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jupyter-widgets
ipywidgets
TypeScript2018–2023
jupyter-widgets / ipywidgets

ipywidgets

Interactive Widgets for the Jupyter Notebook

3Distinct people
3Mentions
0Explicit recommenders
3.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Interactive Widgets for the Jupyter 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

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, 1:49:46 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 year3 dated mentions

Observed mentions: 2018-04-30 19:38:32 UTC to 2023-05-04 01:51:42 UTC.

0122018-01-01 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): 0 mentions; 0 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 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): 2 mentions; 0 submissions, 2 comments2023

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 UTC000
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 UTC202

What Hacker News says

3 sources
> Is there a better way to publish Linked Data with existing tools like LaTeX, PDF, or Word? Which support CSVW? Which support RDF/RDFa/JSON-LD? - [ ] ~"How to publish Linked Data with Jupyter notebooks" #todo #LinkedReproducibility #LinkedResearch - [ ] westurner/nbmeta, jupyter*/?: Linked Data result object for notebooks; with a _repr_mimebundle_() and application/ld+json - [ ] python 3.x+ grammar: de-restrict use of the walrus assignment operator := so that users can assign to the LD dict result object and implicitly IPython.display.display() it because walrus assignment returns the object assigned (whereas normal = assignment does not return a value) - [ ] westurner/nbmeta?, JLab, jupyter-book: JSON-LD Playground widget to display and reframe JSON-LD (& maybe YAML-LD, too) - [ ] jupyterlab: schema.org notebook level bibliographic sch
Read the rest
ema.org/CreativeWork metadata - [ ] jupyterlab: JS/TypeScript: JSON-LD/YAML-LD editor widget also built on codemirror like JLab or a different existing RDFJS library or? - [ ] rdflib, jupyter nb, sphinx, pygments: add YAML-LD syntax support (now that there's a W3C spec) - [ ] MyST markdown, sphinx, docutils: YAML-LD in MyST [in: code-fence attr syntax,] in order to add Linked Data to MyST Markdown documents and thus Jupyter Notebooks and Jupyter Books - [ ] hypothesis/h, sphinx-comments: Linked Data Annotations (within nested Markdown, like hypothesis' W3C Web Annotations support); cc re: 'MyST-LD' Markdown: quoting "@id", "@context" in YAML-LD - [ ] atomspace-like TrustValues with RDFstar/SPARQLstar (in YAML-LD because that implies JSON-LD) - [ ] dvc, GitHub Actions, GitLab CI, Gitea Actions,: how to add PROV RDF Linked Data metadata to workflows like DVC.org's & container+command-in-YAML approach - [ ] Microsoft/excel, Microsoft/VSCode: How to CSVW and PROV with spreadsheets and or code ; see also Excel speed-running competitons - [ ] REQ: jupyter/rtc+linkeddata/dokieli: howto integrate Jupyter notebooks with the list of specs in the dokieli README - [ ] njupyter/nbformat#?: a post- .ipynb notebook + resources spec? W3C Web Bundles have advantages including: you don't have to rewrite URLs in content saved offline like MHTML (mv $1.mhtml $1.mhtml.zip) - [ ] JupyterLab, VSCode: CoCalc - which supports Time Travel version control over notebooks, LaTeX docs, - added a TODO: ~not_editable code cell metadata item; which is more like lab notebooks in pen; but there's not GUI support in JLab or other Jupyter notebook nbformat implementations yet - [ ] Jupyter/nbformat, ipywidgets, jupyterlab,: How to save widget state: https://github.com/jupyter-widgets/ipywidgets/issues/2465 > How could authors express experimental study controls with URIs; with qualified typed edges to the data (and a cryptographic signature from an IRB and the ScholarlyArticle's authors). Verifiable Credentials Data Model v1.1: https://www.w3.org/TR/vc-data-model/ Verifiable Credential Data Integrity 1.0: Securing the Integrity of Verifiable Credential Data: https://www.w3.org/TR/vc-data-integrity/ : > Abstract: This specification describes mechanisms for ensuring the authenticity and integrity of Verifiable Credentials and similar types of constrained digital documents using cryptography, especially through the use of digital signatures and related mathematical proofs. Because data quality, data reuse, code reuse, web standard specifications, structured data outputs with provenance metadata for partially-automated metaanalyses,; https://5stardata.info/
In Latex users are slower than Word users and make more errors (2014)
There have been a couple attempts to add dashboarding to Jupyter: https://github.com/jupyter/dashboards was/is a dashboard system built by a team at IBM. I think the project stalled somewhat after IBM stopped funding it. There are a few long threads in the currently active jupyter repos about building dashboard systems as extensions: https://github.com/jupyterlab/jupyterlab/issues/1640, https://github.com/jupyter-widgets/ipywidgets/issues/2018.
In Hosting Jupyter Notebooks for 100k Users [video]

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