Overview

VegaFusion provides Rust, Python, and JavaScript libraries for analyzing and scaling Vega visualizations. The goal is to provide low-level building blocks that higher level Vega systems (such as Vega-Altair in Python) can integrate with.

[!NOTE]
If you've arrived here looking for information on how to scale Vega-Altair visualizations to support larger datasets, see the Vega-Altair documentation on the "vegafusion" data transformer.

Python Installation

The VegaFusion Python package can be installed into a Python environment using pip

pip install vegafusion

or conda

conda install -c conda-forge vegafusion

Documentation

See Documentation and Examples.

Development

Prerequisites

VegaFusion development requires:

Rust: Install from rustup.rs
Pixi: Install from pixi.sh - manages all other dependencies

Setup

# Clone the repository
git clone https://github.com/vega/vegafusion.git
cd vegafusion

# Install Pixi (if not already installed)
curl -fsSL https://pixi.sh/install.sh | bash

# Install Rust (if not already installed)
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

# Run any pixi task (this will automatically install dependencies)
pixi run test-rs

See CLAUDE.md for detailed development instructions.

Vegafusion

Install / Use

README