User agent detail

Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/4.0; Deepnet Explorer 1.5.3; Smart 2x2; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Zsxsoft
1.3
vendor/zsxsoft/php-useragent/tests/UserAgentList.php
Deepnet Explorer 1.5.3closeWindows 7closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Deepnet Explorer 1.5Trident 4.0Win7 6.1Desktop0.01 Detail
BrowscapLite
6014
IE 8.0closeWin7 closecloseDesktopcloseclosecloseclose0.013 Detail
BrowscapPhp
6014
Deepnet Explorer 1.5closeWin7 closecloseDesktopclose0.009 Detail
DonatjUAParser
v0.5.1
MSIE 7.0closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
IE 7.0closeWindows 6.1closecloseclosecloseclose0.002 Detail
NeutrinoApiCom

Deepnet Explorer 1.5.3closeWindows 6.1desktop-browsercloseclose0.21301 Detail
PiwikDeviceDetector
3.6.1
Deepnet Explorer 1.5Trident Windows 7desktop0.004 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 8.0closeWindows 7closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
IE 7.0closeWindows 7 closeclosecloseclose0.006 Detail
UserAgentApiCom

Internet Explorer 7.0Trident 4.0closeclosecloseDesktopclosecloseclose0.15201 Detail
UserAgentStringCom

Deepnet Explorer 1.5.3closeWindows 7 closecloseclosecloseclose0.065 Detail
WhatIsMyBrowserCom

Internet Explorer 8.0Trident 4.0Windows Windows NT 6.1closeclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
Internet Explorer 8.0Trident 4.0Windows 7desktopcloseclose0.004 Detail
Woothee
v1.2.0
Internet Explorer 7.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
IE 7.0closeWindows 7Desktopcloseclose0.016 Detail
Zsxsoft
1.3
Deepnet Explorer 1.5.3closeWindows 7closeclosecloseclosecloseclose0.001 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 08:08:23 | by ThaDafinser