User agent detail

PantechP9020/JEUS04262010 NetFront/3.5 OMC/1.5.3 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
PantechP9020 Detail
Providers
BrowscapPhp
6012
NetFront 3.5NetFront Mobile Deviceyes0.05501 Detail
DonatjUAParser
v0.5.0
PantechP9020 JEUS04262010closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 3.5closeJVM PantechP9050mobile-browseryescloseclose0.18302 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.5NetFront PantechP9020smartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.5close PantechP9020closeclosecloseclose0.002 Detail
UserAgentStringCom
NetFront 3.5close closecloseclosecloseclose0.06301 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.40804 Detail
WhichBrowser
2.0.10
NetFront 3.5 PantechPursuitmobile:featureyescloseclose0.004 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Java Applet close PantechP9020Feature Phoneyescloseclose0.022 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 13:25:29 | by ThaDafinser