User agent detail

Mozilla/5.0 (LG-T395 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
LGT395 Detail
Providers
BrowscapPhp
6012
Phantom Browser 2.0WebKit JAVA Mobile Phoneyes0.026 Detail
DonatjUAParser
v0.5.0
AppleWebkit 531closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Phantom 2.0close LGT395mobile-browseryescloseclose0.29103 Detail
PiwikDeviceDetector
3.5.2
Java LGT395smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Phantom Browser 2.0close LGT395closeclosecloseclose0.002 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesJavaCrawler0.16502 Detail
WhatIsMyBrowserCom
5.0WebKit 531 LGLGT395closeclosecloseclosecloseclose0.41004 Detail
WhichBrowser
2.0.10
Phantom 2.0Webkit 531 LGT395mobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGT395Feature Phoneyesyescloseclose0.032 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 13:28:12 | by ThaDafinser