User agent detail

LG-A155/V100 Obigo/Q05A 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
LGA155 Detail
Providers
BrowscapPhp
6012
Teleca-Obigo 5.0 JAVA Mobile Phoneyes0.043 Detail
DonatjUAParser
v0.5.0
LG-A155 V100closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
Obigo closeJVM LGA155mobile-browseryescloseclose0.22202 Detail
PiwikDeviceDetector
3.5.2
Obigo Q05A LGA155smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 5close LGA155closeclosecloseclose0.003 Detail
UserAgentStringCom
close closeclosecloseclosecloseyesJavaCrawler0.07701 Detail
WhatIsMyBrowserCom
Obigo Q05A Browser Q05A LGLGA155closeclosecloseclosecloseclose0.40604 Detail
WhichBrowser
2.0.10
Obigo Q 5A LGA155mobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Teleca Obigo Q05Aclose LGA155Feature Phoneyescloseclose0.03 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 13:34:34 | by ThaDafinser