User agent detail

Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/532.5 (KHTML, like Gecko) Comodo_Dragon/4.1.1.11 Chrome/4.1.249.1042 Safari/532.5
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-900.php
Dragon 4.1WebKit unknownWinXP 5.1unknownWindows DesktopDesktop0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_os.yaml
closeWindows XP closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Dragon 4.1WebKit WinXP 5.1Desktop0.11501 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Dragon 4.1closeWinXP closecloseDesktopclose0.012 Detail
DonatjUAParser
v0.5.1
Chrome 4.1.249.1042closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 4.1.249.1042closeWindows 5.1closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Comodo Dragon 4.1.1.11closeWindows 5.1desktop-browsercloseclose0.19901 Detail
PiwikDeviceDetector
3.6.1
Comodo Dragon 4.1WebKit Windows XPdesktop0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 4.1.249.1042closeWindows XPclosecloseclosecloseclose0 Detail
UAParser
v3.4.5
Comodo Dragon 4.1.1closeWindows XP closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 4.1.249.1042WebKit 532.5closeclosecloseDesktopclosecloseclose0.15201 Detail
UserAgentStringCom

Comodo_Dragon 4.1.1.11closeWindows XP closecloseclosecloseclose0.071 Detail
WhatIsMyBrowserCom

Comodo Dragon 4.1.1.11WebKit 532.5Windows Windows NT 5.1closeclosecloseclosecloseclose0.24201 Detail
WhichBrowser
v2.0.18
Comodo Dragon 4.1Webkit 532.5Windows XPdesktopcloseclose0.006 Detail
Woothee
v1.2.0
Chrome 4.1.249.1042closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 4.1.249.1042closeWindows XPDesktopcloseclose0.02 Detail
Zsxsoft
1.3
Comodo Dragon 4.1.1.11closeWindows XPcloseclosecloseclosecloseclose0.001 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 08:10:50 | by ThaDafinser