User agent detail

Mozilla/5.0 (Linux; U; Android 4.0.3; en-gb; KFTT Build/IML74K) AppleWebKit/537.36 (KHTML, like Gecko) Silk/3.25 like Chrome/34.0.1847.137 Mobile Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_ua.yaml
Amazon Silk 3.25close closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Silk 3.25Blink Android 4.0AmazonKindle Fire HD 7Tabletyesyes0.012 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Silk 3.25closeAndroid closecloseTabletyesyesclose0.039 Detail
DonatjUAParser
v0.5.1
Silk 3.25closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 34.0.1847.137closeAndroidOS 4.0.3closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Amazon Silk 3.25closeAndroid 4.0.3AmazonKFTTmobile-browseryescloseclose0.26801 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 34.0Blink Android 4.0AmazonKindle Fire HDtabletyes0.007 Detail
SinergiBrowserDetector
6.0.1
Chrome 34.0.1847.137closeAndroid 4.0.3closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Amazon Silk 3.25closeAndroid 4.0.3AmazonKindle Fire HD 7"closeclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 34.0.1847.137WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.3closecloseclosecloseclose0.09 Detail
WhatIsMyBrowserCom

Silk 3.25WebKit 537.36Fire OS AmazonKindle Fire HD 7"closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Silk 3.25Blink FireOS 2AmazonKindle Fire HDtabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 34.0.1847.137closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 34.0.1847.137closeAndroid 4.0.3AmazonKFTTTabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Amazon Silk 3.25closeAndroid 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 08:06:18 | by ThaDafinser