User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; PEDI_PLUS_H Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.59 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_Hclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 29.0Blink Android 4.2Mobile Phoneyesyes0.016 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.007 Detail
BrowscapPhp
6014
Chrome 29.0closeAndroid closecloseMobile Phoneyesyesclose0.018 Detail
DonatjUAParser
v0.5.1
Chrome 29.0.1547.59closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 29.0.1547.59closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 29.0.1547.59closeAndroid 4.2.2PEDI_PLUS_Hdesktop-browsercloseclose0.31002 Detail
PiwikDeviceDetector
3.6.1
Chrome 29.0Blink Android 4.2tabletyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 29.0.1547.59closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 29.0.1547closeAndroid 4.2.2OdysPEDI_PLUS_Hcloseclosecloseclose0 Detail
UserAgentApiCom

Chrome 29.0.1547.59WebKit 537.36closeclosecloseMobileclosecloseclose0.15701 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.067 Detail
WhatIsMyBrowserCom

Chrome 29.0.1547.59WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.23801 Detail
WhichBrowser
v2.0.18
Chrome 29Blink Android 4.2.2PEDI_PLUS_Htabletyescloseclose0.004 Detail
Woothee
v1.2.0
Chrome 29.0.1547.59closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 29.0.1547.59closeAndroid 4.2.2Tabletyesyescloseclose0.017 Detail
Zsxsoft
1.3
Google Chrome 29.0.1547.59closeAndroid 4.2.2closeclosecloseclosecloseclose0.001 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 08:04:16 | by ThaDafinser