VegaFusion offers server-side scaling for Vega and Altair visualizations, enabling analysis and rendering of larger datasets. It provides low-level building blocks for higher-level Vega systems, primarily targeting Python users of Vega-Altair seeking to handle more data.

How It Works

VegaFusion leverages Rust for its core computation engine, designed for efficient data processing and transformation. This approach allows for significant performance gains when handling large datasets, offloading intensive tasks from the browser to a server-side component.

Quick Start & Requirements

• Installation: pip install vegafusion or conda install -c conda-forge vegafusion
• Prerequisites: Rust, Pixi (for development).
• Documentation: Documentation and Examples

Highlighted Details

• Server-side scaling for Vega and Altair.
• Written in Rust for performance.
• Integrates with Vega-Altair via a data transformer.

Maintenance & Community

The project is part of the Vega ecosystem. Further community and roadmap information can be found via the official Vega project channels.

Licensing & Compatibility

The project is licensed under the MIT License, permitting commercial use and integration with closed-source applications.

Limitations & Caveats

The primary focus is on scaling Vega-Altair visualizations; direct use for other Vega implementations may require custom integration. Development requires specific tooling like Rust and Pixi.