User agent detail

Mozilla/5.0(miniGUI/3.x; U; Linux i686; en; ) AppleWebKit/533.9.0 (KHTML, like Gecko) mDolphin/3.0.0 Safria/533.9.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_ua.yaml
mDolphin 3.0.0 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
AppleWebKit 533.9.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Dolphin 3.0.0closeLinux mobile-browseryescloseclose0.238 Detail
PiwikDeviceDetector
3.5.2
GNU/Linux desktop0.011 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0(miniGUI/3.x;closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
mDolphin 3.0.0closeLinux closeclosecloseclose0.003 Detail
UserAgentStringCom
Safari closeLinux closecloseclosecloseclose0.067 Detail
WhatIsMyBrowserCom
Mozilla 5.0WebKit 533.9.0Linux closeclosecloseclosecloseclose0.413 Detail
WhichBrowser
2.0.10
Dolphin 3.0.0Webkit 533.9.0Linux 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 13:24:59 | by ThaDafinser