User agent detail

NetFront/4.2 (BMP 1.0.4; U; xx; LG; NetFront/4.2/AMB) Sprint LN272 MMP/2.0 Profile/MIDP-2.1 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/os-brew.yaml
NetFront 4.2Brew MP 1.0.4 LGLN272mobile:featureyes Detail
Providers
BrowscapPhp
6012
NetFront 4.2NetFront Mobile Deviceyes0.024 Detail
DonatjUAParser
v0.5.0
NetFront 4.2closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 4.2closeJVM LGLN272mobile-browseryescloseclose0.183 Detail
PiwikDeviceDetector
3.5.2
NetFront 4.2NetFront Brew 1.0LGNetFrontsmartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 4.2closeBrew MP 1.0.4SprintLN272closeclosecloseclose0.013 Detail
UserAgentStringCom
NetFront 4.2close closecloseclosecloseclose0.048 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.414 Detail
WhichBrowser
2.0.10
NetFront 4.2 Brew MP 1.0.4LGLN272mobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 4.2close LGLN272Feature Phoneyescloseclose0.027 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 13:39:06 | by ThaDafinser