Writing papers/thesis in org with a barebone config

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

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  • doom-emacs

    Discontinued An Emacs framework for the stubborn martian hacker [Moved to: https://github.com/doomemacs/doomemacs]

    If you’re using Doom, you may want to check out its biblio module. The README is not super detailed but it may be a good starting point. Also, if you’re using a recent enough version of org you can get close to what you want by just using the newish org-cite without extra stuff like pandoc or org-ref.

  • scimax

    An emacs starterkit for scientists and engineers

    Not barebones, but I would consider looking at scimax, which is an emacs configuration that likely is similar to your work flow. You can also look to PhD theses written in org-mode and shared on github, there are a few with sensible configurations you might want to just copy.

  • 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.

  • org-thesis

    Writing a Ph.D. thesis with Org Mode

    Not barebones, but I would consider looking at scimax, which is an emacs configuration that likely is similar to your work flow. You can also look to PhD theses written in org-mode and shared on github, there are a few with sensible configurations you might want to just copy.

  • dotemacs

    My emacs configuration. (by mclear-tools)

    You can take a look atmy setup and see if any of it looks helpful. The relevant modules for you will be:

  • citar

    Emacs package to quickly find and act on bibliographic references, and edit org, markdown, and latex academic documents.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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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