User agent detail

Opera/9.80 (BREW; Opera Mini/5.1/27.2338; U; xx) Presto/2.8.119 400X240 LG VN271
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/os-brew.yaml
Opera Mini 5.1Brew Presto 2.8.119LGExtravertmobile:featureyes Detail
Providers
BrowscapPhp
6012
Opera Mini 5.1Presto 2.2Brew 2.0Mobile Deviceyes0.012 Detail
DonatjUAParser
v0.5.0
Opera 9.80closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Opera Mini 5.1close LGVN270mobile-browseryescloseclose0.18002 Detail
PiwikDeviceDetector
3.5.2
Opera Mini 5.1Presto Brew LGVN271smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
Opera Mini 5.1close closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Opera Mini 5.1closeBREW LGVN271closeclosecloseclose0.005 Detail
UserAgentStringCom
Opera Mini 5.1close closecloseclosecloseclose0.12101 Detail
WhatIsMyBrowserCom
Opera Mini 5.1Presto 2.8.119 LGLG VN271closeclosecloseclosecloseclose0.40604 Detail
WhichBrowser
2.0.10
Opera Mini 5.1Presto 2.8.119Brew LGExtravertmobile:featureyescloseclose0.005 Detail
Woothee
v1.2.0
Opera 9.80closecloseclosecloseclosecloseclose0.001 Detail
Wurfl
1.6.4
Opera Mini 5.1close LGVN270Feature Phoneyesyescloseclose0.008 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 13:40:03 | by ThaDafinser