User agent detail

DoCoMo/2.0 N905i(c100;TB;W24H16;ser28028f0a26884cc;icc123428028f0a26884cc1)

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
DoCoMo 2.0 JAVA Mobile Deviceyes Detail
DonatjUAParser
v0.5.0
DoCoMo 2.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
DoCoMoN905ifeature phoneyes Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
close DoCoMoN905icloseclosecloseclose Detail
WhichBrowser
2.0.9
NECN905imobile:featureyescloseclose Detail
Woothee
v1.2.0
docomo N905icloseclosecloseclosemobilephoneclosecloseclose Detail
Wurfl
1.6.4
close DoCoMoN905iFeature 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 16:43:07 | by ThaDafinser