User agent detail

Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.3a1) Gecko/20100208 MozillaDeveloperPreview/3.7a1 (.NET CLR 3.5.30729)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_os.yaml
closeWindows 7 closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
No result found
JenssegersAgent
v2.3.3
Mozilla 1.9.3a1closeWindows 6.1closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Mozilla rv:1.9.3closeWindows 6.1desktop-browsercloseclose0.21501 Detail
PiwikDeviceDetector
3.6.1
Windows 7desktop0.004 Detail
SinergiBrowserDetector
6.0.1
Mozilla 1.9closeWindows 7closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
MozillaDeveloperPreview 3.7.0closeWindows 7 closeclosecloseclose0.001 Detail
UserAgentApiCom

Mozilla 5.0Gecko 1.9.3closeclosecloseDesktopclosecloseclose0.15201 Detail
UserAgentStringCom

Mozilla 1.9.3a1closeWindows 7 closecloseclosecloseclose0.06 Detail
WhatIsMyBrowserCom

Mozilla 1.9.3a1Gecko 20100208Windows Windows NT 6.1closeclosecloseclosecloseclose0.23901 Detail
WhichBrowser
v2.0.18
Gecko 1.9.3a1Windows 7desktopcloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
close Desktopcloseclose0.017 Detail
Zsxsoft
1.3
Mozilla Developer Preview 3.7a1closeWindows 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 08:01:05 | by ThaDafinser