User agent detail

PantechP6030/JZUS09022013 BMP/1.0.4 DeviceId/141030 NetFront/4.1 OMC/1.5.3 Profile/MIDP-2.1 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/os-brew.yaml
NetFront 4.1Brew 1.0.4 PantechReneumobile:featureyes Detail
Providers
BrowscapPhp
6012
NetFront 4.1NetFront Mobile Deviceyes0.043 Detail
DonatjUAParser
v0.5.0
PantechP6030 JZUS09022013closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
NetFront 4.1closeJVM PantechP6030mobile-browseryescloseclose0.187 Detail
PiwikDeviceDetector
3.5.2
NetFront 4.1NetFront Brew 1.0PantechP6030smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 4.1closeBrew MP 1.0.4PantechP6030closeclosecloseclose0.005 Detail
UserAgentStringCom
NetFront 4.1close closecloseclosecloseclose0.063 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.402 Detail
WhichBrowser
2.0.10
NetFront 4.1 Brew MP 1.0.4PantechReneumobile:featureyescloseclose0.009 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 4.1close PantechP6030Feature Phoneyesyescloseclose0.015 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 13:40:10 | by ThaDafinser