User agent detail

Opera/9.80 (Linux mips; U; xx) Presto/2.10.287 Version/12.00 DuneHD/1.0 (tv102; 130515_2104_b6) CE-HTML/1.0 NETRANGEMMH
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 Dune HDtv102tvcloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/television/other.yaml
Opera Devices 3.2Presto 2.10.287 TV-102televisionclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 12.00Presto 2.12Linux Desktop0.007 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 closecloseclosecloseclose0.003 Detail
NeutrinoApiCom

Opera 9.80closeLinux media-playercloseclose0.20601 Detail
PiwikDeviceDetector
3.6.1
Opera 12.00Presto GNU/Linux Dune HDtv102tv0.003 Detail
SinergiBrowserDetector
6.0.1
Opera 12.00 DuneHD/1.0 (tv102; 130515_2104_b6) CE-HTML/1.0 NETRANGEMMHcloseLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Opera 12.0closeLinux closeclosecloseclose0.005 Detail
UserAgentApiCom

Opera 12.00Presto 2.10.287closeclosecloseDesktopclosecloseclose0.14901 Detail
UserAgentStringCom

Opera 12.00closeLinux closecloseclosecloseclose0.059 Detail
WhatIsMyBrowserCom

Opera 12.0Presto 2.10.287Linux closeclosecloseclosecloseclose0.24001 Detail
WhichBrowser
v2.0.18
Opera Devices 3.2Presto 2.10.287 Dune HDTV-102televisioncloseclose0.001 Detail
Woothee
v1.2.0
Opera 12.00closeclosecloseclosepcclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Opera 12.00closeLinux mips SmartTVSmart-TVcloseclose0.017 Detail
Zsxsoft
1.3
Opera 12.00closeGNU/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 08:10:53 | by ThaDafinser