User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.3; en_in; Celkon A58 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 CelkonA58closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
NetFrontLifeBrowser 2.3WebKit Android Mobile Phoneyesyes0.08201 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.006 Detail
BrowscapPhp
6014
NetFrontLifeBrowser 2.3closeAndroid closecloseMobile Phoneyesyesclose0.028 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 2.3.3CelkonA58mobile-browseryescloseclose0.26902 Detail
PiwikDeviceDetector
3.6.1
NetFront Life 2.3NetFront Android 2.3CelkonA58smartphoneyes0.002 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.3.3closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 2.3.3closeAndroid 2.3.3CelkonA58closeclosecloseclose0 Detail
UserAgentApiCom

Mozilla 5.0WebKit 530.17closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.3closecloseclosecloseclose0.076 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 530.17Android 2.3.3closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
NetFront Life Browser 2.3Webkit 530.17Android 2.3.3CelkonA58mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 2.3.3closeAndroid 2.3.3Smartphoneyesyescloseclose0.017 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 07:57:13 | by ThaDafinser