User agent detail

Mozilla/5.0 (Linux; U; Android 4.4.3; en-gb; KFASWI Build/KTU84M) AppleWebKit/537.36 (KHTML, like Gecko) Silk/3.37 like Chrome/34.0.1847.137 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/tablet.yml
Chrome 34.0.1847.137Blink Android 4.4.3AmazonFire HD 7tabletcloseclose0 Detail
Providers
BrowscapFull
6014
Silk 3.37Blink Android 4.4AmazonFire HD 7 (4th Gen)Tabletyesyes0.063 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Silk 3.37closeAndroid closecloseTabletyesyesclose0.019 Detail
DonatjUAParser
v0.5.1
Silk 3.37closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 34.0.1847.137closeAndroidOS 4.4.3closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 34.0.1847.137closeAndroid 4.4.3AmazonFire HD 7desktop-browsercloseclose0.28402 Detail
PiwikDeviceDetector
3.6.1
Chrome 34.0Blink Android 4.4AmazonFire HD 7tabletyes0.004 Detail
SinergiBrowserDetector
6.0.1
Chrome 34.0.1847.137closeAndroid 4.4.3closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Amazon Silk 3.37closeAndroid 4.4.3AmazonKindlecloseclosecloseclose0.003 Detail
UserAgentApiCom

Chrome 34.0.1847.137WebKit 537.36closeclosecloseMobileclosecloseclose1.17007 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.4.3closecloseclosecloseclose0.093 Detail
WhatIsMyBrowserCom

Silk 3.37WebKit 537.36Fire OS AmazonKindlecloseclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
Silk 3.37Blink FireOS 4.5AmazonFire HD 7tabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 34.0.1847.137closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 34.0.1847.137closeAndroid 4.4.3AmazonKFASWITabletyesyescloseclose0.015 Detail
Zsxsoft
1.3
Amazon Silk 3.37closeAndroid 4.4.3closeclosecloseclosecloseclose0 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 07:56:04 | by ThaDafinser