User agent detail

Mozilla/5.0 (Linux; Tizen 2.2.0; SM-Z9005) AppleWebKit/537.36 (KHTML, like Gecko) Version/2.2 Chrome/34.0.1847.76 efl-webengine/0.1.1.1 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 2.2.0SM-Z9005 prototypemobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Safari WebKit Linux Desktop0.069 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Safari closeLinux closecloseDesktopclose0.047 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 34.0.1847.76closeLinux SamsungSM-Z9005 prototypedesktop-browsercloseclose0.20301 Detail
PiwikDeviceDetector
3.6.1
Chrome 34.0Blink Tizen 2.2SamsungSM-Z9005smartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.1
Chrome 34.0.1847.76closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 34.0.1847closeLinux closeclosecloseclose0.007 Detail
UserAgentApiCom

Chrome 34.0.1847.76WebKit 537.36closeclosecloseDesktopclosecloseclose0.15101 Detail
UserAgentStringCom

Chrome 34.0.1847.76closeLinux closecloseclosecloseclose0.12101 Detail
WhatIsMyBrowserCom

Chrome 34.0.1847.76WebKit 537.36Linux Samsungcloseclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
Blink Tizen 2.2.0SamsungSM-Z9005 prototypemobile:smartyescloseclose0.003 Detail
Woothee
v1.2.0
Chrome 34.0.1847.76closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 34.0.1847.76closeLinux TizenFeature Phoneyesyescloseclose0.016 Detail
Zsxsoft
1.3
Google Chrome 34.0.1847.76closeTizen SamsungZ9005closeclosecloseclosecloseclose0 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 08:06:21 | by ThaDafinser