User agent detail

Opera/9.80 (Linux i686; HbbTV/1.1.1 (+PVR; BANGOLUFSEN; A3; ; ; ) CE-HTML/1.0 NETTV/4.3.9) Presto/2.12.407 Version/12.50 A3/1.0.5.33043 (BANGOLUFSEN, A3, wired)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close BANGOLUFSENA3closecloseclosecloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/television/other.yaml
Opera Devices 3.4Presto 2.12.407 A3televisionclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 12.50Presto 2.12Linux Desktop0.0156 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Opera 12.50closeLinux closecloseDesktopclose0.0156 Detail
DonatjUAParser
v0.5.1
Opera 12.50closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 12.50closeLinux closecloseclosecloseclose0 Detail
NeutrinoApiCom

Opera 9.80closeLinux media-playercloseclose0.2028 Detail
PiwikDeviceDetector
3.6.1
Opera 12.50Presto GNU/Linux BangOlufsenBeoVisiontv0 Detail
SinergiBrowserDetector
6.0.1
Opera 12.50 A3/1.0.5.33043 (BANGOLUFSEN, A3, wired)closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
HbbTV 1.1.1closeLinux BANGOLUFSENA3closeclosecloseclose0 Detail
UserAgentApiCom

Opera 12.50Presto 2.12.407closeclosecloseDesktopclosecloseclose0.156 Detail
UserAgentStringCom

Opera 12.50closeLinux closecloseclosecloseclose0.1092 Detail
WhatIsMyBrowserCom

Opera 12.50Presto 2.12.407Linux closeclosecloseclosecloseclose0.2652 Detail
WhichBrowser
v2.0.18
Opera Devices 3.4Presto 2.12.407 Bang & OlufsenA3 Smart TVtelevisioncloseclose0 Detail
Woothee
v1.2.0
Opera 12.50closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 12.50closeLinux i686 SmartTVSmart-TVcloseclose0.0156 Detail
Zsxsoft
1.3
Opera 12.50closeGNU/Linux closeclosecloseclosecloseclose0 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 07:50:26 | by ThaDafinser