User agent detail

Mozilla/5.0 (Linux; Android 4.2.2; Iris78W Build/JDQ39) AppleWebKit/537.31 (KHTML, like Gecko) Chrome/26.0.1410.58 Safari/537.31
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
PiwikDeviceDetector
3.6.1
vendor/piwik/device-detector/Tests/fixtures/smartphone-2.yml
Chrome 26.0.1410.58WebKit Android 4.2.2LavaIris 78Wsmartphonecloseclose0 Detail
Providers
BrowscapFull
6014
Chrome 26.0WebKit Android 4.2Mobile Phoneyesyes0.026 Detail
BrowscapLite
6014
Chrome closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.009 Detail
BrowscapPhp
6014
Chrome 26.0closeAndroid closecloseMobile Phoneyesyesclose0.014 Detail
DonatjUAParser
v0.5.1
Chrome 26.0.1410.58closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Chrome 26.0.1410.58closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Chrome 26.0.1410.58closeAndroid 4.2.2LavaIris 78wdesktop-browsercloseclose0.31702 Detail
PiwikDeviceDetector
3.6.1
Chrome 26.0WebKit Android 4.2LavaIris 78Wsmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Chrome 26.0.1410.58closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Chrome 26.0.1410closeAndroid 4.2.2LavaIris 78Wcloseclosecloseclose0.001 Detail
UserAgentApiCom

Chrome 26.0.1410.58WebKit 537.31closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Iris 78closeAndroid 4.2.2closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

Chrome 26.0.1410.58WebKit 537.31Android 4.2.2closeclosecloseclosecloseclose0.23301 Detail
WhichBrowser
v2.0.18
Chrome Dev 26.0.1410.58Webkit 537.31Android 4.2.2LavaIris 78wmobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Chrome 26.0.1410.58closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Chrome 26.0.1410.58closeAndroid 4.2.2Tabletyesyescloseclose0.015 Detail
Zsxsoft
1.3
Iris 78WcloseAndroid 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 07:54:52 | by ThaDafinser