User agent detail

Mozilla/5.0 (Linux; Android 4.1.2; GT-I8260 Build/JZO54K) AppleWebKit/537.31 (KHTML, like Gecko) Chrome/26.0.1410.58 Mobile S
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SamsungGT-I8260closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 26.0WebKit Linux Desktop0.018 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Chrome 26.0closeLinux closecloseDesktopclose0.02 Detail
DonatjUAParser
v0.5.1
Chrome 26.0.1410.58closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Chrome 26.0.1410.58closeAndroidOS 4.1.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Mobile Safari closeAndroid 4.1.2SamsungGT-I8260mobile-browseryescloseclose0.28802 Detail
PiwikDeviceDetector
3.6.1
Chrome Mobile 26.0WebKit Android 4.1SamsungGALAXY Coresmartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.1
Chrome 26.0.1410.58closeAndroid 4.1.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome Mobile 26.0.1410closeAndroid 4.1.2SamsungGT-I8260closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 26.0.1410.58WebKit 537.31closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.1.2closecloseclosecloseclose0.08 Detail
WhatIsMyBrowserCom

Chrome 26.0.1410.58WebKit 537.31Android 4.1.2Samsungcloseclosecloseclosecloseclose0.24101 Detail
WhichBrowser
v2.0.18
Chrome Dev 26.0.1410.58Webkit 537.31Android 4.1.2SamsungGalaxy Coremobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 26.0.1410.58closeAndroid 4.1.2SamsungGT-I8260Smartphoneyesyescloseclose0.02 Detail
Zsxsoft
1.3
Google Chrome 26.0.1410.58closeAndroid 4.1.2SamsungI8260closeclosecloseclosecloseclose0.001 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 08:05:40 | by ThaDafinser