User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.3; En-us; TAB450 Build/GRI40) AppleWebKit/533.1 (KHTML, Like Gecko) Version/4.0 Mobile Safari/533.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close YarvikTAB450closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 2.3Mobile Phoneyesyes0.016 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.015 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 2.3.3closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 2.3.3TAB450mobile-browseryescloseclose0.30002 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 2.3yes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.3.3closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 2.3.3closeAndroid 2.3.3YarvikTAB450closeclosecloseclose0.004 Detail
UserAgentApiCom

Safari 533.1WebKit 533.1closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.3closecloseclosecloseclose0.087 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 533.1Android 2.3.3closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 533.1Android 2.3.3YarvikGoTab Slimlinetabletyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Android Webkit 2.3.3closeAndroid 2.3.3Smartphoneyesyescloseclose0.016 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 2.3.3closeclosecloseclosecloseclose0 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 08:03:06 | by ThaDafinser