User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; TP7-1200QC Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.136 Safari/537.36
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close ionikTP7-1200QCclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 33.0Blink Android 4.2Mobile Phoneyesyes0.027 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 33.0closeAndroid closecloseMobile Phoneyesyesclose0.011 Detail
DonatjUAParser
v0.5.1
Chrome 33.0.1750.136closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 33.0.1750.136closeAndroidOS 4.2.2closeclosecloseyescloseclose0.006 Detail
NeutrinoApiCom

Chrome 33.0.1750.136closeAndroid 4.2.2TP7-1200QCdesktop-browsercloseclose0.31002 Detail
PiwikDeviceDetector
3.6.1
Chrome 33.0Blink Android 4.2tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 33.0.1750.136closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 33.0.1750closeAndroid 4.2.2ionikTP7-1200QCcloseclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 33.0.1750.136WebKit 537.36closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.066 Detail
WhatIsMyBrowserCom

Chrome 33.0.1750.136WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.24301 Detail
WhichBrowser
v2.0.18
Chrome 33Blink Android 4.2.2TP7-1200QCtabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 33.0.1750.136closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 33.0.1750.136closeAndroid 4.2.2Tabletyesyescloseclose0.018 Detail
Zsxsoft
1.3
Google Chrome 33.0.1750.136closeAndroid 4.2.2closeclosecloseclosecloseclose0.001 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 08:03:53 | by ThaDafinser