User agent detail

Mozilla/5.0 (Linux armv7l) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36 OPR/22.0.1481.0 OMI/4.2.12.31.Vespa2.0 MB100/0.0.20.0 (OEM, Si2158LG32, wired) HbbTV/1.2.1 (; CUS:OEM; MB100; 0.0.20.0; 1.0;) CE-HTML/1.0 NETRANGEMMH ipl
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/television/other.yaml
Opera Devices 4.2Blink MB100televisionclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 22.0Blink Linux Desktop0.11801 Detail
BrowscapLite
6014
Chrome closeLinux closecloseDesktopcloseclosecloseclose0.012 Detail
BrowscapPhp
6014
Opera 22.0closeLinux closecloseDesktopclose0.042 Detail
DonatjUAParser
v0.5.1
Opera Next 22.0.1481.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 22.0.1481.0closeLinux closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Opera 22.0.1481.0closeLinux media-playercloseclose0.23601 Detail
PiwikDeviceDetector
3.6.1
Opera 22.0Blink GNU/Linux tv0.007 Detail
SinergiBrowserDetector
6.0.1
Opera 22.0.1481.0closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
HbbTV 1.2.1closeLinux OEMMB100closeclosecloseclose0.008 Detail
UserAgentApiCom

Opera 22.0.1481.0WebKit 537.36closeclosecloseDesktopclosecloseclose0.16801 Detail
UserAgentStringCom

Chrome 35.0.1916.153closeLinux closecloseclosecloseclose0.083 Detail
WhatIsMyBrowserCom

Opera 22.0.1481.0WebKit 537.36Linux closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
Opera Devices 4.2Blink OEMMB100 Smart TVtelevisioncloseclose0.002 Detail
Woothee
v1.2.0
Opera 22.0.1481.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 22.0.1481.0closeLinux armv7l SmartTVSmart-TVcloseclose0.017 Detail
Zsxsoft
1.3
Opera 22.0.1481.0closeGNU/Linux LGcloseclosecloseclosecloseclose0 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 07:55:50 | by ThaDafinser