User agent detail

Mozilla/5.0 (Linux; Android 4.1.1; JXD-P1000 Build/JRO03C) AppleWebKit/537.22 (KHTML, like Gecko) Chrome/25.0.1364.123 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 JXDP1000closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 25.0WebKit Android 4.1Mobile Phoneyesyes0.028 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 25.0closeAndroid closecloseMobile Phoneyesyesclose0.033 Detail
DonatjUAParser
v0.5.1
Chrome 25.0.1364.123closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 25.0.1364.123closeAndroidOS 4.1.1closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 25.0.1364.123closeAndroid 4.1.1JXDP1000desktop-browsercloseclose0.28002 Detail
PiwikDeviceDetector
3.6.1
Chrome 25.0WebKit Android 4.1tabletyes0.007 Detail
SinergiBrowserDetector
6.0.1
Chrome 25.0.1364.123closeAndroid 4.1.1closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 25.0.1364closeAndroid 4.1.1JXDP1000closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 25.0.1364.123WebKit 537.22closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.1.1closecloseclosecloseclose0.08201 Detail
WhatIsMyBrowserCom

Chrome 25.0.1364.123WebKit 537.22Android 4.1.1closeclosecloseclosecloseclose0.33702 Detail
WhichBrowser
v2.0.18
Chrome 25Webkit 537.22Android 4.1.1JXDP1000tabletyescloseclose0.003 Detail
Woothee
v1.2.0
Chrome 25.0.1364.123closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 25.0.1364.123closeAndroid 4.1.1Tabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 25.0.1364.123closeAndroid 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 08:11:56 | by ThaDafinser