User agent detail

Mozilla/5.0 (LG-C365 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)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGC365 Detail
Providers
BrowscapPhp
6012
Phantom Browser 2.0WebKit JAVA Mobile Phoneyes0.039 Detail
DonatjUAParser
v0.5.0
AppleWebkit 531closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Phantom 2.0close LGC365mobile-browseryescloseclose0.19402 Detail
PiwikDeviceDetector
3.5.2
Java LGC365smartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Phantom Browser 2.0close LGC365closeclosecloseclose0.007 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesJavaCrawler0.11201 Detail
WhatIsMyBrowserCom
5.0WebKit 531 LGLGC365closeclosecloseclosecloseclose0.61506 Detail
WhichBrowser
2.0.10
Phantom 2.0Webkit 531 LGC365mobile:featureyescloseclose0.01 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGLG-C365Feature Phoneyescloseclose0.027 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 13:36:24 | by ThaDafinser