User agent detail

Mozilla/5.0 (LG-C205 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
LGC205 Detail
Providers
BrowscapPhp
6012
Phantom Browser 2.0WebKit JAVA Mobile Phoneyes0.029 Detail
DonatjUAParser
v0.5.0
AppleWebkit 531closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Phantom 2.0close LGC205mobile-browseryescloseclose0.20498 Detail
PiwikDeviceDetector
3.5.2
Java LGC205smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Phantom Browser 2.0close LGC205closeclosecloseclose0.007 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesJavaCrawler0.13699 Detail
WhatIsMyBrowserCom
5.0WebKit 531 LGLGC205closeclosecloseclosecloseclose0.41596 Detail
WhichBrowser
2.0.10
Phantom 2.0Webkit 531 LGC205mobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGC205Feature Phoneyescloseclose0.02 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 13:34:52 | by ThaDafinser