User agent detail

LGE-VM510 NetFront/3.5.1 (GUI) MMP/2.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/os-feature.yaml
NetFront 3.5.1 LGVM510mobile:featureyes Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.021 Detail
DonatjUAParser
v0.5.0
LGE-VM510 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 3.5.1close LGVM510mobile-browseryescloseclose0.19402 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront LGVM510smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.5.1close LGVM510closeclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.5.1close closecloseclosecloseclose0.05601 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.40504 Detail
WhichBrowser
2.0.10
NetFront 3.5.1 LGVM510mobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.5close LGVM510Feature Phoneyesyescloseclose0.015 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 13:28:22 | by ThaDafinser