User agent detail

Mozilla/5.0 (Linux; Android 4.0.3; Sony Tablet P Build/TISU0144) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.99 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/tablet-1.yml
Chrome 32.0.1700.99Blink Android 4.0.3SonyTablet Ptabletcloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 32.0Blink Android 4.0Mobile Phoneyesyes0.016 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 32.0closeAndroid closecloseMobile Phoneyesyesclose0.03 Detail
DonatjUAParser
v0.5.1
Chrome 32.0.1700.99closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 32.0.1700.99closeAndroidOS 4.0.3closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 32.0.1700.99closeAndroid 4.0.3SonyTablet Pdesktop-browsercloseclose0.27502 Detail
PiwikDeviceDetector
3.6.1
Chrome 32.0Blink Android 4.0SonyTablet Ptabletyes0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 32.0.1700.99closeAndroid 4.0.3closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 32.0.1700closeAndroid 4.0.3SonyTablet Pcloseclosecloseclose0.003 Detail
UserAgentApiCom

Chrome 32.0.1700.99WebKit 537.36closeclosecloseTabletclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.3closecloseclosecloseclose0.067 Detail
WhatIsMyBrowserCom

Chrome 32.0.1700.99WebKit 537.36Android 4.0.3closeclosecloseclosecloseclose0.24001 Detail
WhichBrowser
v2.0.18
Chrome 32Blink Android 4.0.3SonyTablet Ptabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 32.0.1700.99closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 32.0.1700.99closeAndroid 4.0.3SonySGPT211Tabletyesyescloseclose0.021 Detail
Zsxsoft
1.3
Google Chrome 32.0.1700.99closeAndroid 4.0.3closeclosecloseclosecloseclose0 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 08:10:23 | by ThaDafinser