User agent detail

Mozilla/4.0 (compatible; Linux 2.6.22) NetFront/3.4 Kindle/2.0 (screen 600x800)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
piwik/device-detector
/Tests/fixtures/tablet.yml
Kindle Browser 2.0GNU/Linux NetFront AmazonKindletabletyes Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront AmazonKindleEbook Readeryesyes0.018 Detail
DonatjUAParser
v0.5.0
Kindle 2.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Kindle Browser 2.0closeLinux AmazonKindle 2mobile-browseryescloseclose0.17802 Detail
PiwikDeviceDetector
3.5.2
Kindle Browser 2.0NetFront GNU/Linux AmazonKindletabletyes0.01 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.4closeKindle 2.0AmazonKindle 2.0closeclosecloseclose0.006 Detail
UserAgentStringCom
NetFront 3.4closeLinux closecloseclosecloseclose0.08401 Detail
WhatIsMyBrowserCom
NetFront Fire OS AmazonKindle 2.0closeclosecloseclosecloseclose0.40404 Detail
WhichBrowser
2.0.10
NetFront 3.4 AmazonKindle 2ereaderyescloseclose0.007 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
NetFront 3.4closeLinux AmazonKindle 2Other Mobileyescloseclose0.009 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 13:31:21 | by ThaDafinser