User agent detail

Motorola-w385 Obigo/Q04C1 MMP/2.0 Profile/MIDP-2.0 Configuration/CLDC-1.1

Detected by 5 of 8 providers
As bot detected by 0 of 7

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
No result found
DonatjUAParser
v0.5.0
Motorola-w385 closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Obigo Q04C1 Motorolaw385smartphoneyes Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 4.1close Motorolaw385closeclosecloseclose Detail
WhichBrowser
2.0.9
Obigo Q 4C MotorolaW385mobile:featureyescloseclose Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Teleca Obigo Q04C1close MotorolaW385Feature 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 16:40:30 | by ThaDafinser