User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.2; ru-; IQ454 Build/JDQ39) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 Mobile Safari/534.30
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close FlyIQ454closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 4.2Mobile Phoneyesyes0.018 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.006 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.014 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 4.2.2closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 4.2.2FlyIQ454 Evo Tech 1mobile-browseryescloseclose0.30702 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 4.2FlyEvo Tech 1smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 4.2.2closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 4.2.2closeAndroid 4.2.2FlyIQ454closeclosecloseclose0 Detail
UserAgentApiCom

Safari 534.30WebKit 534.30closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.08 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 534.30Android 4.2.2closeclosecloseclosecloseclose0.23701 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 534.30Android 4.2.2FlyIQ454 Evo Tech 1mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.2.2closeAndroid 4.2.2Smartphoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 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 07:54:18 | by ThaDafinser