User agent detail

SEC-SGHE900/1.0 NetFront/3.2 Profile/MIDP-2.0 Configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/os-feature.yaml
NetFront 3.2 SamsungSGH-E900mobile:featureyes Detail
Providers
BrowscapPhp
6012
NetFront 3.2NetFront Mobile Deviceyes0.035 Detail
DonatjUAParser
v0.5.0
SEC-SGHE900 1.0closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
NeutrinoApiCom
NetFront 3.2closeJVM SamsungSGH-E900mobile-browseryescloseclose0.19302 Detail
PiwikDeviceDetector
3.5.2
NetFront 3.2NetFront SamsungSGHE900smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
No result found
UAParser
v3.4.5
NetFront 3.2close closeclosecloseclose0.029 Detail
UserAgentStringCom
NetFront 3.2close closecloseclosecloseclose0.08301 Detail
WhatIsMyBrowserCom
NetFront closeclosecloseclosecloseclose0.43704 Detail
WhichBrowser
2.0.10
NetFront 3.2 SamsungSGH-E900mobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
NetFront 3.2close SamsungSGH-E900Feature 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 13:32:15 | by ThaDafinser