User agent detail

Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 YaBrowser/15.10.2454.3865 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-855.php
Yandex Browser 15.10Blink unknownWin10 10.0unknownWindows DesktopDesktop0 Detail
Providers
BrowscapFull
6014
Yandex Browser 15.10Blink Win10 10.0Desktop0.011 Detail
BrowscapLite
6014
Chrome 45.0closeWin10 closecloseDesktopcloseclosecloseclose0.004 Detail
BrowscapPhp
6014
Yandex Browser 15.10closeWin10 closecloseDesktopclose0.006 Detail
DonatjUAParser
v0.5.1
Chrome 45.0.2454.101closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 45.0.2454.101closeWindows 10.0closecloseclosecloseclose0.004 Detail
NeutrinoApiCom

Yandex.Browser 15.10.2454.3865closeWindows 10.0desktop-browsercloseclose0.20901 Detail
PiwikDeviceDetector
3.6.1
Yandex Browser 15.10Blink Windows 10desktop0.008 Detail
SinergiBrowserDetector
6.0.1
Yandex 15.10.2454.3865closeWindows 10.0closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Yandex Browser 15.10.2454closeWindows 10 closeclosecloseclose0.009 Detail
UserAgentApiCom

Chrome 45.0.2454.101WebKit 537.36closeclosecloseDesktopclosecloseclose0.15401 Detail
UserAgentStringCom

ABrowse closeWindows 10 closecloseclosecloseclose0.29002 Detail
WhatIsMyBrowserCom

Yandex Browser 15.10.2454.3865WebKit 537.36Windows Windows NT 10.0closeclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
Yandex Browser 15.10Blink Windows 10desktopcloseclose0.006 Detail
Woothee
v1.2.0
Chrome 45.0.2454.101closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 45.0.2454.101closeWindows 10Desktopcloseclose0.018 Detail
Zsxsoft
1.3
Yandex.Browser 15.10.2454.3865closeWindows 10closeclosecloseclosecloseclose0.001 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 08:07:37 | by ThaDafinser