User agent detail

SAMSUNG-GT-S5620L/1.0 SHP/VPP/R5 Dolfin/1.5 Nextreaming SMM-MMS/1.2.0 profile/MIDP-2.1 configuration/CLDC-1.1 UP.Link/6.3.0.0.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SamsungGT-S5620Lclosecloseclosecloseclose0 Detail
Providers
BrowscapFull
6014
No result found
BrowscapLite
6014
No result found
BrowscapPhp
6014
No result found
DonatjUAParser
v0.5.1
SAMSUNG-GT-S5620L 1.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Dolfin 1.5closeJavaOS closeclosecloseyescloseclose0.001 Detail
NeutrinoApiCom

Dolphin 1.5close SamsungGT-S5620Lmobile-browseryescloseclose0.21801 Detail
PiwikDeviceDetector
3.6.1
Dolphin 1.5WebKit SamsungGT-S5620Lsmartphoneyes0.008 Detail
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
Dolfin 1.5close SamsungGT-S5620Lcloseclosecloseclose0.002 Detail
UserAgentApiCom

closeclosecloseMobileclosecloseclose0.15201 Detail
UserAgentStringCom

Dolfin 1.5close closecloseclosecloseclose0.061 Detail
WhatIsMyBrowserCom

Samsungcloseclosecloseclosecloseclose0.23601 Detail
WhichBrowser
v2.0.18
Dolfin 1.5 Touchwiz 2.0SamsungMontemobile:featureyescloseclose0.005 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
Openwave Browser 6.3.0.0.0close SamsungGT-S5620LFeature Phoneyescloseclose0.02 Detail
Zsxsoft
1.3
Dolfin 1.5close SamsungGT-S5620Lcloseclosecloseclosecloseclose0.001 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 07:56:59 | by ThaDafinser