User agent detail

Opera/9.80 (Linux mips; U; ; xx) Presto/2.10.287 Version/12.00 HbbTV/1.1.1 (; CUS:SHARP; MB95; 2.1.9.o; 1.0;) CE-HTML/1.0 NETRANGEMMH iplayerV3
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/tv.yml
Opera 12.00Presto GNU/Linux SharpMB95tvcloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/television/browser-opera.yaml
Opera Devices 3.2Presto 2.10.287 MB95televisionclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 12.00Presto 2.12Linux Desktop0.006 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Opera 12.00closeLinux closecloseDesktopclose0.009 Detail
DonatjUAParser
v0.5.1
Opera 12.00closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Opera 12.00closeLinux closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Opera 9.80closeLinux media-playercloseclose0.20401 Detail
PiwikDeviceDetector
3.6.1
Opera 12.00Presto GNU/Linux SharpMB95tv0.005 Detail
SinergiBrowserDetector
6.0.1
Opera 12.00 HbbTV/1.1.1 (; CUS:SHARP; MB95; 2.1.9.o; 1.0;) CE-HTML/1.0 NETRANGEMMH iplayerV3closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
HbbTV 1.1.1closeLinux SHARPMB95closeclosecloseclose0.004 Detail
UserAgentApiCom

Opera 12.00Presto 2.10.287closeclosecloseMobileclosecloseclose0.16001 Detail
UserAgentStringCom

Opera 12.00closeLinux closecloseclosecloseclose0.065 Detail
WhatIsMyBrowserCom

Opera 12.0Presto 2.10.287Linux closeclosecloseclosecloseclose0.24301 Detail
WhichBrowser
v2.0.18
Opera Devices 3.2Presto 2.10.287 SharpMB95televisioncloseclose0.002 Detail
Woothee
v1.2.0
Opera 12.00closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 12.00closeLinux mips SmartTVSmart-TVcloseclose0.016 Detail
Zsxsoft
1.3
Opera 12.00closeGNU/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 08:07:20 | by ThaDafinser