User agent detail

Mozilla/5.0 (Linux; Android 4.1.1; T-17P Build/JRO03H) 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 AudiosonicT-17Pclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 25.0WebKit Android 4.1Mobile Phoneyesyes0.019 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Chrome 25.0closeAndroid closecloseMobile Phoneyesyesclose0.029 Detail
DonatjUAParser
v0.5.1
Chrome 25.0.1364.169closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 25.0.1364.169closeAndroidOS 4.1.1closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 25.0.1364.169closeAndroid 4.1.1T-17Pdesktop-browsercloseclose0.30502 Detail
PiwikDeviceDetector
3.6.1
Chrome 25.0WebKit Android 4.1tabletyes0.009 Detail
SinergiBrowserDetector
6.0.1
Chrome 25.0.1364.169closeAndroid 4.1.1closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 25.0.1364closeAndroid 4.1.1AudiosonicT-17Pcloseclosecloseclose0 Detail
UserAgentApiCom

Chrome 25.0.1364.169WebKit 537.22closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.1.1closecloseclosecloseclose0.059 Detail
WhatIsMyBrowserCom

Chrome 25.0.1364.169WebKit 537.22Android 4.1.1closeclosecloseclosecloseclose0.42102 Detail
WhichBrowser
v2.0.18
Chrome 25Webkit 537.22Android 4.1.1T-17Ptabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 25.0.1364.169closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 25.0.1364.169closeAndroid 4.1.1Tabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 25.0.1364.169closeAndroid 4.1.1closeclosecloseclosecloseclose0 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 08:10:13 | by ThaDafinser