User agent detail

Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_3; en-us; Silk/1.1.0-80) AppleWebKit/533.16 (KHTML, like Gecko) Version/5.0 Safari/533.16 Silk-Accelerated=true
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/donatj/phpuseragentparser/Tests/user_agents.json
Silk 1.1.0 0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close AmazonKindleclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Silk 1.0WebKit Android AmazonKindleEbook Readeryesyes0.013 Detail
BrowscapLite
6014
Safari closeMacOSX closecloseDesktopcloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Silk 1.0closeAndroid closecloseEbook Readeryesyesclose0.006 Detail
DonatjUAParser
v0.5.1
Silk 1.1.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 5.0closeOS X 10_6_3closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Safari 5.0closeOS X 10.6.3AmazonKindle Firedesktop-browsercloseclose0.20701 Detail
PiwikDeviceDetector
3.6.1
Mobile Silk 1.1Blink Android AmazonKindle Firetabletyes0.004 Detail
SinergiBrowserDetector
6.0.1
Safari 5.0closeOS X 10.6.3closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Amazon Silk 1.1.0closeAndroid AmazonKindlecloseclosecloseclose0.002 Detail
UserAgentApiCom

Safari 533.16WebKit 533.16closeclosecloseDesktopclosecloseclose0.16001 Detail
UserAgentStringCom

Safari 5.0closeOS X 10.6.3closecloseclosecloseclose0.17701 Detail
WhatIsMyBrowserCom

Silk 1.1.0WebKit 533.16Fire OS AmazonKindlecloseclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Silk 1.1Webkit 533.16FireOS AmazonKindle Firetabletyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 5.0closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Amazon Silk Browser 1.1.0closeMac OS X 10.6.3AmazonD01400Tabletyesyescloseclose0.016 Detail
Zsxsoft
1.3
Amazon Silk 1.1.0closeMac OS X 10.6.3 closeclosecloseclosecloseclose0 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 2016-05-10 08:04:03 | by ThaDafinser