User agent detail

Mozilla/5.0 (Linux; U; en-us; KFTT Build/IML74K) AppleWebKit/535.19 (KHTML, like Gecko) Silk/2.2 Safari/535.19 Silk-Accelerated=true
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/donatj/phpuseragentparser/Tests/user_agents.json
Silk 2.2 0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close AmazonKindle Fire HD 7"closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Silk 2.2WebKit Android AmazonKindle Fire HD 7Tabletyesyes0.043 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Silk 2.2closeAndroid closecloseTabletyesyesclose0.019 Detail
DonatjUAParser
v0.5.1
Silk 2.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 535.19closeLinux closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Safari 535.19closeLinux AmazonKindle Fire HDdesktop-browsercloseclose0.28002 Detail
PiwikDeviceDetector
3.6.1
Mobile Silk 2.2Blink Android AmazonKindle Fire HDtabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Safari closeLinux closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Amazon Silk 2.2closeAndroid AmazonKindle Fire HD 7"closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 535.19WebKit 535.19closeclosecloseDesktopclosecloseclose0.15101 Detail
UserAgentStringCom

Safari closeLinux closecloseclosecloseclose0.091 Detail
WhatIsMyBrowserCom

Silk 2.2WebKit 535.19Fire OS AmazonKindle Fire HD 7"closeclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
Silk 2.2Webkit 535.19FireOS 2AmazonKindle Fire HDtabletyescloseclose0.003 Detail
Woothee
v1.2.0
Safari closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
Amazon Silk Browser 2.2closeAndroid AmazonKFTTTabletyesyescloseclose0.015 Detail
Zsxsoft
1.3
Amazon Silk 2.2closeGNU/Linux 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 08:08:57 | by ThaDafinser