User agent detail

Mozilla/5.0 (Linux; Android 4.1.1; BioniQ 800 Build/JRO03C) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.82 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 ArivalBioniQ 800closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 30.0Blink Android 4.1Mobile Phoneyesyes0.0156 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0 Detail
BrowscapPhp
6014
Chrome 30.0closeAndroid closecloseMobile Phoneyesyesclose0.0312 Detail
DonatjUAParser
v0.5.1
Chrome 30.0.1599.82closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 30.0.1599.82closeAndroidOS 4.1.1closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Chrome 30.0.1599.82closeAndroid 4.1.1BioniQ 800desktop-browsercloseclose0.4836 Detail
PiwikDeviceDetector
3.6.1
Chrome 30.0Blink Android 4.1tabletyes0 Detail
SinergiBrowserDetector
6.0.1
Chrome 30.0.1599.82closeAndroid 4.1.1closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 30.0.1599closeAndroid 4.1.1ArivalBioniQ 800closeclosecloseclose0 Detail
UserAgentApiCom

Chrome 30.0.1599.82WebKit 537.36closeclosecloseMobileclosecloseclose0.2028 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.1.1closecloseclosecloseclose0.2028 Detail
WhatIsMyBrowserCom

Chrome 30.0.1599.82WebKit 537.36Android 4.1.1closeclosecloseclosecloseclose0.234 Detail
WhichBrowser
v2.0.18
Chrome 30Blink Android 4.1.1a-rivalBioniQ 800tabletyescloseclose0 Detail
Woothee
v1.2.0
Chrome 30.0.1599.82closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 30.0.1599.82closeAndroid 4.1.1Tabletyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Google Chrome 30.0.1599.82closeAndroid 4.1.1closeclosecloseclosecloseclose0 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 07:50:36 | by ThaDafinser