User agent detail

Emacs-w3m/1.4.77 w3m/0.5
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
WhichBrowser
v2.0.18
vendor/whichbrowser/parser/tests/data/desktop/browser-text.yaml
w3m 1.4.77 closecloseclose0 Detail
Providers
BrowscapFull
6014
Emacs/W3 Desktop0.011 Detail
BrowscapLite
6014
No result found
BrowscapPhp
6014
Emacs/W3 close closecloseDesktopclose0.016 Detail
DonatjUAParser
v0.5.1
Emacs-w3m 1.4.77closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
No result found
NeutrinoApiCom

w3m 1.4.77close desktop-browsercloseclose0.24801 Detail
PiwikDeviceDetector
3.6.1
No result found
SinergiBrowserDetector
6.0.1
No result found
UAParser
v3.4.5
No result found
UserAgentApiCom

No result found
UserAgentStringCom

w3m 0.5close closecloseclosecloseclose0.062 Detail
WhatIsMyBrowserCom

w3m 1.4.77 closeclosecloseclosecloseclose0.24601 Detail
WhichBrowser
v2.0.18
w3m 1.4.77 closeclose0.002 Detail
Woothee
v1.2.0
No result found
Wurfl
1.7.1.0
No result found
Zsxsoft
1.3
W3M 1.4.77closeMacintosh closeclosecloseclosecloseclose0.001 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 07:54:41 | by ThaDafinser