User agent detail

Mozilla/4.0 (compatible; Linux 2.6.22) NetFront/3.4 Kindle/2.5 (screen 600x800; rotate)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/ereader/amazon.yaml
NetFront 3.4 AmazonKindle 2ereaderyes Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront AmazonKindleEbook Readeryesyes0.02 Detail
DonatjUAParser
v0.5.0
Kindle 2.5closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Kindle Browser 2.5closeLinux AmazonKindle 2mobile-browseryescloseclose0.31903 Detail
PiwikDeviceDetector
3.5.2
Kindle Browser 2.5NetFront GNU/Linux AmazonKindletabletyes0.013 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.4closeKindle 2.5AmazonKindle 2.5closeclosecloseclose0.006 Detail
UserAgentStringCom
NetFront 3.4closeLinux closecloseclosecloseclose0.13501 Detail
WhatIsMyBrowserCom
NetFront Fire OS AmazonKindle 2.5closeclosecloseclosecloseclose0.41104 Detail
WhichBrowser
2.0.10
NetFront 3.4 AmazonKindle 2ereaderyescloseclose0.006 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
NetFront 3.4closeLinux AmazonKindle 2Other Mobileyescloseclose0.021 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 13:30:13 | by ThaDafinser