User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; OnePAD 90 Build/IMM76D) 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 AirisOnePAD 90closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 28.0Blink Android 4.0Mobile Phoneyesyes0.053 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.01 Detail
BrowscapPhp
6014
Chrome 28.0closeAndroid closecloseMobile Phoneyesyesclose0.03 Detail
DonatjUAParser
v0.5.1
Chrome 28.0.1500.64closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 28.0.1500.64closeAndroidOS 4.0.4closeclosecloseyescloseclose0.003 Detail
NeutrinoApiCom

Chrome 28.0.1500.64closeAndroid 4.0.4OnePAD 90desktop-browsercloseclose0.29602 Detail
PiwikDeviceDetector
3.6.1
Chrome 28.0Blink Android 4.0tabletyes0.01 Detail
SinergiBrowserDetector
6.0.1
Chrome 28.0.1500.64closeAndroid 4.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 28.0.1500closeAndroid 4.0.4AirisOnePAD 90closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 28.0.1500.64WebKit 537.36closeclosecloseMobileclosecloseclose0.15501 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.061 Detail
WhatIsMyBrowserCom

Chrome 28.0.1500.64WebKit 537.36Android 4.0.4closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Chrome Dev 28.0.1500.64Blink Android 4.0.4OnePAD 90tabletyescloseclose0.003 Detail
Woothee
v1.2.0
Chrome 28.0.1500.64closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 28.0.1500.64closeAndroid 4.0.4Tabletyesyescloseclose0.018 Detail
Zsxsoft
1.3
Google Chrome 28.0.1500.64closeAndroid 4.0.4closeclosecloseclosecloseclose0.001 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 08:06:10 | by ThaDafinser