User agent detail

Opera/9.70 (BREW 4.0.3; U; en; Samsung; Opera Mobi; Presto/2.2.1/INT) Sprint M850 SprintTitan/OSGi-4.1 Profile/MIDP-2.1 Configuration/CDC-1.1
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
UAParser
v0.5.0.2
vendor/thadafinser/uap-core/tests/test_device.yaml
close SprintM850closecloseclosecloseclose0 Detail
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/mobile/os-brew.yaml
Opera Mobile 9.70Presto 2.2.1Brew 4.0.3Instinct HDmobile:featureclosecloseclose0 Detail
Providers
BrowscapFull
6014
Opera 9.70Presto 2.0 Desktop0.011 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Opera 9.70close closecloseDesktopclose0.017 Detail
DonatjUAParser
v0.5.1
Opera 9.70closeclosecloseclosecloseclosecloseclosecloseclose0.001 Detail
JenssegersAgent
v2.3.3
Opera MobicloseJavaOS closeclosecloseyescloseclose0 Detail
NeutrinoApiCom

Opera Mobile close SamsungM850mobile-browseryescloseclose0.20901 Detail
PiwikDeviceDetector
3.6.1
Opera 9.70Presto Brew 4.0SamsungOpera Mobismartphoneyes0.007 Detail
SinergiBrowserDetector
6.0.1
Opera 9.70close closecloseclosecloseclose0.001 Detail
UAParser
v3.4.5
Opera Mobile 9.70closeBREW 4.0.3SprintM850closeclosecloseclose0.003 Detail
UserAgentApiCom

Opera 9.70Presto 2.2.1closeclosecloseMobileclosecloseclose0.15001 Detail
UserAgentStringCom

Opera Mobile close closecloseclosecloseclose0.059 Detail
WhatIsMyBrowserCom

Opera 9.70Presto 2.2.1 closeclosecloseclosecloseclose0.23501 Detail
WhichBrowser
v2.0.18
Opera Mobile 9.70Presto 2.2.1Brew 4.0.3SamsungInstinct HDmobile:featureyescloseclose0.001 Detail
Woothee
v1.2.0
Opera 9.70closecloseclosecloseclosecloseclose0 Detail
Wurfl
1.7.1.0
Opera Mobile close SamsungM850Feature Phoneyesyescloseclose0.024 Detail
Zsxsoft
1.3
Opera Mobile 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 08:07:49 | by ThaDafinser