User agent detail

SAMSUNG-SGH-P318/NetFront 3.2/WAP2.0 Profile/MIDP-2.0 Configuration/CLDC-1.1/*MzUxODEzMDEwMDAwNzAy
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SamsungSGH-P318closecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
SAMSUNG-SGH-P318 NetFrontcloseclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeJavaOS closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

NetFront 3.2close SamsungSGH-P318mobile-browseryescloseclose0.20701 Detail
PiwikDeviceDetector
3.6.1
NetFront NetFront SamsungSGH-P318smartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close SamsungSGH-P318closeclosecloseclose0.009 Detail
UserAgentApiCom

Netfront Browser 3.2 closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

NetFront 3.2close closecloseclosecloseclose0.059 Detail
WhatIsMyBrowserCom

NetFront Samsungcloseclosecloseclosecloseclose0.24301 Detail
WhichBrowser
v2.0.18
NetFront 3.2 SamsungSGH-P318mobile:featureyescloseclose0.002 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
Java Applet close Feature Phoneyescloseclose0.016 Detail
Zsxsoft
1.3
NetFront 3.2close SamsungSGH-P318closeclosecloseclosecloseclose0.001 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 2016-05-10 07:58:53 | by ThaDafinser