User agent detail

LG-E500/V100 Obigo/Q7.3 MMS/LG-MMS-V1.1/1.2 MediaPlayer/LGPlayer/1.0 Java/ASVM/1.1 Profile/MIDP-2.1 Configuration/CLDC-1.1,gzip(gfe)
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
LGE500 Detail
Providers
BrowscapPhp
6012
Teleca-Obigo 7.0 JAVA Mobile Phoneyes0.061 Detail
DonatjUAParser
v0.5.0
LG-E500 V100closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Obigo closeJVM LGE500mobile-browseryescloseclose0.19006 Detail
PiwikDeviceDetector
3.5.2
Obigo Q7 LGE500smartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 7.3close LGE500closeclosecloseclose0.008 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesJavaCrawler0.07402 Detail
WhatIsMyBrowserCom
Obigo Q7 Browser Q7 LGLGE500closeclosecloseclosecloseclose0.40712 Detail
WhichBrowser
2.0.10
Obigo Q 7.3 LGE500mobile:featureyescloseclose0.013 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Teleca Obigo Q7.3close LGE500Feature Phoneyesyescloseclose0.031 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 13:37:20 | by ThaDafinser