User agent detail

Mozilla/5.0 (Linux; U; Android 4.4.3; xx; KFARWI Build/KTU84M) AppleWebKit/537.36 (KHTML, like Gecko) Silk/3.41 like Chrome/37.0.2026.117 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 3.41Blink FireOS 4.5Fire HD 6tabletclosecloseclose0 Detail
Providers
BrowscapFull
6014
Silk 3.41Blink Android 4.4AmazonKindleEbook Readeryesyes0.056 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Silk 3.41closeAndroid closecloseEbook Readeryesyesclose0.012 Detail
DonatjUAParser
v0.5.1
Silk 3.41closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 37.0.2026.117closeAndroidOS 4.4.3closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 37.0.2026.117closeAndroid 4.4.3AmazonFire HD 6desktop-browsercloseclose0.27502 Detail
PiwikDeviceDetector
3.6.1
Chrome 37.0Blink Android 4.4AmazonFire HD 6tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 37.0.2026.117closeAndroid 4.4.3closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Amazon Silk 3.41closeAndroid 4.4.3AmazonKindlecloseclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 37.0.2026.117WebKit 537.36closeclosecloseMobileclosecloseclose0.14901 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.4.3closecloseclosecloseclose0.086 Detail
WhatIsMyBrowserCom

Silk 3.41WebKit 537.36Fire OS AmazonKindlecloseclosecloseclosecloseclose0.23201 Detail
WhichBrowser
v2.0.18
Silk 3.41Blink FireOS 4.5AmazonFire HD 6tabletyescloseclose0.003 Detail
Woothee
v1.2.0
Chrome 37.0.2026.117closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 37.0.2026.117closeAndroid 4.4.3AmazonKFARWITabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Amazon Silk 3.41closeAndroid 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 08:12:08 | by ThaDafinser