User agent detail

LG-T300/V100 Obigo/Q7.3 MMS/LG-MMS-V1.1/1.2 MediaPlayer/LGPlayer/1.0 Java/ASVM/1.1 Profile/MIDP-2.1 Configuration/CLDC-1.1

Detected by 6 of 8 providers
As bot detected by 0 of 7

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
Teleca-Obigo 7.3 JAVA LGT300Mobile Phoneyes Detail
DonatjUAParser
v0.5.0
LG-T300 V100closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Obigo Q7 LGT300smartphoneyes Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 7.3close LGT300closeclosecloseclose Detail
WhichBrowser
2.0.9
Obigo Q 7.3 LGT300mobile:featureyescloseclose Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Teleca Obigo Q7.3close LGT300Feature Phoneyescloseclose 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 2016-01-26 16:39:02 | by ThaDafinser