User agent detail

Mozilla/5.0 (Linux; Android 4.2.9; H9900 Build/JOP40D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.99 Mobile Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close HeroH9900closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 32.0Blink Android 4.2Mobile Phoneyesyes0.014 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 32.0closeAndroid closecloseMobile Phoneyesyesclose0.014 Detail
DonatjUAParser
v0.5.1
Chrome 32.0.1700.99closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 32.0.1700.99closeAndroidOS 4.2.9closeclosecloseyescloseclose0.004 Detail
NeutrinoApiCom

Chrome Mobile 32.0.1700.99closeAndroid 4.2.9H9900mobile-browseryescloseclose0.33402 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 32.0Blink Android 4.2smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 32.0.1700.99closeAndroid 4.2.9closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome Mobile 32.0.1700closeAndroid 4.2.9HeroH9900closeclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 32.0.1700.99WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.9closecloseclosecloseclose0.082 Detail
WhatIsMyBrowserCom

Chrome 32.0.1700.99WebKit 537.36Android 4.2.9closeclosecloseclosecloseclose0.24801 Detail
WhichBrowser
v2.0.18
Chrome 32Blink Android 4.2.9H9900mobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 32.0.1700.99closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 32.0.1700.99closeAndroid 4.2.9Smartphoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 32.0.1700.99closeAndroid 4.2.9closeclosecloseclosecloseclose0 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 07:53:53 | by ThaDafinser