User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; GSmart GS202 Build/IMM76D) AppleWebKit/535.19 (KHTML, like Gecko) Chrome/18.0.1025.166 Mob
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close GigabyteGSmart GS202closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 18.0WebKit Linux Desktop0.062 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Chrome 18.0closeLinux closecloseDesktopclose0.033 Detail
DonatjUAParser
v0.5.1
Chrome 18.0.1025.166closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 18.0.1025.166closeAndroidOS 4.0.4closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 18.0.1025.166closeAndroid 4.0.4GigabyteGSmart GS202desktop-browsercloseclose0.26701 Detail
PiwikDeviceDetector
3.6.1
Chrome 18.0WebKit Android 4.0GigabyteGSmart GS202smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.1
Chrome 18.0.1025.166closeAndroid 4.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 18.0.1025closeAndroid 4.0.4GigabyteGSmart GS202closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 18.0.1025.166WebKit 535.19closeclosecloseMobileclosecloseclose0.16601 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.08201 Detail
WhatIsMyBrowserCom

Chrome 18.0.1025.166WebKit 535.19Android 4.0.4closeclosecloseclosecloseclose0.41502 Detail
WhichBrowser
v2.0.18
Chrome 18Webkit 535.19Android 4.0.4GigabyteGSmart GS202mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 18.0.1025.166closeAndroid 4.0.4GigabyteGSmart GS202Smartphoneyesyescloseclose0.02 Detail
Zsxsoft
1.3
Google Chrome 18.0.1025.166closeAndroid 4.0.4closeclosecloseclosecloseclose0 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 08:01:49 | by ThaDafinser