User agent detail

Mozilla/5.0 (Vodafone/1.0/LG-BL20/V10b Browser/Obigo-Q7.3 MMS/LG-MMS-V1.0/1.2 MediaPlayer/LGPlayer/1.0 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
LGBL20 Detail
Providers
BrowscapPhp
6012
Teleca-Obigo 7.0 JAVA Mobile Phoneyes0.06901 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
Obigo closeJVM LGBL20mobile-browseryescloseclose0.33103 Detail
PiwikDeviceDetector
3.5.2
Obigo LGBL20smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Obigo 7.3close LGBL20closeclosecloseclose0.008 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesJavaCrawler3.27733 Detail
WhatIsMyBrowserCom
Obigo Browser LGLGBL20closeclosecloseclosecloseclose0.58606 Detail
WhichBrowser
2.0.10
Obigo Q 7.3 LGBL20mobile:featureyescloseclose0.018 Detail
Woothee
v1.2.0
SoftBank Mobile LG-BL20closeclosecloseclosemobilephoneclosecloseclose0 Detail
Wurfl
1.6.4
Java Applet close LGBL20Feature Phoneyescloseclose0.026 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 13:42:18 | by ThaDafinser