User agent detail

Mozilla/5.0 (Linux; U; Android 4.1.2; ja-jp; N-03E Build/A7202901) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 Mobile Safari/534.30 YJApp-ANDROID jp.co.yahoo.android.yjtop/2.4.29
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-635.php
Yahoo! App 2.4WebKit unknownAndroid 4.1NTT DoCoMoN-03EMobile Phoneyesyes0 Detail
Providers
BrowscapFull
6014
Yahoo! App 2.4WebKit Android 4.1NTT DoCoMoN-03EMobile Phoneyesyes0 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
Yahoo! App 2.4closeAndroid closecloseMobile Phoneyesyesclose0.0156 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
close closecloseclosecloseyesYahooclose0 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 4.1.2DoCoMoN-03Emobile-browseryescloseclose0.2964 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 4.1yes0 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 4.1.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 4.1.2closeAndroid 4.1.2NecN-03Ecloseclosecloseclose0 Detail
UserAgentApiCom

closeclosecloseclosecloseyesYahooclose0.156 Detail
UserAgentStringCom

Android Webkit Browser closeandroid closecloseclosecloseclose0.078 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 534.30Android 4.1.2closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 534.30Android 4.1.2NECN-03Emobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.1.2closeAndroid 4.1.2DoCoMoN-03ESmartphoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 4.1.2closeclosecloseclosecloseclose0 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 07:51:04 | by ThaDafinser