User agent detail

Mozilla/5.0 (Linux armv7l) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36 OPR/25.0.1620.0 OMI/4.3.18.7.Dominik.0 VSTVB MB100 HbbTV/1.2.1 (; PANASONIC; MB100; 0.1.19.8; ;) SmartTvA/3.0.0 UID(00:09:DF:A9:CF:EC/MB100/PANASONIC/0.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/television/browser-opera.yaml
Opera Devices 4.3Blink MB100televisionclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 25.0Blink Linux Desktop0.08101 Detail
BrowscapLite
6014
Chrome closeLinux closecloseDesktopcloseclosecloseclose0.011 Detail
BrowscapPhp
6014
Opera 25.0closeLinux closecloseDesktopclose0.017 Detail
DonatjUAParser
v0.5.1
Opera Next 25.0.1620.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 25.0.1620.0closeLinux closecloseclosecloseclose0.005 Detail
NeutrinoApiCom

Opera 25.0.1620.0closeLinux media-playercloseclose0.21301 Detail
PiwikDeviceDetector
3.6.1
Opera 25.0Blink GNU/Linux Panasonictv0.004 Detail
SinergiBrowserDetector
6.0.1
Opera 25.0.1620.0closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
HbbTV 1.2.1closeLinux PANASONICMB100closeclosecloseclose0.003 Detail
UserAgentApiCom

Opera 25.0.1620.0WebKit 537.36closeclosecloseMobileclosecloseclose0.15901 Detail
UserAgentStringCom

Chrome 38.0.2125.122closeLinux closecloseclosecloseclose0.066 Detail
WhatIsMyBrowserCom

Opera 25.0.1620.0WebKit 537.36Linux closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Opera Devices 4.3Blink PanasonicMB100televisioncloseclose0.002 Detail
Woothee
v1.2.0
Opera 25.0.1620.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 25.0.1620.0closeLinux armv7l SmartTVSmart-TVcloseclose0.016 Detail
Zsxsoft
1.3
Maple Browser closeGNU/Linux Samsung Smart TVcloseclosecloseclosecloseclose0.001 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 08:07:36 | by ThaDafinser