User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; Qilive 97R Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.92 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
MobileDetect
2.8.22
vendor/mobiledetect/mobiledetectlib/tests/providers/vendors/Archos.php
close closecloseyescloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 30.0Blink Android 4.2Mobile Phoneyesyes0.08 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Chrome 30.0closeAndroid closecloseMobile Phoneyesyesclose0.011 Detail
DonatjUAParser
v0.5.1
Chrome 30.0.1599.92closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 30.0.1599.92closeAndroidOS 4.2.2closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 30.0.1599.92closeAndroid 4.2.2QiLive9.7R Quad core tabletdesktop-browsercloseclose0.27502 Detail
PiwikDeviceDetector
3.6.1
Chrome 30.0Blink Android 4.2Qilive97Rtabletyes0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 30.0.1599.92closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 30.0.1599closeAndroid 4.2.2Qilive 97Rcloseclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 30.0.1599.92WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

Chrome 30.0.1599.92WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
Chrome 30Blink Android 4.2.2AuchanQiLive 9.7R Quad core tablettabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 30.0.1599.92closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 30.0.1599.92closeAndroid 4.2.2Tabletyesyescloseclose0.016 Detail
Zsxsoft
1.3
Google Chrome 30.0.1599.92closeAndroid 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 07:59:20 | by ThaDafinser