 NAsmartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close HTCFlyer_P512_NAcloseclosecloseclose0.012 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
HTCcloseclosecloseclosecloseclose0.40504 Detail
WhichBrowser
2.0.10
HTCFlyer P512 NA fingerPrint=brightstarus wwemobile:featureyescloseclose0.022 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Opera 11.10closeLinux armv6l Feature Phoneyescloseclose0.015 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 13:36:20 | by ThaDafinser