User agent detail

Mozilla/5.0 (Linux; Android 4.1.1; AQUILA 097-1016 Build/JRO03C) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.94 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 CmxAQUILA 097-1016closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 28.0Blink Android 4.1Mobile Phoneyesyes0.026 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Chrome 28.0closeAndroid closecloseMobile Phoneyesyesclose0.028 Detail
DonatjUAParser
v0.5.1
Chrome 28.0.1500.94closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 28.0.1500.94closeAndroidOS 4.1.1closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 28.0.1500.94closeAndroid 4.1.1AQUILA 097-1016desktop-browsercloseclose0.29802 Detail
PiwikDeviceDetector
3.6.1
Chrome 28.0Blink Android 4.1tabletyes0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 28.0.1500.94closeAndroid 4.1.1closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 28.0.1500closeAndroid 4.1.1CmxAQUILA 097-1016closeclosecloseclose0 Detail
UserAgentApiCom

Chrome 28.0.1500.94WebKit 537.36closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.1.1closecloseclosecloseclose0.065 Detail
WhatIsMyBrowserCom

Chrome 28.0.1500.94WebKit 537.36Android 4.1.1closeclosecloseclosecloseclose0.42702 Detail
WhichBrowser
v2.0.18
Chrome Dev 28.0.1500.94Blink Android 4.1.1AQUILA 097-1016tabletyescloseclose0.003 Detail
Woothee
v1.2.0
Chrome 28.0.1500.94closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 28.0.1500.94closeAndroid 4.1.1Tabletyesyescloseclose0.018 Detail
Zsxsoft
1.3
Google Chrome 28.0.1500.94closeAndroid 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 07:57:18 | by ThaDafinser