https://github.com/vega/vegafusion

Serverside scaling for Vega and Altair visualizations
https://github.com/vega/vegafusion

altair charting-library jupyter vega vega-lite

Last synced: 2 days ago
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Serverside scaling for Vega and Altair visualizations

• Host: GitHub
• URL: https://github.com/vega/vegafusion
• Owner: vega
• License: bsd-3-clause
• Created: 2021-10-01T09:19:27.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-11-25T23:37:09.000Z (about 2 months ago)
• Last Synced: 2025-01-10T11:15:59.665Z (9 days ago)
• Topics: altair, charting-library, jupyter, vega, vega-lite
• Language: Rust
• Homepage: https://vegafusion.io
• Size: 20.9 MB
• Stars: 340
• Watchers: 23
• Forks: 18
• Open Issues: 52
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Codeowners: CODEOWNERS
  • Governance: GOVERNANCE.md

Awesome Lists containing this project

• awesome-starred - hex-inc/vegafusion - Serverside scaling for Vega and Altair visualizations (others)
• StarryDivineSky - vega/vegafusion - Altair Python 接口与 Vega-Lite 的交互。其核心算法使用 Rust 实现，并通过 PyO3 提供 Python 集成，通过 wasm-bindgen 提供 JavaScript 集成。VegaFusion 可以解决 Altair 的`MaxRowsError` 问题，通过在服务器端执行数据密集型聚合和修剪不必要的列来提高性能，从而允许用户处理更大的数据集。用户可以通过在 Altair 中启用 `"vegafusion"` 数据转换器来使用 VegaFusion。 (其他_机器学习与深度学习)

README

        




---

# Overview

VegaFusion provides Rust, Python, and JavaScript libraries for analyzing 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).

## 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

```

## Documentation

See [Documentation](https://vegafusion.io/) and [Examples](https://github.com/vega/vegafusion/tree/v2/examples/python-examples/chart_state.py).