User agent detail

Mozilla/5.0 (Linux; BRAVIA 2015 Build/LGZ23.S49) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36 OPR/28.0.1754.0 OMI/4.4.22.20.E102586-1.98
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/television/sony.yaml
Opera Devices 4.4Blink Android TV Bravia Android TV (2015)televisionclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 28.0Blink Linux Desktop0.10701 Detail
BrowscapLite
6014
Opera 28.0closeLinux closecloseDesktopcloseclosecloseclose0.013 Detail
BrowscapPhp
6014
Opera 28.0closeLinux closecloseDesktopclose0.03 Detail
DonatjUAParser
v0.5.1
Opera Next 28.0.1754.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 28.0.1754.0closeLinux closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Opera 28.0.1754.0closeLinux media-playercloseclose0.27202 Detail
PiwikDeviceDetector
3.6.1
Opera 28.0Blink GNU/Linux LGZ23smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Opera 28.0.1754.0closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Opera 28.0.1754closeLinux closeclosecloseclose0.002 Detail
UserAgentApiCom

Opera 28.0.1754.0WebKit 537.36closeclosecloseDesktopclosecloseclose0.15001 Detail
UserAgentStringCom

Chrome 41.0.2272.101closeLinux closecloseclosecloseclose0.10201 Detail
WhatIsMyBrowserCom

Opera 28.0.1754.0WebKit 537.36Linux closeclosecloseclosecloseclose0.74104 Detail
WhichBrowser
v2.0.18
Opera Devices 4.4Blink Android TV SonyBravia Android TV (2015)televisioncloseclose0 Detail
Woothee
v1.2.0
Opera 28.0.1754.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 41.0.2272.101closeLinux SmartTVSmart-TVcloseclose0.017 Detail
Zsxsoft
1.3
Opera 28.0.1754.0closeGNU/Linux LGcloseclosecloseclosecloseclose0.001 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 08:08:30 | by ThaDafinser