User agent detail

Mozilla/5.0 (Linux; U; Android 2.3.5; ko-kr; LG-L160L Build/IML74K) 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 LGL160Lclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.0WebKit Android 2.3Mobile Phoneyesyes0.027 Detail
BrowscapLite
6014
Android 4.0closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.005 Detail
BrowscapPhp
6014
Android 4.0closeAndroid closecloseMobile Phoneyesyesclose0.021 Detail
DonatjUAParser
v0.5.1
AppleWebkit 534.30closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.0closeAndroidOS 2.3.5closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Android Webkit 4.0closeAndroid 2.3.5LGL160Lmobile-browseryescloseclose0.29902 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 2.3LGL160Lsmartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.0closeAndroid 2.3.5closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Android 2.3.5closeAndroid 2.3.5LGL160Lcloseclosecloseclose0.001 Detail
UserAgentApiCom

Safari 534.30WebKit 534.30closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 2.3.5closecloseclosecloseclose0.076 Detail
WhatIsMyBrowserCom

Android Browser 4.0WebKit 534.30Android 2.3.5LGLGL160Lcloseclosecloseclosecloseclose0.26801 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 534.30Android 2.3.5LGL160Lmobile:smartyescloseclose0.002 Detail
Woothee
v1.2.0
Safari 4.0closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit 2.3.5closeAndroid 2.3.5Smartphoneyesyescloseclose0.02 Detail
Zsxsoft
1.3
Android Webkit 4.0closeAndroid 2.3.5LGL160Lcloseclosecloseclosecloseclose0 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 07:54:13 | by ThaDafinser