User agent detail

Mozilla/5.0 (Windows NT 6.3; Trident/7.0; rv:11.0) like Gecko
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/donatj/phpuseragentparser/Tests/user_agents.json
MSIE 11.0 0 Detail
JenssegersAgent
v2.3.3
vendor/jenssegers/agent/tests/AgentTest.php
close 6.3closecloseclose0 Detail
Woothee
v1.3.0
vendor/woothee/woothee-testset/testsets/pc_windows.yaml
Internet Explorer 11.0closeWindows 8.1 NT 6.3closeclosepcclosecloseclose0 Detail
Providers
BrowscapFull
6014
IE 11.0Trident 7.0Win8.1 6.3Desktop0.028 Detail
BrowscapLite
6014
IE 11.0closeWin8.1 closecloseDesktopcloseclosecloseclose0.005 Detail
BrowscapPhp
6014
IE 11.0closeWin8.1 closecloseDesktopclose0.014 Detail
DonatjUAParser
v0.5.1
MSIE 11.0closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
IE 11.0closeWindows 6.3closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

IE 11.0closeWindows 6.3desktop-browsercloseclose0.20501 Detail
PiwikDeviceDetector
3.6.1
Internet Explorer 11.0Trident Windows 8.1desktop0.005 Detail
SinergiBrowserDetector
6.0.1
Internet Explorer 11.0closeWindows 8.1closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
IE 11.0closeWindows 8.1 closeclosecloseclose0.005 Detail
UserAgentApiCom

Internet Explorer 11.0Gecko 11.0closeclosecloseDesktopclosecloseclose0.15101 Detail
UserAgentStringCom

Internet Explorer 11.0closeWindows NT closecloseclosecloseclose0.18101 Detail
WhatIsMyBrowserCom

Internet Explorer 11.0Trident 7.0Windows Windows NT 6.3closeclosecloseclosecloseclose0.25001 Detail
WhichBrowser
v2.0.18
Internet Explorer 11.0Trident 7.0Windows 8.1desktopcloseclose0.002 Detail
Woothee
v1.2.0
Internet Explorer 11.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
IE 11closeWindows 8.1Desktopcloseclose0.019 Detail
Zsxsoft
1.3
Internet Explorer 11.0closeWindows 8.1closeclosecloseclosecloseclose0 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 08:08:12 | by ThaDafinser