User agent detail

SAMSUNG-S8000-Bouygues/S8000AGJB2 SHP/VPP/R5 Jasmine/1.0 Nextreaming SMM-MMS/1.2.0 profile/MIDP-2.1 configuration/CLDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SamsungS8000-Bouyguesclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
Jasmine 1.0NetFront JAVA SamsungGT-S8000Mobile Phoneyes0.031 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
SAMSUNG-S8000-Bouygues S8000AGJB2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
closeJavaOS closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Jasmine 1.0close SamsungJetmobile-browseryescloseclose0.20901 Detail
PiwikDeviceDetector
3.6.1
Jasmine 1.0 SamsungS8000-Bouyguessmartphoneyes0.009 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
Jasmine 1.0close SamsungS8000-Bouyguescloseclosecloseclose0.001 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15101 Detail
UserAgentStringCom

Jasmine 1.0close closecloseclosecloseclose0.067 Detail
WhatIsMyBrowserCom

No result found
WhichBrowser
v2.0.18
Dolfin 1.0 Touchwiz 2.0 or earlierSamsungJetmobile:featureyescloseclose0.001 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
Java Applet close Feature Phoneyescloseclose0.016 Detail
Zsxsoft
1.3
Jasmine 1.0close SamsungS8000-Bouyguescloseclosecloseclosecloseclose0.001 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 07:58:00 | by ThaDafinser