User agent detail

LG-KF245 Obigo/WAP2.0 MIDP-2.0/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
LGKF245 Detail
Providers
BrowscapPhp
6012
Teleca-Obigo JAVA Mobile Phoneyes0.015 Detail
DonatjUAParser
v0.5.0
LG-KF245 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo WAP 2.0close LGKF245mobile-browseryescloseclose0.18602 Detail
PiwikDeviceDetector
3.5.2
Obigo WAP2 LGKF245smartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 2.0close LGKF245closeclosecloseclose0.004 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo WAP2 Browser WAP2 LGLGKF245closeclosecloseclosecloseclose0.40404 Detail
WhichBrowser
2.0.10
Obigo WAP 2.0 LGKF245mobile:featureyescloseclose0.017 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGKF245Feature Phoneyescloseclose0.028 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 13:26:21 | by ThaDafinser