User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; HYUNDAI T7 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.136 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 HyundaiT7closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 33.0Blink Android 4.2Mobile Phoneyesyes0.018 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.01 Detail
BrowscapPhp
6014
Chrome 33.0closeAndroid closecloseMobile Phoneyesyesclose0.011 Detail
DonatjUAParser
v0.5.1
Chrome 33.0.1750.136closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 33.0.1750.136closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 33.0.1750.136closeAndroid 4.2.2HyundaiT7desktop-browsercloseclose0.27002 Detail
PiwikDeviceDetector
3.6.1
Chrome 33.0Blink Android 4.2HyundaiT7tabletyes0.002 Detail
SinergiBrowserDetector
6.0.1
Chrome 33.0.1750.136closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 33.0.1750closeAndroid 4.2.2HyundaiT7closeclosecloseclose0 Detail
UserAgentApiCom

Chrome 33.0.1750.136WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.066 Detail
WhatIsMyBrowserCom

Chrome 33.0.1750.136WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
Chrome 33Blink Android 4.2.2HyundaiT7tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 33.0.1750.136closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 33.0.1750.136closeAndroid 4.2.2Tabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 33.0.1750.136closeAndroid 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 08:11:55 | by ThaDafinser