User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; SH-08E Build/SB180) 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 SharpSH-08Eclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 33.0Blink Android 4.2Mobile Phoneyesyes0.013 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Chrome 33.0closeAndroid closecloseMobile Phoneyesyesclose0.058 Detail
DonatjUAParser
v0.5.1
Chrome 33.0.1750.136closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 33.0.1750.136closeAndroidOS 4.2.2closeclosecloseyescloseclose0.005 Detail
NeutrinoApiCom

Chrome 33.0.1750.136closeAndroid 4.2.2SharpAQUOS PAD SH-08Edesktop-browsercloseclose0.28402 Detail
PiwikDeviceDetector
3.6.1
Chrome 33.0Blink Android 4.2SharpSharp Aquos Padtabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 33.0.1750.136closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 33.0.1750closeAndroid 4.2.2SharpSH-08Ecloseclosecloseclose0.003 Detail
UserAgentApiCom

Chrome 33.0.1750.136WebKit 537.36closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.062 Detail
WhatIsMyBrowserCom

Chrome 33.0.1750.136WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.24301 Detail
WhichBrowser
v2.0.18
Chrome 33Blink Android 4.2.2SharpAQUOS PAD SH-08Etabletyescloseclose0.003 Detail
Woothee
v1.2.0
Chrome 33.0.1750.136closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 33.0.1750.136closeAndroid 4.2.2SharpSH-08ETabletyesyescloseclose0.027 Detail
Zsxsoft
1.3
Google Chrome 33.0.1750.136closeAndroid 4.2.2closeclosecloseclosecloseclose0.001 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 08:11:03 | by ThaDafinser