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gregsexton
ob-ipython
Emacs Lisp2015–2018
gregsexton / ob-ipython

ob-ipython

org-babel integration with Jupyter for evaluation of (Python by default) code blocks

14Distinct people
15Mentions
1Explicit recommenders
742GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

org-babel integration with Jupyter for evaluation of (Python by default) code blocks

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

github.com/gregsexton/ob-ipython is by a good margin my favorite way to do literate programming. All the power of org with most of the Jupyter goodies. Only downside relative…

j88439h84 used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

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

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 7:02:50 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 year15 dated mentions

Observed mentions: 2015-06-08 19:52:17 UTC to 2018-11-07 16:03:09 UTC.

024682015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments2018

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
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC312
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC202
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC202
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC808

What Hacker News says

8 sources
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
j88439h84·Aug 9, 2018Recommendation phrase
github.com/gregsexton/ob-ipython is by a good margin my favorite way to do literate programming. All the power of org with most of the Jupyter goodies. Only downside relative to jupyter in browser is missing the interactive javascript widgets, but well worth it for me.
In Blogging with Emacs org-mode
org-mode + babel is excellent. But again the social aspect necessary for adoption is much less developed than Jupyter (the emacs community is very social, but small). In that Jupyter files are just json files, I hope that there it will be easier to switch between the two in the future. Like [1], [2], and [3]. [1] https://github.com/gregsexton/ob-ipython [2] https://github.com/jkitchin/ox-ipynb [3] https://github.com/millejoh/emacs-ipython-notebook
In Jupyter, Mathematica, and the Future of the Research Paper

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