User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; U8 Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.64 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 PipoU8closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 28.0Blink Android 4.2Mobile Phoneyesyes0.016 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.006 Detail
BrowscapPhp
6014
Chrome 28.0closeAndroid closecloseMobile Phoneyesyesclose0.013 Detail
DonatjUAParser
v0.5.1
Chrome 28.0.1500.64closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 28.0.1500.64closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 28.0.1500.64closeAndroid 4.2.2Sony EricssonVivaz Prodesktop-browsercloseclose0.28602 Detail
PiwikDeviceDetector
3.6.1
Chrome 28.0Blink Android 4.2tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 28.0.1500.64closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 28.0.1500closeAndroid 4.2.2PipoU8closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 28.0.1500.64WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.073 Detail
WhatIsMyBrowserCom

Chrome 28.0.1500.64WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.24301 Detail
WhichBrowser
v2.0.18
Chrome Dev 28.0.1500.64Blink Android 4.2.2U8tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 28.0.1500.64closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 28.0.1500.64closeAndroid 4.2.2HisenseU8Smartphoneyesyescloseclose0.024 Detail
Zsxsoft
1.3
Google Chrome 28.0.1500.64closeAndroid 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 08:07:52 | by ThaDafinser