User agent detail

Mozilla/5.0 (Linux; U; en-us; KFJWA Build/IMM76D) AppleWebKit/535.19 (KHTML, like Gecko) Silk/3.8 Safari/535.19 Silk-Accelerated=false
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-096.php
Silk 3.8WebKit unknownAndroid unknownAmazonKindle Fire HD 8.9Tabletyesyes0 Detail
Providers
BrowscapFull
6014
Silk 3.8WebKit Android AmazonKindle Fire HD 8.9Tabletyesyes0.014 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Silk 3.8closeAndroid closecloseTabletyesyesclose0.022 Detail
DonatjUAParser
v0.5.1
Silk 3.8closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 535.19closeLinux closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Safari 535.19closeLinux AmazonKindle Fire HD 8.9"desktop-browsercloseclose0.28202 Detail
PiwikDeviceDetector
3.6.1
Mobile Silk 3.8Blink Android AmazonKindle Fire HD 8.9" 4Gtabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Safari closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Amazon Silk 3.8closeAndroid AmazonKindle Fire HD 8.9" 4Gcloseclosecloseclose0.001 Detail
UserAgentApiCom

Safari 535.19WebKit 535.19closeclosecloseDesktopclosecloseclose0.16801 Detail
UserAgentStringCom

Safari closeLinux closecloseclosecloseclose0.19401 Detail
WhatIsMyBrowserCom

Silk 3.8WebKit 535.19Fire OS AmazonKindle Fire HD 8.9" WANcloseclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
Silk 3.8Webkit 535.19FireOS AmazonKindle Fire HD 8.9"tabletyescloseclose0.004 Detail
Woothee
v1.2.0
Safari closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Amazon Silk Browser 3.8closeAndroid AmazonD01400Tabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Amazon Silk 3.8closeGNU/Linux closeclosecloseclosecloseclose0 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