User agent detail

Mozilla/5.0 (Linux; Android 4.1.1; Aqua_7 Build/JRO03C) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.59 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 IntexAqua 7closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 29.0Blink Android 4.1Mobile Phoneyesyes0.026 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Chrome 29.0closeAndroid closecloseMobile Phoneyesyesclose0.028 Detail
DonatjUAParser
v0.5.1
Chrome 29.0.1547.59closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 29.0.1547.59closeAndroidOS 4.1.1closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 29.0.1547.59closeAndroid 4.1.1Aqua_7desktop-browsercloseclose0.32202 Detail
PiwikDeviceDetector
3.6.1
Chrome 29.0Blink Android 4.1IntexAqua 7smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 29.0.1547.59closeAndroid 4.1.1closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 29.0.1547closeAndroid 4.1.1IntexAqua 7closeclosecloseclose0.002 Detail
UserAgentApiCom

Chrome 29.0.1547.59WebKit 537.36closeclosecloseMobileclosecloseclose0.16801 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.1.1closecloseclosecloseclose0.064 Detail
WhatIsMyBrowserCom

Chrome 29.0.1547.59WebKit 537.36Android 4.1.1closeclosecloseclosecloseclose0.23401 Detail
WhichBrowser
v2.0.18
Chrome 29Blink Android 4.1.1Aqua_7tabletyescloseclose0.001 Detail
Woothee
v1.2.0
Chrome 29.0.1547.59closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Chrome 29.0.1547.59closeAndroid 4.1.1Tabletyesyescloseclose0.016 Detail
Zsxsoft
1.3
Google Chrome 29.0.1547.59closeAndroid 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 07:56:32 | by ThaDafinser