User agent detail

Mozilla/5.0 (Linux armv7l) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.107 Safari/537.36 OPR/19.0.1325.0 OMI/4.1.4.56.ALSAN3.7 SonyCEBrowser/1.0 (BDPlayer; BDP10G_AX; BDP2015/M24.D.0104; XAE;)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/television/sony.yaml
Opera Devices 4.1Blink BDP10Gtelevisionclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 19.0Blink Linux Desktop0.042 Detail
BrowscapLite
6014
Chrome closeLinux closecloseDesktopcloseclosecloseclose0.011 Detail
BrowscapPhp
6014
Opera 19.0closeLinux closecloseDesktopclose0.019 Detail
DonatjUAParser
v0.5.1
Opera Next 19.0.1325.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 19.0.1325.0closeLinux closecloseclosecloseclose0.002 Detail
NeutrinoApiCom

Opera 19.0.1325.0closeLinux media-playercloseclose0.21601 Detail
PiwikDeviceDetector
3.6.1
Opera 19.0Blink GNU/Linux SonyCEBrowsersmartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.1
Opera 19.0.1325.0closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Opera 19.0.1325closeLinux SonyCEBrowsercloseclosecloseclose0.004 Detail
UserAgentApiCom

Opera 19.0.1325.0WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Chrome 32.0.1700.107closeLinux closecloseclosecloseclose0.064 Detail
WhatIsMyBrowserCom

Opera 19.0.1325.0WebKit 537.36Linux closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Opera Devices 4.1Blink SonyBDP10G Blu-ray Playertelevisioncloseclose0.003 Detail
Woothee
v1.2.0
Opera 19.0.1325.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 19.0.1325.0closeLinux armv7l SmartTVSmart-TVcloseclose0.015 Detail
Zsxsoft
1.3
Opera 19.0.1325.0closeGNU/Linux closeclosecloseclosecloseclose0.001 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 07:56:56 | by ThaDafinser