User agent detail

Opera/9.80 (BREW; Opera Mini/5.0/27.2213; U; en) Presto/2.8.119 320X240 LG VX9200CH-U660
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGVX9200CH Detail
Providers
BrowscapPhp
6012
Opera Mini 5.0Presto 2.2Brew 2.0Mobile Deviceyes0.012 Detail
DonatjUAParser
v0.5.0
Opera 9.80closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Opera Mini 5.0close LGVN270mobile-browseryescloseclose0.181 Detail
PiwikDeviceDetector
3.5.2
Opera Mini 5.0Presto Brew LGVX9200CHsmartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
Opera Mini 5.0close closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Opera Mini 5.0closeBREW LGVX9200CHcloseclosecloseclose0.006 Detail
UserAgentStringCom
Opera Mini 5.0close closecloseclosecloseclose0.113 Detail
WhatIsMyBrowserCom
Opera Mini 5.0Presto 2.8.119 closeclosecloseclosecloseclose0.414 Detail
WhichBrowser
2.0.10
Opera Mini 5.0Presto 2.8.119Brew LGEnv3mobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
Opera 9.80closecloseclosecloseclosecloseclose0 Detail
Wurfl
1.6.4
Opera Mini 5.1close LGVN270Feature Phoneyesyescloseclose0.013 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 13:38:56 | by ThaDafinser