User agent detail

Mozilla/4.0 (compatible; Linux 2.6.22) NetFront/3.4 Kindle/2.0 (screen 600x800)

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

GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeActions
BrowscapPhp
6011
NetFront 3.4NetFront AmazonKindleEbook Readeryesyes Detail
DonatjUAParser
v0.5.0
Kindle 2.0closeclosecloseclosecloseclosecloseclosecloseclose Detail
PiwikDeviceDetector
3.5.1
Kindle Browser 2.0NetFront GNU/Linux AmazonKindletabletyes Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0closeLinux closecloseclosecloseclose Detail
UAParser
v3.4.5
NetFront 3.4closeKindle 2.0AmazonKindle 2.0closeclosecloseclose Detail
WhichBrowser
2.0.9
NetFront 3.4 AmazonKindle 2ereaderyescloseclose Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose Detail
Wurfl
1.6.4
NetFront 3.4closeLinux AmazonKindle 2Other Mobileyescloseclose 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 16:41:24 | by ThaDafinser