User agent detail

Mozilla/5.0 (Linux; U; Android 4.0.4; pl-pl; SMP35-200 Build/1.0.1107_20131104) 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 YarvikSMP35-200closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 4.0Mobile Phoneyesyes0.07901 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.019 Detail
DonatjUAParser
v0.5.1
Android Browser 4.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 4.0.4closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 4.0.4SMP35-200mobile-browseryescloseclose0.29402 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 4.0yes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 4.0.4closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 4.0.4closeAndroid 4.0.4YarvikSMP35-200closeclosecloseclose0.002 Detail
UserAgentApiCom

Safari 534.30WebKit 534.30closeclosecloseMobileclosecloseclose0.16801 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.0.4closecloseclosecloseclose0.077 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 534.30Android 4.0.4closeclosecloseclosecloseclose0.24901 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 534.30Android 4.0.4SMP35-200mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 4.0.4closeAndroid 4.0.4Smartphoneyesyescloseclose0.016 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 4.0.4closeclosecloseclosecloseclose0 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 08:02:07 | by ThaDafinser