User agent detail

Mozilla/5.0 (Linux; U; Android 4.1.1; xx; YunOS/2.1.0-R1-20130910.0853) AppleWebKit/536.28 (KHTML, like Gecko) Version/4.0 Mobile Safari/536.28 Tanggula/0.1.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-aliyun.yaml
Aliyun Browser Webkit 536.28Aliyun OS 2.1.0mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 4.1Mobile Phoneyesyes0.078 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.078 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 4.1.1closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 4.1.1mobile-browseryescloseclose0.2028 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit YunOs 2.1yes0 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 4.1.1closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 4.1.1closeAndroid 4.1.1closeclosecloseclose0 Detail
UserAgentApiCom

Safari 536.28WebKit 536.28closeclosecloseMobileclosecloseclose0.1414 Detail
UserAgentStringCom

Android Webkit Browser closeOS/2 closecloseclosecloseclose0.0624 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 536.28Android 4.1.1closeclosecloseclosecloseclose0.2652 Detail
WhichBrowser
v2.0.18
Aliyun Browser Webkit 536.28Aliyun OS 2.1.0mobile:smartyescloseclose0 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.1.1closeAndroid 4.1.1Smartphoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 4.1.1closeclosecloseclosecloseclose0 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 07:51:37 | by ThaDafinser