User agent detail

Opera/9.80 (BREW; Opera Mini/5.0.0030/18.1318; U; en) Presto/2.4.15 240X320 LG VN250
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGVN250 Detail
Providers
BrowscapPhp
6012
Opera Mini 5.0Presto 2.2Brew 2.0Mobile Deviceyes0.018 Detail
DonatjUAParser
v0.5.0
Opera 9.80closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Opera Mini 5.0.0030close LGVN270mobile-browseryescloseclose0.191 Detail
PiwikDeviceDetector
3.5.2
Opera Mini 5.0Presto Brew LGVN250smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
Opera Mini 5.0.0030close closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Opera Mini 5.0.30closeBREW LGVN250closeclosecloseclose0.002 Detail
UserAgentStringCom
Opera Mini 5.0.0030close closecloseclosecloseclose0.075 Detail
WhatIsMyBrowserCom
Opera Mini 5.0.30Presto 2.4.15 LGLG VN250closeclosecloseclosecloseclose0.406 Detail
WhichBrowser
2.0.10
Opera Mini 5.0.0030Presto 2.4.15Brew LGVN250mobile:featureyescloseclose0.009 Detail
Woothee
v1.2.0
Opera 9.80closecloseclosecloseclosecloseclose0 Detail
Wurfl
1.6.4
Opera Mini 5.1close LGVN270Feature Phoneyesyescloseclose0.012 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 13:40:12 | by ThaDafinser