HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
vega
vega-embed
TypeScript2018–2023
vega / vega-embed

vega-embed

Publish Vega visualizations as embedded web components with interactive parameters.

2Distinct people
2Mentions
0Explicit recommenders
501GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Publish Vega visualizations as embedded web components with interactive parameters.

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 year2 dated mentions

Observed mentions: 2018-05-04 05:44:44 UTC to 2023-02-21 03:36:35 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): 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): 1 mentions; 0 submissions, 1 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 UTC101

What Hacker News says

2 sources
If you want to embed the visualization part only, you can export a vega-lite/vega specification and then use Vega-Embed: https://github.com/vega/vega-embed or React-Vega to embed in your web app. At the graphic walker toolbar, active debug mode, there will appear a button on the top-right corner of the chart. Click it, and then you can export the chart spec. Or Embed the entire Graphic Walker as a react component: https://github.com/Kanaries/graphic-walker
In Show HN: Turn your Pandas dataframe into a Tableau-style UI for visual analysis
I haven't seen anyone build these specific applications but I don't see anything in the way of building it. Notebooks can be shared just like any other Jupyter Notebook (charts become images unless are running the notebook). If you want something more polished, you can build a dashboard. Under the hood, Altair uses Vega-Lite so you can export your charts and embed them in a web dashboard with https://github.com/vega/vega-embed. To send charts, you can export them as images.
In Altair: Declarative Visualization in Python

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.