User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; LC0720C Build/IMM76I) 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 3QLC0720Cclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 25.0WebKit Android 4.0Mobile Phoneyesyes0.0156 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
Chrome 25.0closeAndroid closecloseMobile Phoneyesyesclose0.0312 Detail
DonatjUAParser
v0.5.1
Chrome 25.0.1364.123closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 25.0.1364.123closeAndroidOS 4.0.4closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 25.0.1364.123closeAndroid 4.0.43QQoo! Q-Pad LC0720Cdesktop-browsercloseclose0.2652 Detail
PiwikDeviceDetector
3.6.1
Chrome 25.0WebKit Android 4.03QLC0720Ctabletyes0 Detail
SinergiBrowserDetector
6.0.1
Chrome 25.0.1364.123closeAndroid 4.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 25.0.1364closeAndroid 4.0.43QLC0720Ccloseclosecloseclose0 Detail
UserAgentApiCom

Chrome 25.0.1364.123WebKit 537.22closeclosecloseMobileclosecloseclose0.158 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.1248 Detail
WhatIsMyBrowserCom

Chrome 25.0.1364.123WebKit 537.22Android 4.0.4closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Chrome 25Webkit 537.22Android 4.0.43QQoo! Q-Pad LC0720Ctabletyescloseclose0 Detail
Woothee
v1.2.0
Chrome 25.0.1364.123closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 25.0.1364.123closeAndroid 4.0.4Tabletyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Google Chrome 25.0.1364.123closeAndroid 4.0.4closeclosecloseclosecloseclose0 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 07:52:05 | by ThaDafinser