User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.3; en_us; S100 AMAZE Build/GINGERBREAD) AppleWebKit/530.17 (KHTML, like Gecko) Version/4.0 NetFrontLifeBrowser/2.3 Mobile (Dragonfruit)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close hitechAMAZE S100closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
NetFrontLifeBrowser 2.3WebKit Android Mobile Phoneyesyes0.016 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
NetFrontLifeBrowser 2.3closeAndroid closecloseMobile Phoneyesyesclose0.012 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Mozilla closeAndroidOS 2.3.3closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

NetFront Life Browser 2.3closeAndroid 2.3.3S100 AMAZEmobile-browseryescloseclose0.30402 Detail
PiwikDeviceDetector
3.6.1
NetFront Life 2.3NetFront Android 2.3yes0.004 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.3.3closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 2.3.3closeAndroid 2.3.3hitechAMAZE S100closeclosecloseclose0.001 Detail
UserAgentApiCom

Mozilla 5.0WebKit 530.17closeclosecloseMobileclosecloseclose0.15401 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.3closecloseclosecloseclose0.084 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 530.17Android 2.3.3closeclosecloseclosecloseclose0.25501 Detail
WhichBrowser
v2.0.18
NetFront Life Browser 2.3Webkit 530.17Android 2.3.3S100 AMAZEmobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 2.3.3closeAndroid 2.3.3Smartphoneyesyescloseclose0.016 Detail
Zsxsoft
1.3
NetFront LifeBrowsercloseAndroid 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 08:05:27 | by ThaDafinser