User agent detail

Mozilla/5.0 (Linux; U; Android 4.0.3; xx; KFOT Build/IML74K) AppleWebKit/537.36 (KHTML, like Gecko) Silk/3.35 like Chrome/34.0.1847.137 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/tablet/os-fireos.yaml
Silk 3.35Blink FireOS 2Kindle Firetabletclosecloseclose0 Detail
Providers
BrowscapFull
6014
Silk 3.35Blink Android 4.0AmazonKindle Fire 7Tabletyesyes0.017 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Silk 3.35closeAndroid closecloseTabletyesyesclose0.045 Detail
DonatjUAParser
v0.5.1
Silk 3.35closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 34.0.1847.137closeAndroidOS 4.0.3closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 34.0.1847.137closeAndroid 4.0.3AmazonKindle Firedesktop-browsercloseclose0.34302 Detail
PiwikDeviceDetector
3.6.1
Chrome 34.0Blink Android 4.0AmazonKindle Firetabletyes0.004 Detail
SinergiBrowserDetector
6.0.1
Chrome 34.0.1847.137closeAndroid 4.0.3closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Amazon Silk 3.35closeAndroid 4.0.3AmazonKindle Firecloseclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 34.0.1847.137WebKit 537.36closeclosecloseMobileclosecloseclose0.17101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.3closecloseclosecloseclose0.12401 Detail
WhatIsMyBrowserCom

Silk 3.35WebKit 537.36Fire OS AmazonKindle Fire (2nd Gen)closeclosecloseclosecloseclose0.25402 Detail
WhichBrowser
v2.0.18
Silk 3.35Blink FireOS 2AmazonKindle Firetabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 34.0.1847.137closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 34.0.1847.137closeAndroid 4.0.3AmazonKFOTTabletyesyescloseclose0.02 Detail
Zsxsoft
1.3
Amazon Silk 3.35closeAndroid 4.0.3closeclosecloseclosecloseclose0.001 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 08:02:39 | by ThaDafinser