User agent detail

stamhub 1.7.0(MD02, 1113513)/SGH-T999; 606; 1.7.0(MD02, 1113513); com.samsung.mediahub; d2tmo; samsung/d2tmo/d2tmo:4.1.2/JZO54K/T999UVDMD5:user/release-keys
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close Samsungmediahubclosecloseclosecloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/app-media.yaml
Mediahub Android 4.1.2Galaxy S IIImobile:smartclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
stamhub closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
close closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

close Samsung.mediahub; d2tmo; samsungmobile-browseryescloseclose0.21101 Detail
PiwikDeviceDetector
3.6.1
SamsungSGH-T999smartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
close Samsungmediahubcloseclosecloseclose0.001 Detail
UserAgentApiCom

No result found
UserAgentStringCom

No result found
WhatIsMyBrowserCom

SamsungGalaxy S IIIcloseclosecloseclosecloseclose0.25501 Detail
WhichBrowser
v2.0.18
Mediahub Android 4.1.2SamsungGalaxy S IIImobile:smartyescloseclose0.001 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
close Feature Phoneyescloseclose0.017 Detail
Zsxsoft
1.3
close Samsungcloseclosecloseclosecloseclose0 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 08:04:46 | by ThaDafinser