User agent detail

Mozilla/5.0 (compatible; MSIE 6.0; BREW 4.0.3; En )/800x480 Samsung Sam-r900
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
SamsungSam-r900 Detail
Providers
BrowscapPhp
6012
IE 6.0Trident Windows DesktopDesktop0.10401 Detail
DonatjUAParser
v0.5.0
MSIE 6.0closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
IE 6.0close desktop-browsercloseclose0.21502 Detail
PiwikDeviceDetector
3.5.2
Internet Explorer 6.0Trident Brew 4.0SamsungSam-r900smartphoneyes0.005 Detail
SinergiBrowserDetector
6.0.0
Internet Explorer 6.0close closecloseclosecloseclose0 Detail
UAParser
v3.4.5
IE 6.0closeBREW 4.0.3SamsungSam-r900closeclosecloseclose0.018 Detail
UserAgentStringCom
Internet Explorer 6.0close closecloseclosecloseclose0.05601 Detail
WhatIsMyBrowserCom
Internet Explorer 6.0Trident closeclosecloseclosecloseclose0.40404 Detail
WhichBrowser
2.0.10
Internet Explorer 6.0 Brew 4.0.3SamsungSam-r900mobile:featureyescloseclose0.011 Detail
Woothee
v1.2.0
Internet Explorer 6.0closecloseclosecloseclosecloseclose0 Detail
Wurfl
1.6.4
Opera 11.10closeLinux armv6l Feature Phoneyescloseclose0.024 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 13:26:32 | by ThaDafinser