User agent detail

Mozilla/5.0 (Linux; U; Android 3.1-update1; zh-cn; SmartQV5II Build/Honeycomb) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 Mobile Safari/530.17
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SmartQV5IIclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 3.1Mobile Phoneyesyes0.02 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.017 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 3.1closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 3.1-update1SmartQV5 IImobile-browseryescloseclose0.28102 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 3.1tabletyes0.004 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 3.1closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 3.1closeAndroid 3.1.0SmartQV5IIcloseclosecloseclose0.003 Detail
UserAgentApiCom

Safari 530.17WebKit 530.17closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 3.1-update1closecloseclosecloseclose0.22501 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 530.17Android 3.1closeclosecloseclosecloseclose0.26202 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 530.17Android 3.1SmartQV5 IItabletyescloseclose0.003 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Android Webkit 3.1closeAndroid 3.1Tabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 3.1closeclosecloseclosecloseclose0.001 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 08:05:11 | by ThaDafinser