User agent detail

Mozilla/5.0 (Linux; Tizen 2.2.0; SC-03F) AppleWebKit/537.36 (KHTML, like Gecko) Version/2.2 Chrome/34.0.1847.76 efl-webengine/0.1.1.1 Mobile Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-tizen.yaml
Blink Tizen 2.2.0ZeQmobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Samsung WebView 2.2WebKit Tizen 2.2Mobile Phoneyesyes0.012 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Samsung WebView 2.2closeTizen closecloseMobile Phoneyesyesclose0.007 Detail
DonatjUAParser
v0.5.1
Chrome 34.0.1847.76closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 34.0.1847.76closeLinux closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome Mobile 34.0.1847.76closeLinux SamsungZeQmobile-browseryescloseclose0.21101 Detail
PiwikDeviceDetector
3.6.1
Chrome 34.0Blink Tizen 2.2SuperSonicSC-03Ftabletyes0.002 Detail
SinergiBrowserDetector
6.0.1
Chrome 34.0.1847.76closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 34.0.1847closeLinux closeclosecloseclose0.006 Detail
UserAgentApiCom

Chrome 34.0.1847.76WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Chrome 34.0.1847.76closeLinux closecloseclosecloseclose0.064 Detail
WhatIsMyBrowserCom

Chrome 34.0.1847.76WebKit 537.36Linux closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Blink Tizen 2.2.0SamsungZeQmobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 34.0.1847.76closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 34.0.1847.76closeLinux TizenFeature Phoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 34.0.1847.76closeTizen closeclosecloseclosecloseclose0.001 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 07:57:46 | by ThaDafinser