User agent detail

Mozilla/5.0 (Linux; Android 4.1.2; PAD732 Build/MID) AppleWebKit/537.22 (KHTML, like Gecko) Chrome/25.0.1364.169 Safari/537.22
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close XoroPAD732closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 25.0WebKit Android 4.1Mobile Phoneyesyes0.047 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 25.0closeAndroid closecloseMobile Phoneyesyesclose0.027 Detail
DonatjUAParser
v0.5.1
Chrome 25.0.1364.169closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 25.0.1364.169closeAndroidOS 4.1.2closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 25.0.1364.169closeAndroid 4.1.2PAD732desktop-browsercloseclose0.33202 Detail
PiwikDeviceDetector
3.6.1
Chrome 25.0WebKit Android 4.1tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 25.0.1364.169closeAndroid 4.1.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 25.0.1364closeAndroid 4.1.2XoroPAD732closeclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 25.0.1364.169WebKit 537.22closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.1.2closecloseclosecloseclose0.08001 Detail
WhatIsMyBrowserCom

Chrome 25.0.1364.169WebKit 537.22Android 4.1.2closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Chrome 25Webkit 537.22Android 4.1.2PAD732tabletyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 25.0.1364.169closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 25.0.1364.169closeAndroid 4.1.2Tabletyesyescloseclose0.047 Detail
Zsxsoft
1.3
Google Chrome 25.0.1364.169closeAndroid 4.1.2closeclosecloseclosecloseclose0 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 07:54:44 | by ThaDafinser