User agent detail

Mozilla/5.0 (Linux; U; Android KeyLimePie; xx; LG-F320L Build/KRS92B) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.2 Mobile Safari/534.30
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-android.yaml
Android Browser Webkit 534.30Android 4.4G2mobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
Android 4.2WebKit Android Mobile Phoneyesyes0.031 Detail
BrowscapLite
6014
Android 4.2closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.011 Detail
BrowscapPhp
6014
Android 4.2closeAndroid closecloseMobile Phoneyesyesclose0.022 Detail
DonatjUAParser
v0.5.1
Android Browser 4.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.2closeAndroidOS KeyLimePiecloseclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Android Webkit 4.2closeAndroid LGG2mobile-browseryescloseclose0.28902 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android LGF320Lsmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.2closeAndroid closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
Safari 4.2closeAndroid LGF320Lcloseclosecloseclose0.001 Detail
UserAgentApiCom

Safari 534.30WebKit 534.30closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid closecloseclosecloseclose0.063 Detail
WhatIsMyBrowserCom

Android Browser 4.2WebKit 534.30Android LGLGF320Lcloseclosecloseclosecloseclose0.32902 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 534.30Android 4.4LGG2mobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
Safari 4.2closeclosecloseclosesmartphoneclosecloseclose0 Detail
Wurfl
1.7.1.0
Android Webkit closeLinux Feature Phoneyesyescloseclose0.017 Detail
Zsxsoft
1.3
Android Webkit 4.2closeAndroid LGF320Lcloseclosecloseclosecloseclose0 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 07:56:56 | by ThaDafinser