Home Projects OpenVizAI
OpenVizAI
TypeScript

OpenVizAI

Turn your large data into the right chart with a single prompt and minimum token usage.

by OpenVizAI · GitHub
Stars
Forks
Trending
License
Created
Last commit
Category
Language
ai-dashboardai-data-visualisationapexchartsMITTypeScript
View on GitHub
In plain words

Transform your data into visual charts with a simple prompt and minimal effort.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
OpenVizAI — GitHub preview card
📈 Star history
4844
2026-07-202026-08-31
📈 Track OpenVizAI

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Turn your large data into the right chart with a single prompt and minimum token usage.

OpenVizAI has 48 stars on GitHub. It has been forked 5 times. OpenVizAI is written mainly in TypeScript. It has been in active development since 2026. OpenVizAI is available under the MIT license. Its main topics are ai-dashboard, ai-data-visualisation, apexcharts, chart.

Frequently asked questions

What is OpenVizAI?

Turn your large data into the right chart with a single prompt and minimum token usage.

Is OpenVizAI open source?

OpenVizAI is an open-source project. It is released under the MIT license.

Is OpenVizAI free?

Yes. OpenVizAI is free and open source — you can use, modify and self-host it.

What license does OpenVizAI use?

OpenVizAI is available under the MIT license.

What language is OpenVizAI written in?

OpenVizAI is written mainly in TypeScript.

🏅 Maintainer of this project?
olud.ai badge — OpenVizAI

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=openvizai-openvizai)](https://olud.ai/project/openvizai-openvizai.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.