Project

Reverse Dependencies for kramdown

The projects listed here declare kramdown as a runtime or development dependency

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No commit activity in last 3 years
No release in over 3 years
There's a lot of open issues
Malt provides a factory framework for rendering a variety of template and markup document formats.
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No commit activity in last 3 years
No release in over 3 years
A ruby-marc reader for Aleph sequential files, a MARC serialization supported by Ex Libris' Aleph
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Combines markdown in a yaml file with a docx template
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Markdown (GFM) view helper with redis-backed cache
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A markdown extension for generating HTML in order to support a wider variety of formats.
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Markdown formatter that removes unnecessary newlines, written in Ruby.
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Scans a *compose* folder (file directory) for messages (files in markdown format) to send using the gmail gem.
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Sends an email from a file directory containing a Markdown file representing the email message.
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Low commit activity in last 3 years
There's a lot of open issues
A long-lived project that still receives updates
This syntax uses doubles square brackets on each side of a URL and optional options. It expands into the current preferred embed code for that site's media or raw media. Supported media types: YouTube, Vimeo, Instagram, Twitter, images, videos, audios.
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Meta-gem for markdown parsing
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Transforms a markdown file into an HTML presentation
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Multipart templates made easy with pure Markdown and ERb
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Markun is Markdown bulk converter with menu link
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Markup support for rails/active record.
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There's a lot of open issues
Make it easy to create static document site by building markdown documents and traverse them.
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A content parser and renderer with embedded metadata support.
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MDArray-jCSV (jCSV for short) is the first and only (as far as I know) multidimensional CSV reader. Multidimensional? Yes... jCSV can read multidimensional data, also known sometimes as 'panel data'. jCSV is based on Super CSV (http://super-csv.github.io/super-csv/index.html), a java CSV library. According to Super CSV web page its motivation is 'for Super CSV is to be the foremost, fastest, and most programmer-friendly, free CSV package for Java'. jCSV motivation is to bring this view to the Ruby world, and since we are in Ruby, make it even easier and more programmer-friendly.
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