How to Install and Uninstall libhubbub.i686 Package on Fedora 39
Last updated: September 23,2024
1. Install "libhubbub.i686" package
Please follow the step by step instructions below to install libhubbub.i686 on Fedora 39
$
sudo dnf update
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$
sudo dnf install
libhubbub.i686
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2. Uninstall "libhubbub.i686" package
This tutorial shows how to uninstall libhubbub.i686 on Fedora 39:
$
sudo dnf remove
libhubbub.i686
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$
sudo dnf autoremove
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3. Information about the libhubbub.i686 package on Fedora 39
Last metadata expiration check: 0:54:04 ago on Thu Mar 7 17:44:52 2024.
Available Packages
Name : libhubbub
Version : 0.3.7
Release : 11.fc39
Architecture : i686
Size : 99 k
Source : libhubbub-0.3.7-11.fc39.src.rpm
Repository : fedora
Summary : An HTML5 compliant parsing library
URL : http://www.netsurf-browser.org/projects/hubbub/
License : MIT
Description : Hubbub is an HTML5 compliant parsing library, written in C. It was
: developed as part of the NetSurf project.
:
: The HTML5 specification defines a parsing algorithm, based on the
: behavior of mainstream browsers, which provides instructions for how to
: parse all markup, both valid and invalid. As a result, Hubbub parses web
: content well.
:
: Features:
: * Parses HTML, good and bad
: * Simple C API
: * Fast
: * Character encoding detection
: * Well-tested (~90% test coverage)
: * Portable
Available Packages
Name : libhubbub
Version : 0.3.7
Release : 11.fc39
Architecture : i686
Size : 99 k
Source : libhubbub-0.3.7-11.fc39.src.rpm
Repository : fedora
Summary : An HTML5 compliant parsing library
URL : http://www.netsurf-browser.org/projects/hubbub/
License : MIT
Description : Hubbub is an HTML5 compliant parsing library, written in C. It was
: developed as part of the NetSurf project.
:
: The HTML5 specification defines a parsing algorithm, based on the
: behavior of mainstream browsers, which provides instructions for how to
: parse all markup, both valid and invalid. As a result, Hubbub parses web
: content well.
:
: Features:
: * Parses HTML, good and bad
: * Simple C API
: * Fast
: * Character encoding detection
: * Well-tested (~90% test coverage)
: * Portable