User agent detail

Mozilla/5.0 (Windows; U; Windows CE 5.2; xx; rv:1.9.2a1pre) Gecko/20090513 Fennec/1.0a1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/os-windowsce.yaml
Firefox Mobile Fennec 1.0a1Windows CE 5.2Gecko 1.9.2a1mobile:featureyes Detail
Providers
BrowscapPhp
6012
Mozilla 1.9Gecko 1.9 Desktop0.014 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
Mobile Firefox 1.0a1closeWindows 5.2GenericFirefox Mobilemobile-browseryescloseclose0.18302 Detail
PiwikDeviceDetector
3.5.2
Fennec 1.0Gecko Windows CE yes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 1.9closeWindows CEclosecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Firefox Mobile 1.0.0closeWindows CE closeclosecloseclose0.002 Detail
UserAgentStringCom
Fennec 1.0a1closeWindows CE 5.2closecloseclosecloseclose0.15002 Detail
WhatIsMyBrowserCom
Fennec 1.0a1Gecko 20090513Windows closeclosecloseclosecloseclose0.43604 Detail
WhichBrowser
2.0.10
Firefox Mobile Fennec 1.0a1Gecko 1.9.2a1Windows CE 5.2mobile:featureyescloseclose0.003 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0.001 Detail
Wurfl
1.6.4
IE Mobile closeWindows Mobile Feature Phoneyescloseclose0.012 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 2016-02-13 13:32:47 | by ThaDafinser