User agent detail

Mozilla/5.0 (Windows; U; WindowsCE 5.2; en-US; rv:1.9.2a2pre) Gecko/20090904 Fennec/1.0a3
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_os.yaml
Windows CE Detail
Providers
BrowscapPhp
6012
Mozilla 1.9Gecko 1.9 Desktop0.043 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
Mobile Firefox 1.0a3closeWindows mobile-browseryescloseclose0.20502 Detail
PiwikDeviceDetector
3.5.2
Fennec 1.0Gecko Windows desktop0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 1.9close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Firefox Mobile 1.0.0closeWindows CE closeclosecloseclose0.009 Detail
UserAgentStringCom
Fennec 1.0a3close closecloseclosecloseclose0.05201 Detail
WhatIsMyBrowserCom
Fennec 1.0a3Gecko 20090904Windows closeclosecloseclosecloseclose0.42504 Detail
WhichBrowser
2.0.10
Firefox Mobile Fennec 1.0a3Gecko 1.9.2a2Windows CE mobile:featureyescloseclose0.003 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
Opera 11.10closeLinux armv6l Feature Phoneyescloseclose0.037 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 13:34:27 | by ThaDafinser