User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.2; en-us; GFIVE A5 Build/JDQ39) AppleWebKit/534.24 (KHTML, like Gecko) FlyFlow/3.1 Version/4.0 Mobile Safari/534.24 T5/2.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-851.php
FlyFlow 3.1T5 unknownAndroid 4.2GFiveA5Mobile Phoneyesyes0 Detail
Providers
BrowscapFull
6014
FlyFlow 3.1T5 Android 4.2GFiveA5Mobile Phoneyesyes0.0156 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
FlyFlow 3.1closeAndroid closecloseMobile Phoneyesyesclose0.0156 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 4.2.2closeclosecloseyescloseclose0.0156 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 4.2.2GFiveA5mobile-browseryescloseclose0.2652 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 4.2yes0 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Baidu Explorer 3.1closeAndroid 4.2.2GfiveA5closeclosecloseclose0 Detail
UserAgentApiCom

Safari 534.24WebKit 534.24closeclosecloseMobileclosecloseclose0.156 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.0936 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 534.24Android 4.2.2closeclosecloseclosecloseclose0.2496 Detail
WhichBrowser
v2.0.18
Baidu Browser 3.1Webkit 534.24Android 4.2.2GFiveA5mobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.2.2closeAndroid 4.2.2Smartphoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 4.2.2closeclosecloseclosecloseclose0 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 07:52:00 | by ThaDafinser