User agent detail

Mozilla/4.0 (compatible; Linux 2.6.22) NetFront/3.4 Kindle/2.3 (screen 1200x824; rotate)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
AmazonKindle 2.3 Detail
Providers
BrowscapPhp
6012
NetFront 3.4NetFront AmazonKindleEbook Readeryesyes0.014 Detail
DonatjUAParser
v0.5.0
Kindle 2.3closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Kindle Browser 2.3closeLinux AmazonKindle 2mobile-browseryescloseclose0.18102 Detail
PiwikDeviceDetector
3.5.2
Kindle Browser 2.3NetFront GNU/Linux AmazonKindletabletyes0.01 Detail
SinergiBrowserDetector
6.0.0
Mozilla 4.0closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
NetFront 3.4closeKindle 2.3AmazonKindle 2.3closeclosecloseclose0.008 Detail
UserAgentStringCom
NetFront 3.4closeLinux closecloseclosecloseclose0.044 Detail
WhatIsMyBrowserCom
NetFront Fire OS AmazonKindle 2.3closeclosecloseclosecloseclose0.40404 Detail
WhichBrowser
2.0.10
NetFront 3.4 AmazonKindleereaderyescloseclose0.004 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.6.4
NetFront 3.4closeLinux AmazonKindle 2Other Mobileyescloseclose0.014 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 13:32:34 | by ThaDafinser