The VegaFusion project provides Rust, Python, and JavaScript libraries for analyzing, accelerating, and scaling Vega visualizations. The goal is to provide low-level building blocks that higher level Vega systems (such as Vega-Altair in Pyt…
VegaFusion is designed to complement the Vega visualization ecosystem. In particular, the Vega, Vega-Lite, and Altair projects. If you’re not familiar with these projects, it will be helpful to take a few minutes to browse their documentati…
VegaFusion supports optimizing a subset of Vega’s transforms. Below is a detailed breakdown of transform support status. When a Vega spec includes unsupported transforms, these transforms will be included in the client Vega spec for evaluat…
VegaFusion can be used to evaluate datasets in a Vega spec and return them as arrow tables or DataFrames. This is the foundation for Vega-Altair’s chart.transformed_data method. Extract the fully evaluated form of the requested datasets fro…
The Chart State workflow can be used to support interactive charts with transforms that are updated interactively. For example, for a chart that implements crossfiltering the filter transform must be re-evaluated repeatedly against the inpu…
The vegafusion-wasm NPM package provides a JavaScript API for embedding Vega charts backed by VegaFusion in web applications. These charts can be connected to a local VegaFusion runtime compiled to WebAssembly, or a remote VegaFusion server…
VegaFusion provides a function for introspecting a Vega specification and determining which columns are referenced from each root dataset. A root dataset is one defined at the top-level of the spec that includes a url or values properties.
Here are a few related projects that have some overlap with the goals of VegaFusion. altair-transform is a Python library created by Jake Vanderplas, one of the creators of Altair. It consists of pandas implementations of most of the Vega e…
A short paper entitled “VegaFusion: Automatic Server-Side Scaling for Interactive Vega Visualizations” was presented at the IEEEVIS 2022 conference in Oklahoma City and explains the motivations and design of VegaFusion (the paper is also av…
VegaFusion supports optimizing a subset of Vega’s expression language. Below is a detailed breakdown of expression features that are eligible for optimization. When a Vega spec includes unsupported expressions, these expressions will be inc…
A new era: Building blocks for analyzing, accelerating, and scaling Vega visualizations: Improved Vega coverage, external data source foundations, extended architecture support Transformed data for compound charts, Java library Pre-transfor…
Improved Vega coverage, external data source foundations, extended architecture support The VegaFusion team is happy to announce the release of version 1.4. Along with the usual bug fixes and updates to the core Arrow and DataFusion depende…