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 (; HHW HAIER; MB100; 0.1.33.5; ;) SmartTvA/3.0.0 UID(00:09:DF:C2:EA:02/MB100/HHW HAIER/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 Desktop0.0312 Detail
BrowscapLite
6014
Chrome closeLinux closecloseDesktopcloseclosecloseclose0 Detail
BrowscapPhp
6014
Opera 25.0closeLinux closecloseDesktopclose0.0156 Detail
DonatjUAParser
v0.5.1
Opera Next 25.0.1620.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 25.0.1620.0closeLinux closecloseclosecloseclose0 Detail
NeutrinoApiCom

Opera 25.0.1620.0closeLinux media-playercloseclose0.234 Detail
PiwikDeviceDetector
3.6.1
Opera 25.0Blink GNU/Linux tv0 Detail
SinergiBrowserDetector
6.0.1
Opera 25.0.1620.0closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
HbbTV 1.2.1closeLinux HHW HAIERMB100closeclosecloseclose0.0156 Detail
UserAgentApiCom

Opera 25.0.1620.0WebKit 537.36closeclosecloseDesktopclosecloseclose0.156 Detail
UserAgentStringCom

Chrome 38.0.2125.122closeLinux closecloseclosecloseclose0.1248 Detail
WhatIsMyBrowserCom

Opera 25.0.1620.0WebKit 537.36Linux closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Opera Devices 4.3Blink HaierMB100televisioncloseclose0 Detail
Woothee
v1.2.0
Opera 25.0.1620.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 25.0.1620.0closeLinux armv7l SmartTVSmart-TVcloseclose0.0156 Detail
Zsxsoft
1.3
Maple Browser closeGNU/Linux Samsung Smart TVcloseclosecloseclosecloseclose0 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 07:51:02 | by ThaDafinser