User agent detail

Mozilla/5.0 (LG-T385 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
LGT385 Detail
Providers
BrowscapPhp
6012
Phantom Browser 2.0WebKit JAVA Mobile Phoneyes0.10001 Detail
DonatjUAParser
v0.5.0
AppleWebkit 531closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Phantom 2.0close LGT385mobile-browseryescloseclose0.224 Detail
PiwikDeviceDetector
3.5.2
Java LGT385smartphoneyes0.012 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Phantom Browser 2.0close LGT385closeclosecloseclose0.008 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesJavaCrawler0.135 Detail
WhatIsMyBrowserCom
5.0WebKit 531 LGLGT385closeclosecloseclosecloseclose0.411 Detail
WhichBrowser
2.0.10
Phantom 2.0Webkit 531 LGT385mobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGT385Feature Phoneyesyescloseclose0.023 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 13:31:30 | by ThaDafinser