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SciRuby
iruby
Ruby2015–2025
SciRuby / iruby

iruby

Official gem repository: Ruby kernel for Jupyter/IPython Notebook

6Distinct people
8Mentions
0Explicit recommenders
926GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Official gem repository: Ruby kernel for Jupyter/IPython Notebook

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

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, 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 year8 dated mentions

Observed mentions: 2015-05-20 21:14:32 UTC to 2025-02-15 23:31:50 UTC.

0122015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019-01-01 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): 0 mentions; 0 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-01-01 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): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

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 UTC202
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 UTC000
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 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
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 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

8 sources
List of Jupyter Kernels: https://github.com/jupyter/jupyter/wiki/Jupyter-kernels IRuby: https://github.com/SciRuby/iruby conda-forge/ruby-feedstock: https://github.com/conda-forge/ruby-feedstock It looks like ruby-feedstock installs `gem`; but AFAIU there's not yet a way to specify gems in an environment.yml like `pip:` packages. There aren't many other conda-forge feedstocks for Ruby, though; /? Ruby https://github.com/orgs/conda-forge/repositories?q=Ruby
In Surely you must be joking, Jupyter notebooks with Ruby [video]
This could be implemented with Jupyter notebooks as a Jupyter kernel or maybe with just fancy use of explicitly returned objects that support the (Ruby-like, implicit) IPython.display.display() magic. IRuby is the Jupyter kernel for Rubylang: iruby/display: https://github.com/SciRuby/iruby/blob/master/lib/iruby/displ... iruby/formatter: https://github.com/SciRuby/iruby/blob/master/lib/iruby/forma... More links to how Jupyter kernels and implicit display() and DAP: Debug Adapter Protocol work: "Evcxr: A Rust REPL and Jupyter Kernel" https://news.ycombinator.com/item?id=25923123 "ENH: Mixed Python/C debugging (GDB,)" https://github.com/jupyterlab/debugger/issues/284 ... "Ask HN: How did you learn x86-64 assembly?" https://news.ycombinator.com/item?id=23930335
In Asmrepl: REPL for x86 Assembly Language

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