User agent detail

LG-GD350/V100 Obigo/WAP2.0 Profile/MIDP-2.1 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
browscap/browscap
/tests/fixtures/issues/issue-096.php
Teleca-Obigo 0.0JAVA unknownunknown LGGD350Mobile Phoneyes Detail
Providers
BrowscapPhp
6012
Teleca-Obigo JAVA LGGD350Mobile Phoneyes0.012 Detail
DonatjUAParser
v0.5.0
LG-GD350 V100closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Obigo closeJVM LGLG-GD350mobile-browseryescloseclose0.19302 Detail
PiwikDeviceDetector
3.5.2
Obigo WAP2 LGGD350smartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
Obigo 2.0close LGGD350closeclosecloseclose0.014 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Obigo WAP2 Browser WAP2 LGLGGD350closeclosecloseclosecloseclose0.40504 Detail
WhichBrowser
2.0.10
Obigo WAP 2.0 LGGD350mobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close LGLG-GD350Feature Phoneyescloseclose0.014 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 13:40:09 | by ThaDafinser