User agent detail

Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1; 360Spider
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-618.php
yes360SpiderBot/Crawler0 Detail
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/bots.yml
closecloseyes360SpiderSearch bot0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/bots/generic.yaml
closecloseyes360spiderclose0 Detail
Providers
BrowscapFull
6014
yes360SpiderBot/Crawler0.035 Detail
BrowscapLite
6014
Chrome closeWin7 closecloseDesktopcloseclosecloseclose0.008 Detail
BrowscapPhp
6014
close closecloseyes360Spiderclose0.007 Detail
DonatjUAParser
v0.5.1
Chrome 21.0.1180.89closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 21.0.1180.89closeWindows 6.1closecloseclosecloseclose0.001 Detail
NeutrinoApiCom

Chrome 21.0.1180.89closeWindows 6.1desktop-browsercloseclose0.22501 Detail
PiwikDeviceDetector
3.6.1
yes360SpiderSearch bot0.001 Detail
SinergiBrowserDetector
6.0.1
Chrome 21.0.1180.89closeWindows 7closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
close closeclosecloseyes360Spiderclose0.002 Detail
UserAgentApiCom

Chrome 21.0.1180.89WebKit 537.1closeclosecloseDesktopclosecloseclose0.14901 Detail
UserAgentStringCom

Chrome 21.0.1180.89closeWindows 7 closecloseclosecloseclose0.073 Detail
WhatIsMyBrowserCom

360Spider WebKit 537.1Windows Windows NT 6.1closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
closeyes360spiderclose0.001 Detail
Woothee
v1.2.0
Chrome 21.0.1180.89closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
close yescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 21.0.1180.89closeWindows 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 08:09:26 | by ThaDafinser