User agent detail

Mozilla/5.0 (compatible; Teleca Q7; Brew 3.1.5; U; xx) 320X240 LGE VX9200
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/os-brew.yaml
Obigo Q 7Brew 3.1.5 LGEnv3mobile:featureyes Detail
Providers
BrowscapPhp
6012
Teleca-Obigo Brew 3.1Mobile Phoneyes0.029 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
Obigo Q 7closeBrew 3.1.5LGEnv3mobile-browseryescloseclose0.186 Detail
PiwikDeviceDetector
3.5.2
Obigo Brew 3.1LGVX9200smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Teleca Browser close LGVX9200closeclosecloseclose0.006 Detail
UserAgentStringCom
Teleca-Obigo Q7close closecloseclosecloseclose0.087 Detail
WhatIsMyBrowserCom
Mozilla 5.0 closeclosecloseclosecloseclose0.41 Detail
WhichBrowser
2.0.10
Obigo Q 7 Brew 3.1.5LGEnv3mobile:featureyescloseclose0.009 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
close LGVX-9200Feature Phoneyescloseclose0.014 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 13:30:47 | by ThaDafinser