User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.2; xx; SD4930UR Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Silk/3.29 like Chrome/34.0.1847.137 Mobile Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-fireos.yaml
Silk 3.29Blink FireOS 3Fire Phonemobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Silk 3.29Blink Android 4.2AmazonFire PhoneMobile Phoneyesyes0.0156 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Silk 3.29closeAndroid closecloseEbook Readeryesyesclose0.0156 Detail
DonatjUAParser
v0.5.1
Silk 3.29closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 34.0.1847.137closeAndroidOS 4.2.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Amazon Silk 3.29closeAndroid 4.2.2AmazonFire Phonemobile-browseryescloseclose0.2652 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 34.0Blink Android 4.2AmazonFire Phonesmartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
Chrome 34.0.1847.137closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Amazon Silk 3.29closeAndroid 4.2.2AmazonKindlecloseclosecloseclose0.0156 Detail
UserAgentApiCom

Chrome 34.0.1847.137WebKit 537.36closeclosecloseMobileclosecloseclose0.1404 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.0624 Detail
WhatIsMyBrowserCom

Silk 3.29WebKit 537.36Fire OS AmazonKindlecloseclosecloseclosecloseclose0.2496 Detail
WhichBrowser
v2.0.18
Silk 3.29Blink FireOS 3AmazonFire Phonemobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Chrome 34.0.1847.137closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 34.0.1847.137closeAndroid 4.2.2AmazonFire PhoneSmartphoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Amazon Silk 3.29closeAndroid 4.2.2closeclosecloseclosecloseclose0 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 07:50:31 | by ThaDafinser