User agent detail

Mozilla/5.0 (LG-C195 AppleWebkit/531 Browser/Phantom/V2.0 Widget/LGMW/3.0 MMS/LG-MMS-V1.0/1.2 Java/ASVM/1.1 Profile/MIDP-2.1 Configuration/CLDC-1.1)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/header-wap.yaml
Phantom 2.0 Webkit 531LGC195mobile:featureyes Detail
Providers
BrowscapPhp
6012
Phantom Browser 2.0WebKit JAVA Mobile Phoneyes0.128 Detail
DonatjUAParser
v0.5.0
AppleWebkit 531closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Phantom 2.0close LGC195mobile-browseryescloseclose0.22202 Detail
PiwikDeviceDetector
3.5.2
Java LGC195smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.002 Detail
UAParser
v3.4.5
Phantom Browser 2.0close LGC195closeclosecloseclose0.01 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesJavaCrawler0.09001 Detail
WhatIsMyBrowserCom
5.0WebKit 531 LGLGC195closeclosecloseclosecloseclose0.40904 Detail
WhichBrowser
2.0.10
Phantom 2.0Webkit 531 LGC195mobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGLG-C195Feature Phoneyescloseclose0.017 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 2016-02-13 13:28:10 | by ThaDafinser