User agent detail

: BREW_0x108f3d4/2.0.32; Device: LG-VN271; DeviceId: 1394 ;
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGVN271 Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
close LGVN271;mobile-browseryescloseclose0.19702 Detail
PiwikDeviceDetector
3.5.2
Brew LGVN271smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close LGVN271closeclosecloseclose0.002 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
LGLGVN271closeclosecloseclosecloseclose0.41904 Detail
WhichBrowser
2.0.10
LGVN271;mobile:featureyescloseclose0.015 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Opera 11.10closeLinux armv6l Feature Phoneyescloseclose0.021 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 13:25:08 | by ThaDafinser