User agent detail

Silk/1.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-900.php
Default Browser 0.0unknown unknownunknown unknownunknownunknownunknown0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
Silk 1.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

close closeyessilk/1.0 -aclose0.20801 Detail
PiwikDeviceDetector
3.6.1
Mobile Silk 1.0Blink AmazonKindle Firetabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close closeclosecloseyesAmazon Silkclose0.001 Detail
UserAgentApiCom

No result found
UserAgentStringCom

close closeclosecloseclosecloseyessilkCrawler0.08401 Detail
WhatIsMyBrowserCom

Silk 1.0 Fire OS AmazonKindlecloseclosecloseclosecloseclose0.24001 Detail
WhichBrowser
v2.0.18
Silk 1.0 AmazonKindle Firetabletyescloseclose0.001 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
close AmazonD01400Tabletyesyescloseclose0.021 Detail
Zsxsoft
1.3
Amazon Silk 1.0close closeclosecloseclosecloseclose0.001 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 08:01:31 | by ThaDafinser