User agent detail

Opera/9.80 (Linux sh4; U; HbbTV/1.1.1 (;;;;;); CE-HTML; TechniSat DigiCorder ISIO C; de) Presto/2.9.167 Version/11.50
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/tv.yml
Opera 11.50Presto GNU/Linux TechniSatDigiCorder ISIO Ctvcloseclose0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close TechniSatDigiCorder ISIO Cclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 11.50Presto 2.9Linux Desktop0.007 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Opera 11.50closeLinux closecloseDesktopclose0.01 Detail
DonatjUAParser
v0.5.1
Opera 11.50closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 11.50closeLinux closecloseclosecloseclose0 Detail
NeutrinoApiCom

Opera 11.50closeLinux media-playercloseclose0.20401 Detail
PiwikDeviceDetector
3.6.1
Opera 11.50Presto GNU/Linux TechniSatDigiCorder ISIO Ctv0.005 Detail
SinergiBrowserDetector
6.0.1
Opera 11.50closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
HbbTV 1.1.1closeLinux TechniSatDigiCorder ISIO Ccloseclosecloseclose0.003 Detail
UserAgentApiCom

Opera 11.50Presto 2.9.167closeclosecloseDesktopclosecloseclose0.14901 Detail
UserAgentStringCom

Opera 11.50closeLinux closecloseclosecloseclose0.06 Detail
WhatIsMyBrowserCom

Opera 11.50Presto 2.9.167Linux closeclosecloseclosecloseclose0.24401 Detail
WhichBrowser
v2.0.18
Opera Devices 3.1Presto 2.9.167 TechniSatDigiCorder ISIO Ctelevisioncloseclose0.001 Detail
Woothee
v1.2.0
Opera 11.50closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 11.50closeLinux sh4 SmartTVSmart-TVcloseclose0.016 Detail
Zsxsoft
1.3
Opera 11.50closeGNU/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 08:04:40 | by ThaDafinser