# AlgebraOfGraphics.jl

> Algebraic grammar-of-graphics visualization for Julia, built on Makie.

- Category: [Julia plotting packages](https://awesomedataviz.com/categories/julia/)
- Website: https://aog.makie.org
- Repository: https://github.com/MakieOrg/AlgebraOfGraphics.jl
- License: MIT
- Language: Julia
- Status: Active (commits in the last 90 days)
- GitHub stars: 519
- Commits in the last 12 months: 72
- Contributors: 44
- Last commit: Sep 3, 2026
- Latest release: v0.13.2 (Sep 4, 2026)
- Install (Julia): `julia -e 'using Pkg; Pkg.add("AlgebraOfGraphics")'`

## Overview

AlgebraOfGraphics.jl is an open-source Julia plotting package released under the MIT license. Its GitHub repository has 519 stars, 62 forks, and 44 contributors. It is actively developed with 72 commits in the last 12 months. The latest release, v0.13.2, was published on Sep 4, 2026.

## Alternatives

- [Makie](https://awesomedataviz.com/tools/makie/): Interactive, high-performance plotting ecosystem for Julia with OpenGL, WebGL and Cairo backends. (2.8K stars)
- [Plots.jl](https://awesomedataviz.com/tools/plots-jl/): Plotting meta-package for Julia with a single API over multiple backends. (2K stars)
- [Gadfly.jl](https://awesomedataviz.com/tools/gadfly-jl/): Statistical graphics for Julia based on the grammar of graphics. (1.9K stars)
- [UnicodePlots.jl](https://awesomedataviz.com/tools/unicodeplots-jl/): Unicode-based scientific plotting in the terminal for Julia. (1.6K stars)

## Comparisons

- [AlgebraOfGraphics.jl vs Makie](https://awesomedataviz.com/compare/algebraofgraphics-jl-vs-makie/)
- [AlgebraOfGraphics.jl vs Plots.jl](https://awesomedataviz.com/compare/algebraofgraphics-jl-vs-plots-jl/)
- [AlgebraOfGraphics.jl vs Gadfly.jl](https://awesomedataviz.com/compare/algebraofgraphics-jl-vs-gadfly-jl/)
- [AlgebraOfGraphics.jl vs UnicodePlots.jl](https://awesomedataviz.com/compare/algebraofgraphics-jl-vs-unicodeplots-jl/)

Source: https://awesomedataviz.com/tools/algebraofgraphics-jl/ · Data updated 2026-10-05 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).