User agent detail

Mozilla/5.0 (compatible; Teleca Q7; Brew 3.1.5; U; en) 240X480 LGE VX9600
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGVX9600 Detail
Providers
BrowscapPhp
6012
Teleca-Obigo Brew 3.1Mobile Phoneyes0.013 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
Obigo Q 7closeBrew 3.1.5LGVersamobile-browseryescloseclose0.18502 Detail
PiwikDeviceDetector
3.5.2
Obigo Brew 3.1LGVX9600smartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Teleca Browser close LGVX9600closeclosecloseclose0.003 Detail
UserAgentStringCom
Teleca-Obigo Q7close closecloseclosecloseclose0.06401 Detail
WhatIsMyBrowserCom
Mozilla 5.0 closeclosecloseclosecloseclose0.40404 Detail
WhichBrowser
2.0.10
Obigo Q 7 Brew 3.1.5LGVersamobile:featureyescloseclose0.003 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
close LGVX9600Feature Phoneyesyescloseclose0.028 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 13:32:27 | by ThaDafinser