User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; PEDI_PLUS_JR Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.99 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 OdysPEDI_PLUS_JRclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 32.0Blink Android 4.2Mobile Phoneyesyes0.09801 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 32.0closeAndroid closecloseMobile Phoneyesyesclose0.029 Detail
DonatjUAParser
v0.5.1
Chrome 32.0.1700.99closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 32.0.1700.99closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 32.0.1700.99closeAndroid 4.2.2PEDI_PLUS_JRdesktop-browsercloseclose0.28902 Detail
PiwikDeviceDetector
3.6.1
Chrome 32.0Blink Android 4.2tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 32.0.1700.99closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 32.0.1700closeAndroid 4.2.2OdysPEDI_PLUS_JRcloseclosecloseclose0.003 Detail
UserAgentApiCom

Chrome 32.0.1700.99WebKit 537.36closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.13701 Detail
WhatIsMyBrowserCom

Chrome 32.0.1700.99WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.23201 Detail
WhichBrowser
v2.0.18
Chrome 32Blink Android 4.2.2PEDI_PLUS_JRtabletyescloseclose0.004 Detail
Woothee
v1.2.0
Chrome 32.0.1700.99closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 32.0.1700.99closeAndroid 4.2.2Tabletyesyescloseclose0.016 Detail
Zsxsoft
1.3
Google Chrome 32.0.1700.99closeAndroid 4.2.2closeclosecloseclosecloseclose0 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 08:12:22 | by ThaDafinser