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A proof-of-concept, open-source, MIT-licensed web application for visual, interactive creation and editing of 2D, 2.5D and 3D data visualizations.

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bakoe/datacanvas

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datacanvas

Datacanvas is a proof-of-concept, open-source, MIT-licensed web application for visual, interactive creation and editing of 2D, 2.5D and 3D data visualizations.

A short, looping screencast showing the usage of the datacanvas editor

Source Structure

This repository is structured as follows:

Directory Description
/ TypeScript and GLSL source code files for the web-based visualization creation tool
lib/headless-renderer Source code files for the headless, server-side rendering of visualizations

For instructions about the individual components and their setup, view the respective README files of the directories.

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datacanvas › Web-based visualization editor

This directory contains the TypeScript and GLSL source code files for the web-based visualization creation tool datacanvas.

Setup Instructions

The web-based tool is written in TypeScript and bundled using Vite/Rollup to allow for static serving of the resulting assets, i.e., the HTML, JS, and image files.

Thus, make sure to have Node.js installed on your system and install the project’s dependencies using the following command:

npm install

NPM Configuration and Project Setup

package.json specifies the following scripts that can be run by npm run <command>.

command description
build builds the tool for deployment, creating a bundle with all facilities
dev starts a local development server serving the tool on port 3000
format auto-formats the source code using Prettier
lint performs code quality linting using TypeScript ESLint Rules
preview locally previews the production build created via npm run build

Deployment

The tool is deployed using Vercel. You can use the Vercel CLI to serve an instance of datacanvas, including the redirects set-up via the vercel.json file.

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A proof-of-concept, open-source, MIT-licensed web application for visual, interactive creation and editing of 2D, 2.5D and 3D data visualizations.

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