User agent detail

Mozilla/4.0 (compatible; Polaris 6.2; BREW 3.1.5; U; en)/240X400 LGE LG-LG8575
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGLG8575 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
Polaris 6.2closeBrew 3.1.5LGLG8575mobile-browseryescloseclose0.187 Detail
PiwikDeviceDetector
3.5.2
Polaris 6.2 Brew 3.1LGLGsmartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Polaris 6.2closeBREW 3.1.5LGLG8575closeclosecloseclose0.009 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Netscape Navigator 4.0 LGLGLG8575closeclosecloseclosecloseclose0.404 Detail
WhichBrowser
2.0.10
Polaris 6.2 Brew 3.1.5LGLG8575mobile:featureyescloseclose0.018 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
close LG8575Feature Phoneyesyescloseclose0.034 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 13:33:13 | by ThaDafinser