User agent detail

Mozilla/5.0 (Linux; U; Android 4.4.3; en-us; KFASWI Build/KTU84M) AppleWebKit/537.36 (KHTML, like Gecko) Silk/3.67 like Chrome/39.0.2171.93 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-687.php
Silk 3.67Blink unknownAndroid 4.4AmazonFire HD 7 (4th Gen)Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Silk 3.67Blink Android 4.4AmazonFire HD 7 (4th Gen)Tabletyesyes0.009 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Silk 3.67closeAndroid closecloseTabletyesyesclose0.014 Detail
DonatjUAParser
v0.5.1
Silk 3.67closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 39.0.2171.93closeAndroidOS 4.4.3closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 39.0.2171.93closeAndroid 4.4.3AmazonFire HD 7desktop-browsercloseclose0.27202 Detail
PiwikDeviceDetector
3.6.1
Chrome 39.0Blink Android 4.4AmazonFire HD 7tabletyes0.006 Detail
SinergiBrowserDetector
6.0.1
Chrome 39.0.2171.93closeAndroid 4.4.3closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Amazon Silk 3.67closeAndroid 4.4.3AmazonKindlecloseclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 39.0.2171.93WebKit 537.36closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.4.3closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

Silk 3.67WebKit 537.36Fire OS AmazonKindlecloseclosecloseclosecloseclose0.25001 Detail
WhichBrowser
v2.0.18
Silk 3.67Blink FireOS 4.5AmazonFire HD 7tabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 39.0.2171.93closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 39.0.2171.93closeAndroid 4.4.3AmazonKFASWITabletyesyescloseclose0.021 Detail
Zsxsoft
1.3
Amazon Silk 3.67closeAndroid 4.4.3closeclosecloseclosecloseclose0.001 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 08:04:50 | by ThaDafinser