HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
jkitchin
scimax
Emacs Lisp2018–2024
jkitchin / scimax · Archived

scimax

An emacs starterkit for scientists and engineers

3Distinct people
4Mentions
0Explicit recommenders
1.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

An emacs starterkit for scientists and engineers

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year4 dated mentions

Observed mentions: 2018-10-30 18:02:31 UTC to 2024-01-25 19:03:12 UTC.

012018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC110

What Hacker News says

4 sources
There are a few projects that do this, but I think there's certainly room for more. I'd love to see one focused on using the Zettelkasten method. Here are three I'm aware of: Scimax: https://github.com/jkitchin/scimax Emacs Speaks Statistics: https://github.com/emacs-ess/ESS Frontmacs: https://github.com/thefrontside/frontmacs So long as these approaches expose the full power of Emacs to their users, I can't imagine the UX being as rock-solid as we might expect from modern purpose-built tools (e.g. PyCharm, Overleaf, Obsidian, ...). It might help to hide/disable most default interactive functions, which provide a huge surface area for non-Emacsers to break things. Emacs actually does this by default for a few functions: https://www.emacswiki.org/emacs/DisabledCommands Also relevant here is wakib-keys: https://github.com/darkstego/wakib-k
Read the rest
In Stop Taking Regular Notes; Use a Zettelkasten Instead
I've found ob-ipython [1] within Org Mode to be one of the best options for interfacing with Jupyter. If you're sick of the limitations of working in a browser, it's worth checking out. Scimax version: https://github.com/jkitchin/scimax/blob/master/scimax-ipytho... Video of Scimax version: https://www.youtube.com/watch?v=dMira3QsUdg Previous HN discussion highlighting key features: https://news.ycombinator.com/item?id=17839926 Some relevant blog posts: - https://vxlabs.com/2017/11/24/getting-ob-ipython-to-show-doc... - https://vxlabs.com/2017/11/30/run-code-on-remote-ipython-ker... - https://kozikow.com/2016/05/21/very-powerful-data-analysis-e... [1] https://github.com/gregsexton/ob-ipython
In Why Jupyter is data scientists’ computational notebook of choice

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.