User agent detail

NetFront/3.5.1 (BREW 3.1.5; U; en-us; LG; NetFront/3.5.1/WAP) Sprint LN240 MMP/2.0 Profile/MIDP-2.1 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SprintLN240 Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.023 Detail
DonatjUAParser
v0.5.0
NetFront 3.5.1closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 3.5.1closeJVM SprintLN240mobile-browseryescloseclose0.184 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront Brew 3.1LGNetFrontsmartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.5.1closeBREW 3.1.5SprintLN240closeclosecloseclose0.003 Detail
UserAgentStringCom
NetFront 3.5.1close closecloseclosecloseclose0.056 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.418 Detail
WhichBrowser
2.0.10
NetFront 3.5.1 Brew 3.1.5LGLN240mobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.5close SprintLN240Feature Phoneyescloseclose0.031 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 13:31:04 | by ThaDafinser