VegaFusion Python Embed provides Rust-accelerated Vega expression evaluation and data transformations for use with Vega(-Lite) visualizations. Version 1.6.9 is the latest stable release. The package is maintained by the VegaFusion team and released as needed.
pip install vegafusion-python-embedVerified import paths — ran on the pinned version, not inferred.
Import the runtime and evaluate a Vega expression. The embed package bundles the Rust core and is designed for server-side or offline use.
Choose one: install vegafusion for client-side use (with WASM), or vegafusion-python-embed for server-side / embedding.
Use vegafusion-client or vegafusion-wasm for client-side spec transformations. For the embed package, stick to expression evaluation and data transformation.
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