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vega
vega-lite
TypeScript2023–2026
vega / vega-lite

vega-lite

A concise grammar of interactive graphics, built on Vega.

5Distinct people
5Mentions
0Explicit recommenders
5.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A concise grammar of interactive graphics, built on Vega.

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 year5 dated mentions

Observed mentions: 2023-05-09 15:16:22 UTC to 2026-09-15 00:07:45 UTC.

0122023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20242025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

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
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC110
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC202
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC202

What Hacker News says

5 sources
This looks really slick! I was building something similar, so visuals are re-useable artifacts that external services know how to render, where we ask agents in whatever the interface is, slack, team's other agentic harnesses etc. and the agents receive the spec from the service, in this case dbt charts. if there was a unified spec that was agreed upon these third-party harnesses and apps would all speak the same charting language which would be super cool. I haven't read through it in detail but how does this differ from something like https://github.com/vega/vega-lite
In Charts built for Chat

Show HN: VizGPT – Make contextual data visualizations with a chat interface

VizGPT provides a chat interface to make and edit data visualizations. Not only can it create visualization with natural language query, but you can continue transform or edit your visualization in context. You can build complex visualization with chatting step by step instead of design a large prompt at once. There exist lots of great visualization product in the world, such as tableau, pygwalker. Traditional drag-and-drop visualization tool is hard to use for people who are not familiar with configs and viz/data transformations. For example, making a heatmap in tableau requires to make bin transformations to both axis, and then drag the measure to color. It is hard for people who are not familiar with data visualization to make a heatmap. Some text2viz tools accepts natural language to generate visualization. However, they are not flexi
Read the rest
ble enough to allow user to edit the visualization. For example, if the user want to change the color of the heatmap, they have to retype the whole sentence. With VizGPT, you can build visualizations step by step with chat interface. You can edit/adjust visualizations in the context. It allows your to explore the data first without figuring out how to build complex visualization at begining, especially when you are not familiar with the data. Features + Natural language to data visualization [vega-lite](https://github.com/vega/vega-lite) + Use chat context to edit your visualization. Allow user to change the chart if it is not they expected + Explore the data step by step by chatting with visualizations. + Upload your own dataset (CSV) to make visualization. Online playground: https://www.vizgpt.ai/
5 points · Open discussion

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