User agent detail

Mozilla/5.0 (Linux; U; Android GFIVE 4.0; de-de; GFIVE Spark(A1) Build/MocorDroid2.3.5) 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 GfiveSpark(A1)closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android Mobile Phoneyesyes0.014 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.01 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS GFIVEcloseclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid GFiveSpark A1mobile-browseryescloseclose0.32402 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit MocorDroid 2.3yes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Safari 4.0closeAndroid GfiveSpark(A1)closeclosecloseclose0.001 Detail
UserAgentApiCom

Safari 533.1WebKit 533.1closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid closecloseclosecloseclose0.08001 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 533.1Android closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 533.1Android GFiveSparkmobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit closeLinux GFiveSpark A1Feature Phoneyesyescloseclose0.019 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid closeclosecloseclosecloseclose0 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 07:54:11 | by ThaDafinser