User agent detail

Mozilla/4.0 (compatible; Linux 2.6.10) NetFront/3.3 Kindle/1.0 (screen 600x800)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/ereader/amazon.yaml
NetFront 3.3 AmazonKindle 1ereaderyes Detail
Providers
BrowscapPhp
6012
NetFront 3.3NetFront AmazonKindleEbook Readeryesyes0.027 Detail
DonatjUAParser
v0.5.0
Kindle 1.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Kindle Browser 1.0closeLinux AmazonKindlemobile-browseryescloseclose0.186 Detail
PiwikDeviceDetector
3.5.2
Kindle Browser 1.0NetFront GNU/Linux AmazonKindletabletyes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.3closeKindle 1.0AmazonKindle 1.0closeclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.3closeLinux closecloseclosecloseclose0.061 Detail
WhatIsMyBrowserCom
NetFront Fire OS AmazonKindle 1.0closeclosecloseclosecloseclose0.408 Detail
WhichBrowser
2.0.10
NetFront 3.3 AmazonKindle 1ereaderyescloseclose0.004 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
NetFront 3.3closeLinux AmazonKindleOther Mobileyescloseclose0.018 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 13:43:17 | by ThaDafinser