User agent detail

Mozilla/4.0 (compatible; Linux 2.6.22) NetFront/3.4 Kindle/2.0 (screen 600x800)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/tablet.yml
Kindle Browser 2.0NetFront GNU/Linux AmazonKindletabletcloseclose0 Detail
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close AmazonKindle 2.0closecloseclosecloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/ereader/amazon.yaml
NetFront 3.4 Kindle 2ereaderclosecloseclose0 Detail
Providers
BrowscapFull
6014
NetFront 3.4NetFront AmazonKindleEbook Readeryesyes0.012 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
NetFront 3.4close closecloseEbook Readeryesyesclose0.013 Detail
DonatjUAParser
v0.5.1
Kindle 2.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Mozilla closeLinux closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Kindle Browser 2.0closeLinux AmazonKindle 2mobile-browseryescloseclose0.20301 Detail
PiwikDeviceDetector
3.6.1
Kindle Browser 2.0NetFront GNU/Linux AmazonKindletabletyes0.006 Detail
SinergiBrowserDetector
6.0.1
Mozilla 4.0closeLinux closecloseclosecloseclose0 Detail
UAParser
v3.4.5
NetFront 3.4closeKindle 2.0AmazonKindle 2.0closeclosecloseclose0.005 Detail
UserAgentApiCom

Mozilla 4.0 closeclosecloseDesktopclosecloseclose0.15101 Detail
UserAgentStringCom

NetFront 3.4closeLinux closecloseclosecloseclose0.074 Detail
WhatIsMyBrowserCom

NetFront Fire OS AmazonKindle 2.0closeclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
NetFront 3.4 AmazonKindle 2ereaderyescloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosepcclosecloseclose0 Detail
Wurfl
1.7.1.0
NetFront 3.4closeLinux AmazonKindle 2Other Mobileyescloseclose0.032 Detail
Zsxsoft
1.3
NetFront 3.4closeGNU/Linux Kindle2.0closeclosecloseclosecloseclose0.001 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 08:01:04 | by ThaDafinser