User agent detail

Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.102 YaBrowser/14.2.1700.12599 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-261.php
Yandex Browser 14.2Blink unknownWin7 6.1unknownWindows DesktopDesktop0 Detail
Providers
BrowscapFull
6014
Yandex Browser 14.2Blink Win7 6.1Desktop0.09101 Detail
BrowscapLite
6014
Chrome closeWin7 closecloseDesktopcloseclosecloseclose0.011 Detail
BrowscapPhp
6014
Yandex Browser 14.2closeWin7 closecloseDesktopclose0.014 Detail
DonatjUAParser
v0.5.1
Chrome 32.0.1700.102closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 32.0.1700.102closeWindows 6.1closecloseclosecloseclose0.002 Detail
NeutrinoApiCom

Yandex.Browser 14.2.1700.12599closeWindows 6.1desktop-browsercloseclose0.27702 Detail
PiwikDeviceDetector
3.6.1
Yandex Browser 14.2Blink Windows 7desktop0.008 Detail
SinergiBrowserDetector
6.0.1
Yandex 14.2.1700.12599closeWindows 7closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Yandex Browser 14.2.1700closeWindows 7 closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 32.0.1700.102WebKit 537.36closeclosecloseDesktopclosecloseclose0.15201 Detail
UserAgentStringCom

ABrowse closeWindows 7 closecloseclosecloseclose0.069 Detail
WhatIsMyBrowserCom

Yandex Browser 14.2.1700.12599WebKit 537.36Windows Windows NT 6.1closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
Yandex Browser 14.2Blink Windows 7desktopcloseclose0.001 Detail
Woothee
v1.2.0
Chrome 32.0.1700.102closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 32.0.1700.102closeWindows 7Desktopcloseclose0.015 Detail
Zsxsoft
1.3
Yandex.Browser 14.2.1700.12599closeWindows 7closeclosecloseclosecloseclose0 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 07:53:13 | by ThaDafinser