User agent detail

Mozilla/5.0 (SCH-F859/F859DH02;U;NUCLEUS/2.1;Profile/MIDP-2.1 Configuration/CLDC-1.1;480*800;CTC/2.0) Dolfin/2.0
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
whichbrowser/parser
/tests/data/mobile/os-feature.yaml
Dolfin 2.0 SamsungSCH-F859mobile:featureyes Detail
Providers
BrowscapPhp
6012
Dolfin 2.0WebKit Bada 1.0Mobile Deviceyes0.12701 Detail
DonatjUAParser
v0.5.0
No result found
NeutrinoApiCom
Dolphin 2.0close mobile-browseryescloseclose0.199 Detail
PiwikDeviceDetector
3.5.2
Dolphin 2.0WebKit MTK / Nucleus 2.1SamsungSCH-F859smartphoneyes0.006 Detail
SinergiBrowserDetector
6.0.0
Mozilla 5.0close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
Dolfin 2.0close closeclosecloseclose0.005 Detail
UserAgentStringCom
Dolfin 2.0close closecloseclosecloseclose0.047 Detail
WhatIsMyBrowserCom
5.0 Samsungcloseclosecloseclosecloseclose0.418 Detail
WhichBrowser
2.0.10
Dolfin 2.0 SamsungSCH-F859mobile:featureyescloseclose0.012 Detail
Woothee
v1.2.0
No result found
Wurfl
1.6.4
Opera 11.10closeLinux armv6l Feature Phoneyescloseclose0.01 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 13:33:13 | by ThaDafinser