User agent detail

Mozilla/5.0 (Linux; Android 4.0.4; JOYPAD C82 Build/IMM76D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.90 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 KingcomJOYPAD C82closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 27.0WebKit Android 4.0Mobile Phoneyesyes0.08001 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.01 Detail
BrowscapPhp
6014
Chrome 27.0closeAndroid closecloseMobile Phoneyesyesclose0.06 Detail
DonatjUAParser
v0.5.1
Chrome 27.0.1453.90closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 27.0.1453.90closeAndroidOS 4.0.4closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Chrome 27.0.1453.90closeAndroid 4.0.4JOYPAD C82desktop-browsercloseclose0.31902 Detail
PiwikDeviceDetector
3.6.1
Chrome 27.0WebKit Android 4.0tabletyes0.004 Detail
SinergiBrowserDetector
6.0.1
Chrome 27.0.1453.90closeAndroid 4.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Chrome 27.0.1453closeAndroid 4.0.4KingcomJOYPAD C82closeclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 27.0.1453.90WebKit 537.36closeclosecloseMobileclosecloseclose0.15301 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.069 Detail
WhatIsMyBrowserCom

Chrome 27.0.1453.90WebKit 537.36Android 4.0.4closeclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
Chrome 27Blink Android 4.0.4JOYPAD C82tabletyescloseclose0.003 Detail
Woothee
v1.2.0
Chrome 27.0.1453.90closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Chrome 27.0.1453.90closeAndroid 4.0.4Tabletyesyescloseclose0.018 Detail
Zsxsoft
1.3
Google Chrome 27.0.1453.90closeAndroid 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 08:03:18 | by ThaDafinser