Best way to make a blog website with emacs org mode?

This page summarizes the projects mentioned and recommended in the original post on /r/emacs

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  • hexo-renderer-org

    Hexo renderer plugin for emacs org-mode

    I used to use hexo with hexo-renderer-org, but at some point I started getting too many issues. Can't remember details right now. It was something with the hexo-renderer-org package.

  • Hexo

    A fast, simple & powerful blog framework, powered by Node.js.

    I used to use hexo with hexo-renderer-org, but at some point I started getting too many issues. Can't remember details right now. It was something with the hexo-renderer-org package.

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  • psachin

    Now I use a heavily modified version of this repo psachin.gitlab.io. It only uses org-publish. All you need in theory is the css folder, the publish.el file and the Makefile.

  • defblog

    A web site/blog builder, implemented as a wrapper around org-project.

    By coincidence I've just posted about a package defblog that I have been writing over the last few weeks. It's a wrapper around org-publish, and for me it's a Wordpress+org2blog replacement. Does have categories and the page vs. post distinction of WP.

  • lazyblorg

    Blogging with Org-mode for very lazy people

    When your focus is "fast and easy creating a blog entry anywhere in my Org files" and you don't have special needs for JavaScript-foo, you might love https://github.com/novoid/lazyblorg which I built for https://karl-voit.at/

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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