User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; AT7-A Build/JDQ39) 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 ToshibaAT7-Aclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 31.0Blink Android 4.2Mobile Phoneyesyes0.025 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Chrome 31.0closeAndroid closecloseMobile Phoneyesyesclose0.015 Detail
DonatjUAParser
v0.5.1
Chrome 31.0.1650.59closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 31.0.1650.59closeAndroidOS 4.2.2closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 31.0.1650.59closeAndroid 4.2.2ToshibaExcite AT7-Adesktop-browsercloseclose0.27802 Detail
PiwikDeviceDetector
3.6.1
Chrome 31.0Blink Android 4.2tabletyes0.008 Detail
SinergiBrowserDetector
6.0.1
Chrome 31.0.1650.59closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 31.0.1650closeAndroid 4.2.2ToshibaAT7-Acloseclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 31.0.1650.59WebKit 537.36closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.061 Detail
WhatIsMyBrowserCom

Chrome 31.0.1650.59WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
Chrome 31Blink Android 4.2.2ToshibaExcite AT7-Atabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 31.0.1650.59closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 31.0.1650.59closeAndroid 4.2.2ToshibaAT7-ATabletyesyescloseclose0.024 Detail
Zsxsoft
1.3
Google Chrome 31.0.1650.59closeAndroid 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 08:04:43 | by ThaDafinser