User agent detail

Mozilla/5.0 (Linux; Android 4.1.2; GT-S6310 Build/JZO54K) AppleWebKit/535.19 (KHTML, like Gecko) Chrome/18.0.1025.166 Mobile
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SamsungGT-S6310closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 18.0WebKit Linux Desktop0.018 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Chrome 18.0closeLinux closecloseDesktopclose0.02 Detail
DonatjUAParser
v0.5.1
Chrome 18.0.1025.166closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 18.0.1025.166closeAndroidOS 4.1.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Mobile Safari closeAndroid 4.1.2SamsungGT-S6310mobile-browseryescloseclose0.27602 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 18.0WebKit Android 4.1SamsungGALAXY Youngsmartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.1
Chrome 18.0.1025.166closeAndroid 4.1.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome Mobile 18.0.1025closeAndroid 4.1.2SamsungGT-S6310closeclosecloseclose0 Detail
UserAgentApiCom

Chrome 18.0.1025.166WebKit 535.19closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.1.2closecloseclosecloseclose0.065 Detail
WhatIsMyBrowserCom

Chrome 18.0.1025.166WebKit 535.19Android 4.1.2Samsungcloseclosecloseclosecloseclose0.26402 Detail
WhichBrowser
v2.0.18
Chrome 18Webkit 535.19Android 4.1.2SamsungGalaxy Youngmobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 18.0.1025.166closeAndroid 4.1.2SamsungGT-S6310Smartphoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 18.0.1025.166closeAndroid 4.1.2SamsungS6310closeclosecloseclosecloseclose0 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 08:11:44 | by ThaDafinser