User agent detail

Mozilla/5.0 (LG-T505 AppleWebkit/531 Browser/Phantom/V2.0 Widget/LGMW/3.0 MMS/LG-MMS-V1.0/1.2 Java/A
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGT505 Detail
Providers
BrowscapPhp
6012
Phantom Browser 2.0WebKit JAVA Mobile Phoneyes0.06301 Detail
DonatjUAParser
v0.5.0
AppleWebkit 531closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Phantom 2.0close LGT505mobile-browseryescloseclose0.191 Detail
PiwikDeviceDetector
3.5.2
Java LGT505smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Phantom Browser 2.0close LGT505closeclosecloseclose0.014 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesJavaCrawler0.059 Detail
WhatIsMyBrowserCom
Mozilla 5.0WebKit 531 LGLGT505closeclosecloseclosecloseclose0.411 Detail
WhichBrowser
2.0.10
Phantom 2.0Webkit 531 LGT505mobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
No result found

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 13:28:00 | by ThaDafinser