Skip to main content

A wrapper around various text markups

Project description

Travis CI status Coverage status ReadTheDocs status

This module provides a wrapper around various text markup languages.

Available by default are Markdown, reStructuredText and Textile, but you can easily add your own markups.

Usage example:

>>> import markups
>>> markup = markups.get_markup_for_file_name("myfile.rst")
>>> markup.name
'reStructuredText'
>>> markup.attributes[markups.common.SYNTAX_DOCUMENTATION]
'http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html'
>>> text = """
... Hello, world!
... =============
...
... This is an example **reStructuredText** document.
... """
>>> result = markup.convert(text)
>>> result.get_document_title()
'Hello, world!'
>>> print(result.get_document_body())  # doctest: +NORMALIZE_WHITESPACE
<div class="document" id="hello-world">
<h1 class="title">Hello, world!</h1>
<p>This is an example <strong>reStructuredText</strong> document.</p>
</div>

The release version can be downloaded from PyPI. The source code is hosted on GitHub.

The documentation is available online or can be generated from source by installing Sphinx and running:

python3 setup.py build_sphinx

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
Markups-3.0.0-py2.py3-none-any.whl (12.3 kB) Copy SHA256 hash SHA256 Wheel py2.py3 May 3, 2018
Markups-3.0.0.tar.gz (17.0 kB) Copy SHA256 hash SHA256 Source None May 3, 2018

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page