User agent detail

Opera/9.80 (Linux armv7l ; U; HbbTV/1.1.1 (; TOSHIBA; 55WL863; 19.5.61.15; 3; ) ; ToshibaTP/1.3.0 (+VIDEO_X_MS_ASF+VIDEO_MP4+AUDIO_MPEG+AUDIO_MP4+DRM+3D) ; de) Presto/2.6.33 Version/10.60
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/tv.yml
Opera 10.60Presto GNU/Linux Toshiba55WL863tvcloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/television/toshiba.yaml
Opera Devices 2.8Presto 2.6.33 Regza WL863televisionclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 10.60Presto 2.2Linux Desktop0.018 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Opera 10.60closeLinux closecloseDesktopclose0.027 Detail
DonatjUAParser
v0.5.1
Opera 10.60closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 10.60closeLinux closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Opera 10.60closeLinux media-playercloseclose0.25201 Detail
PiwikDeviceDetector
3.6.1
Opera 10.60Presto GNU/Linux Toshiba55WL863tv0.003 Detail
SinergiBrowserDetector
6.0.1
Opera 10.60closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
HbbTV 1.1.1closeLinux TOSHIBA55WL863closeclosecloseclose0.005 Detail
UserAgentApiCom

Opera 10.60Presto 2.6.33closeclosecloseDesktopclosecloseclose0.17401 Detail
UserAgentStringCom

Opera 10.60closeLinux closecloseclosecloseclose0.07801 Detail
WhatIsMyBrowserCom

Opera 10.60Presto 2.6.33Linux closeclosecloseclosecloseclose0.33602 Detail
WhichBrowser
v2.0.18
Opera Devices 2.8Presto 2.6.33 ToshibaRegza WL863 Smart TVtelevisioncloseclose0.002 Detail
Woothee
v1.2.0
Opera 10.60closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 10.60closeLinux armv7l SmartTVSmart-TVcloseclose0.016 Detail
Zsxsoft
1.3
Opera 10.60closeGNU/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 08:06:01 | by ThaDafinser