pip install pymdown-extensions==9.0

Extension pack for Python Markdown.

Source
Among top 1% packages on PyPI.
Over 1.7M downloads in the last 90 days.

Commonly used with pymdown-extensions

Based on how often these packages appear together in public requirements.txt files on GitHub.

plantuml

None

mkdocs-multilang

A MkDocs plugin

mkdocs-new-features-notifier

A MkDocs plugin for new features detection

mkdocs-nav-enhancements

This is a small plugin for the excellent MkDocs project which makes some enhancements to the navigation.

mkdocs-versioning

A tool that allows for versioning sites built with mkdocs

mkdocs-macros-plugin

Unleash the power of MkDocs with macros and variables

mkdocs-material

A Material Design theme for MkDocs

mkdocs-material-extensions

Extension pack for Python Markdown.

markdown-include

This is an extension to Python-Markdown which provides an "include" function, similar to that found in LaTeX (and also the C pre-processor and Fortran). I originally wrote it for my FORD Fortran auto-documentation generator.

mkdocs-exclude

A mkdocs plugin that lets you exclude files or trees.

mkdocs-git-revision-date-localized-plugin

Mkdocs plugin that enables displaying the localized date of the last git modification of a markdown file.

pep562

Backport of PEP 562.

markdown-attr-plus

Markdown Extension to extend attr_list extension to add extra syntax.

mkdocs

Project documentation with Markdown.

mkdocs-awesome-pages-plugin

An MkDocs plugin that simplifies configuring page titles and their order

mkdocs-redirects

A MkDocs plugin for dynamic page redirects to prevent broken links.

mkdocs-git-revision-date-plugin

MkDocs plugin for setting revision date from git per markdown file.

mkdocs-codeinclude-plugin

A plugin to include code snippets into mkdocs pages

mkdocs-mermaid-plugin

A MkDocs plugin that support mermaid graph in markdown file

Version usage of pymdown-extensions

Proportion of downloaded versions in the last 3 months (only versions over 1%).

8.2

48.71%

9.0

16.24%

7.0

14.70%

7.1

6.42%

8.1.1

4.30%

6.2.1

3.33%

8.0.1

1.76%