User agent detail

Opera/9.80 (Linux armv7l ; U; HbbTV/1.1.1 (; TOSHIBA; 55ZL1; 19.7.61.14; 3; ) ; ToshibaTP/1.3.0 (+VIDEO_MP4+AUDIO_MPEG+AUDIO_MP4) ; 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 Toshiba55ZL1tvcloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/television/toshiba.yaml
Opera Devices 2.8Presto 2.6.33 ZL1 Cevotelevisionclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 10.60Presto 2.2Linux Desktop0.008 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Opera 10.60closeLinux closecloseDesktopclose0.014 Detail
DonatjUAParser
v0.5.1
Opera 10.60closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Opera 10.60closeLinux closecloseclosecloseclose0.005 Detail
NeutrinoApiCom

Opera 10.60closeLinux media-playercloseclose0.23301 Detail
PiwikDeviceDetector
3.6.1
Opera 10.60Presto GNU/Linux Toshiba55ZL1tv0.004 Detail
SinergiBrowserDetector
6.0.1
Opera 10.60closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
HbbTV 1.1.1closeLinux TOSHIBA55ZL1closeclosecloseclose0.003 Detail
UserAgentApiCom

Opera 10.60Presto 2.6.33closeclosecloseDesktopclosecloseclose0.15301 Detail
UserAgentStringCom

Opera 10.60closeLinux closecloseclosecloseclose0.07801 Detail
WhatIsMyBrowserCom

Opera 10.60Presto 2.6.33Linux closeclosecloseclosecloseclose0.24601 Detail
WhichBrowser
v2.0.18
Opera Devices 2.8Presto 2.6.33 ToshibaZL1 Cevo Smart TVtelevisioncloseclose0.003 Detail
Woothee
v1.2.0
Opera 10.60closeclosecloseclosepcclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Opera 10.60closeLinux armv7l SmartTVSmart-TVcloseclose0.015 Detail
Zsxsoft
1.3
Opera 10.60closeGNU/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 07:53:26 | by ThaDafinser