User agent detail

Mozilla/5.0 (Linux; U; Android 1.5; en-gb; LG KH5200 Build/CUPCAKE) AppleWebKit/528.5+ (KHTML, like Gecko) Version/3.1.2 Mobile Safari/525.20.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close LGKH5200closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 3.1WebKit Android 1.5Mobile Phoneyesyes0.0468 Detail
BrowscapLite
6014
Safari closeLinux closecloseDesktopcloseclosecloseclose0.0156 Detail
BrowscapPhp
6014
Android 3.1closeAndroid closecloseMobile Phoneyesyesclose0.0312 Detail
DonatjUAParser
v0.5.1
Android Browser 3.1.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 3.1.2closeAndroidOS 1.5closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Android Webkit 3.1.2closeAndroid 1.5LGKH5200mobile-browseryescloseclose0.2808 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 1.5LGKH5200smartphoneyes0 Detail
SinergiBrowserDetector
6.0.1
Navigator 3.1.2closeAndroid 1.5closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 1.5closeAndroid 1.5LGKH5200closeclosecloseclose0 Detail
UserAgentApiCom

Safari 525.20.1WebKit 528.5closeclosecloseMobileclosecloseclose0.1404 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 1.5closecloseclosecloseclose0.1404 Detail
WhatIsMyBrowserCom

Android Browser 3.1.2WebKit 528.5Android 1.5closeclosecloseclosecloseclose0.4212 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 528.5Android 1.5LGAndro-1mobile:smartyescloseclose0.0156 Detail
Woothee
v1.2.0
Safari 3.1.2closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 1.5closeAndroid 1.5LGKH5200Feature Phoneyesyescloseclose0.0156 Detail
Zsxsoft
1.3
Android Webkit 3.1.2closeAndroid 1.5LGKH5200closeclosecloseclosecloseclose0 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 07:51:15 | by ThaDafinser