# ggvis

> A data visualization package with a syntax similar to ggplot2 which allows you to create rich interactive graphics.

- Category: [R data visualization packages](https://awesomedataviz.com/categories/r/)
- Website: https://ggvis.rstudio.com/
- Repository: https://github.com/rstudio/ggvis
- License: GPL-2.0
- Language: R
- Status: Archived (the repository is archived and read-only)
- GitHub stars: 707
- Commits in the last 12 months: 3
- Contributors: 23
- Last commit: Feb 10, 2026
- Latest release: v0.4.9 (Feb 9, 2024)
- Install (CRAN): `install.packages("ggvis")`, 582 downloads per week
- Topics: Grammar of graphics libraries

## Overview

ggvis is an open-source R visualization package released under the GPL-2.0 license. Its GitHub repository has 707 stars, 165 forks, and 23 contributors. Its repository is archived on GitHub and no longer receives updates. The latest release, v0.4.9, was published on Feb 9, 2024. On CRAN it is downloaded about 582 times per week.

## Alternatives

- [ggplot2](https://awesomedataviz.com/tools/ggplot2/): A plotting system based on the grammar of graphics. (7K stars)
- [Shiny](https://awesomedataviz.com/tools/shiny/): Framework for creating interactive applications/visualisations (5.7K stars)
- [plotly (R)](https://awesomedataviz.com/tools/plotly-r/): Interactive charts (including adding interactivity to ggplot2 output), cartograms and simple network diagrams (2.7K stars)
- [patchwork](https://awesomedataviz.com/tools/patchwork/): Composes multiple ggplot2 plots into a single figure. (2.6K stars)
- [ggstatsplot](https://awesomedataviz.com/tools/ggstatsplot/): Ggplot2-based plots with statistical test details included in the graphic. (2.2K stars)
- [rayshader](https://awesomedataviz.com/tools/rayshader/): 2D and 3D mapping and data visualization in R, including 3D renders of ggplot2 plots. (2.2K stars)

Source: https://awesomedataviz.com/tools/ggvis/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).