User agent detail

Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.95 YaBrowser/13.10.1500.9323 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/desktop.yml
Yandex Browser 13.10.1500.9323Blink Windows 8desktopcloseclose0 Detail
Providers
BrowscapFull
6014
Yandex Browser 13.10Blink Win8 6.2Desktop0.012 Detail
BrowscapLite
6014
Chrome closeWin8 closecloseDesktopcloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Yandex Browser 13.10closeWin8 closecloseDesktopclose0.009 Detail
DonatjUAParser
v0.5.1
Chrome 28.0.1500.95closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 28.0.1500.95closeWindows 6.2closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Yandex.Browser 13.10.1500.9323closeWindows 6.2desktop-browsercloseclose0.21401 Detail
PiwikDeviceDetector
3.6.1
Yandex Browser 13.10Blink Windows 8desktop0.003 Detail
SinergiBrowserDetector
6.0.1
Yandex 13.10.1500.9323closeWindows 8closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Yandex Browser 13.10.1500closeWindows 8 closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 28.0.1500.95WebKit 537.36closeclosecloseDesktopclosecloseclose0.15201 Detail
UserAgentStringCom

ABrowse closeWindows 8 closecloseclosecloseclose0.079 Detail
WhatIsMyBrowserCom

Yandex Browser 13.10.1500.9323WebKit 537.36Windows Windows NT 6.2closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Yandex Browser 13.10Blink Windows 8desktopcloseclose0.002 Detail
Woothee
v1.2.0
Chrome 28.0.1500.95closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 28.0.1500.95closeWindows 8Desktopcloseclose0.017 Detail
Zsxsoft
1.3
Yandex.Browser 13.10.1500.9323closeWindows 8closeclosecloseclosecloseclose0.001 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 08:08:51 | by ThaDafinser