User agent detail

Mozilla/5.0 (Linux; Android 4.2.1; POV_TAB-P547(v1.0) Build/JOP40D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.59 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 POVTAB-P547(v1.0)closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 31.0Blink Android 4.2Mobile Phoneyesyes0.015 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 31.0closeAndroid closecloseMobile Phoneyesyesclose0.011 Detail
DonatjUAParser
v0.5.1
Chrome 31.0.1650.59closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 31.0.1650.59closeAndroidOS 4.2.1closeclosecloseyescloseclose0.006 Detail
NeutrinoApiCom

Chrome 31.0.1650.59closeAndroid 4.2.1Point Of ViewOnyx 547desktop-browsercloseclose0.32102 Detail
PiwikDeviceDetector
3.6.1
Chrome 31.0Blink Android 4.2Point of ViewONYX 547 Navitabletyes0.004 Detail
SinergiBrowserDetector
6.0.1
Chrome 31.0.1650.59closeAndroid 4.2.1closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 31.0.1650closeAndroid 4.2.1POVTAB-P547(v1.0)closeclosecloseclose0.003 Detail
UserAgentApiCom

Chrome 31.0.1650.59WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.1closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

Chrome 31.0.1650.59WebKit 537.36Android 4.2.1closeclosecloseclosecloseclose0.25502 Detail
WhichBrowser
v2.0.18
Chrome 31Blink Android 4.2.1Point Of ViewOnyx 547tabletyescloseclose0.003 Detail
Woothee
v1.2.0
Chrome 31.0.1650.59closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 31.0.1650.59closeAndroid 4.2.1Tabletyesyescloseclose0.016 Detail
Zsxsoft
1.3
Google Chrome 31.0.1650.59closeAndroid 4.2.1closeclosecloseclosecloseclose0 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 07:55:15 | by ThaDafinser