User agent detail

Mozilla/5.0 (Windows NT 6.1; WOW64; rv:24.0) Gecko/20100101 Thunderbird/24.4.0 Lightning/2.6.4
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
browscap/browscap
/tests/fixtures/issues/issue-204.php
Thunderbird 24.4Win7 6.124.0 unknownWindows DesktopDesktop Detail
Providers
BrowscapPhp
6012
Thunderbird 24.4Gecko 24.0Win7 6.1Windows DesktopDesktop0.047 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
Thunderbird 24.4.0closeWindows 6.1email-clientcloseclose0.26903 Detail
PiwikDeviceDetector
3.5.2
Thunderbird 24.4 Windows 7desktop0.007 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0closeWindows 7closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Lightning 2.6.4closeWindows 7 closeclosecloseclose0.008 Detail
UserAgentStringCom
Thunderbird 24.4.0closeWindows 7 closecloseclosecloseclose0.06701 Detail
WhatIsMyBrowserCom
Mozilla 24.0Gecko 20100101Windows Windows NT 6.1closeclosecloseclosecloseclose0.40804 Detail
WhichBrowser
2.0.10
Thunderbird 24.4.0Gecko 24.0Windows 7desktopcloseclose0.009 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0.001 Detail
Wurfl
1.6.4
close Desktopcloseclose0.013 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 2016-02-13 13:28:53 | by ThaDafinser