User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; IRON Build/JDQ39) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.57 Safari/537.36 OPR/18.0.1290.66961
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close OdysIRONclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera Mobile 18.0Blink Android 4.2Mobile Phoneyesyes0.054 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.008 Detail
BrowscapPhp
6014
Opera Mobile 18.0closeAndroid closecloseMobile Phoneyesyesclose0.012 Detail
DonatjUAParser
v0.5.1
Opera Next 18.0.1290.66961closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Opera 18.0.1290.66961closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Opera Mobile 18.0.1290.66961closeAndroid 4.2.2IRONmobile-browseryescloseclose0.30402 Detail
PiwikDeviceDetector
3.6.1
Opera 18.0Blink Android 4.2yes0.003 Detail
SinergiBrowserDetector
6.0.1
Opera 18.0.1290.66961closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Opera 18.0.1290closeAndroid 4.2.2OdysIRONcloseclosecloseclose0.002 Detail
UserAgentApiCom

Opera 18.0.1290.66961WebKit 537.36closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Iron closeAndroid 4.2.2closecloseclosecloseclose0.089 Detail
WhatIsMyBrowserCom

SRWare Iron WebKit 537.36Android 4.2.2closeclosecloseclosecloseclose0.24101 Detail
WhichBrowser
v2.0.18
Opera 18.0Blink Android 4.2.2IRONtabletyescloseclose0.002 Detail
Woothee
v1.2.0
Opera 18.0.1290.66961closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera 18.0.1290.66961closeAndroid 4.2.2Tabletyesyescloseclose0.016 Detail
Zsxsoft
1.3
SRWare Iron closeAndroid 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 08:12:01 | by ThaDafinser