User agent detail

Mozilla/5.0 (DirectFB; Linux armv7l) AppleWebKit/534.26+ (KHTML, like Gecko) Version/5.0 Safari/534.26+ HbbTV/1.1.1 ( ;LGE ;NetCast 3.0 ;1.0 ;1.0M ;)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/tv.yml
Safari 5.0WebKit GNU/Linux LGNetCast 3.0tvcloseclose0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close LGNetCast 3.0closecloseclosecloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/television/lg.yaml
Webkit 534.26 televisionclosecloseclose0 Detail
Providers
BrowscapFull
6014
Safari 5.0WebKit Linux Desktop0.014 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.006 Detail
BrowscapPhp
6014
Safari 5.0closeLinux closecloseDesktopclose0.017 Detail
DonatjUAParser
v0.5.1
Safari 5.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 5.0closeLinux closecloseclosecloseclose0.003 Detail
NeutrinoApiCom

Safari 5.0closeLinux media-playercloseclose0.20701 Detail
PiwikDeviceDetector
3.6.1
Safari 5.0WebKit GNU/Linux LGNetCast 3.0tv0.003 Detail
SinergiBrowserDetector
6.0.1
Safari 5.0closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
HbbTV 1.1.1closeLG 2012LGNetCast 3.0closeclosecloseclose0.005 Detail
UserAgentApiCom

Safari 534.26WebKit 534.26closeclosecloseDesktopclosecloseclose0.15201 Detail
UserAgentStringCom

Safari 5.0closeLinux closecloseclosecloseclose0.11801 Detail
WhatIsMyBrowserCom

WebKit 534.26Linux closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
Webkit 534.26 LGNetCast TV 2012televisioncloseclose0.002 Detail
Woothee
v1.2.0
Safari 5.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Safari 5.0closeDirectFB SmartTVSmart-TVcloseclose0.016 Detail
Zsxsoft
1.3
Safari 5.0closeGNU/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 08:08:22 | by ThaDafinser