User agent detail

Mozilla/5.0(miniGUI/3.x; U; Linux i686; en-US) AppleWebKit/534.26 (KHTML, like Gecko) mDolphin/3.0 chrome/10.0 Safria/534.26
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_ua.yaml
mDolphin 3.0 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
Chrome 10.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Chrome 10.0closeLinux desktop-browsercloseclose0.19808 Detail
PiwikDeviceDetector
3.5.2
Chrome 10.0WebKit GNU/Linux desktop0.007 Detail
SinergiBrowserDetector
6.0.0
Chrome 10.0closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
mDolphin 3.0closeLinux closeclosecloseclose0.011 Detail
UserAgentStringCom
Chrome 10.0closeLinux closecloseclosecloseclose0.06603 Detail
WhatIsMyBrowserCom
Chrome 10.0WebKit 534.26Linux closeclosecloseclosecloseclose0.48619 Detail
WhichBrowser
2.0.10
Dolphin 3.0Webkit 534.26Linux mobile:featureyescloseclose0.008 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
No result found

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 13:35:31 | by ThaDafinser