User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; GT-I9192 Build/JDQ39) AppleWebKit/537.22 (KHTML, like Gecko) Chrome/25.0.1364.172 YaBrowse
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SamsungGT-I9192closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 25.0WebKit Linux Desktop0.04 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Chrome 25.0closeLinux closecloseDesktopclose0.032 Detail
DonatjUAParser
v0.5.1
Chrome 25.0.1364.172closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 25.0.1364.172closeAndroidOS 4.2.2closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 25.0.1364.172closeAndroid 4.2.2SamsungGalaxy S4 Mini Duosdesktop-browsercloseclose0.31802 Detail
PiwikDeviceDetector
3.6.1
Chrome 25.0WebKit Android 4.2SamsungGT-I9192smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.1
Chrome 25.0.1364.172closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 25.0.1364closeAndroid 4.2.2SamsungGT-I9192closeclosecloseclose0 Detail
UserAgentApiCom

Chrome 25.0.1364.172WebKit 537.22closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

ABrowse closeAndroid 4.2.2closecloseclosecloseclose0.075 Detail
WhatIsMyBrowserCom

Chrome 25.0.1364.172WebKit 537.22Android 4.2.2Samsungcloseclosecloseclosecloseclose0.42102 Detail
WhichBrowser
v2.0.18
Chrome 25Webkit 537.22Android 4.2.2SamsungGalaxy S4 Mini Duosmobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 25.0.1364.172closeAndroid 4.2.2SamsungGT-I9192Smartphoneyesyescloseclose0.02 Detail
Zsxsoft
1.3
Google Chrome 25.0.1364.172closeAndroid 4.2.2SamsungI9192closeclosecloseclosecloseclose0.001 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 07:55:04 | by ThaDafinser