User agent detail

Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.89 Vivaldi/1.0.83.38 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-638.php
Vivaldi 1.0Blink unknownWin7 6.1unknownWindows DesktopDesktop0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_ua.yaml
Vivaldi 1.0.83close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Vivaldi 1.0Blink Win7 6.1Desktop0.037 Detail
BrowscapLite
6014
Chrome 40.0closeWin7 closecloseDesktopcloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Vivaldi 1.0closeWin7 closecloseDesktopclose0.011 Detail
DonatjUAParser
v0.5.1
Vivaldi 1.0.83.38closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 40.0.2214.89closeWindows 6.1closecloseclosecloseclose0.007 Detail
NeutrinoApiCom

Chrome 40.0.2214.89closeWindows 6.1desktop-browsercloseclose0.23801 Detail
PiwikDeviceDetector
3.6.1
Vivaldi 1.0Blink Windows 7desktop0.009 Detail
SinergiBrowserDetector
6.0.1
Vivaldi 1.0.83.38closeWindows 7closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Vivaldi 1.0.83closeWindows 7 closeclosecloseclose0.008 Detail
UserAgentApiCom

Chrome 40.0.2214.89WebKit 537.36closeclosecloseDesktopclosecloseclose0.16801 Detail
UserAgentStringCom

Chrome 40.0.2214.89closeWindows 7 closecloseclosecloseclose0.063 Detail
WhatIsMyBrowserCom

Vivaldi 1.0.83.38WebKit 537.36Windows Windows NT 6.1closeclosecloseclosecloseclose0.24101 Detail
WhichBrowser
v2.0.18
Vivaldi 1.0Blink Windows 7desktopcloseclose0.001 Detail
Woothee
v1.2.0
Chrome 40.0.2214.89closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 40.0.2214.89closeWindows 7Desktopcloseclose0.019 Detail
Zsxsoft
1.3
Vivaldi 1.0.83.38closeWindows 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 07:56:00 | by ThaDafinser