User agent detail

LG-GW300 Teleca/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
LGGW300 Detail
Providers
BrowscapPhp
6012
Teleca-Obigo JAVA Mobile Phoneyes0.023 Detail
DonatjUAParser
v0.5.0
LG-GW300 closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo closeJVM LGGW300mobile-browseryescloseclose0.19 Detail
PiwikDeviceDetector
3.5.2
Obigo LGGW300smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Teleca Browser close LGGW300closeclosecloseclose0.011 Detail
UserAgentStringCom
Teleca-Obigo close closecloseclosecloseclose0.065 Detail
WhatIsMyBrowserCom
LGLGGW300closeclosecloseclosecloseclose0.409 Detail
WhichBrowser
2.0.10
Obigo WAP 2.0 LGGW300mobile:featureyescloseclose0.014 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGGW300Feature 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 13:27:57 | by ThaDafinser