```{raw} html

Building blocks for analyzing, accelerating, and scaling Vega visualizations

``` # Purpose The VegaFusion project provides Rust, Python, and JavaScript libraries for analyzing, accelerating, and scaling [Vega](https://vega.github.io/vega/) visualizations. The goal is to provide low-level building blocks that higher level Vega systems (such as [Vega-Altair](https://altair-viz.github.io/) 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](https://altair-viz.github.io/user_guide/large_datasets.html#vegafusion-data-transformer). ::: # Architecture See [How it works](about/how_it_works.md) for more details on the VegaFusion architecture. ```{raw} html
``` # Python Installation The VegaFusion Python package can be installed into a Python environment using pip ```bash pip install vegafusion ``` or conda ```bash conda install -c conda-forge vegafusion ``` ```{toctree} :maxdepth: 1 :hidden: true features/features Vega Coverage About Community Blog ```