User agent detail

LGE-GW370B Obigo/Q7.3 MMP/2.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGGW370B Detail
Providers
BrowscapPhp
6012
Teleca-Obigo 7.0 JAVA Mobile Phoneyes0.016 Detail
DonatjUAParser
v0.5.0
LGE-GW370B closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo Q 7.3close LGGW370Bmobile-browseryescloseclose0.20702 Detail
PiwikDeviceDetector
3.5.2
Obigo Q7 LGGW370Bsmartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 7.3close LGGW370Bcloseclosecloseclose0.01 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo Q7 Browser Q7 closeclosecloseclosecloseclose0.40304 Detail
WhichBrowser
2.0.10
Obigo Q 7.3 LGGW370Bmobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Teleca Obigo Q7.3close LGGW370BFeature Phoneyescloseclose0.026 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 13:32:12 | by ThaDafinser