Makie is an interactive data visualization and plotting ecosystem for the Julia programming language, available on Windows, Linux and Mac. The backend packages GLMakie, WGLMakie, CairoMakie and RPRMakie add different functionalities: You can use Makie to interactively explore your data and create simple GUIs in native windows or web browsers, export high-quality vector graphics or even raytrace with physically accurate lighting.
The name Makie (we pronounce it Mah-kee) is derived from the japanese word Maki-e, which is a technique to sprinkle lacquer with gold and silver powder. Data is the gold and silver of our age, so let's spread it out beautifully on the screen!
To learn more, we invite you to visit the documentation at docs.makie.org.
If you use Makie for a scientific publication, please acknowledge and support our work by citing our JOSS paper the following way:
Danisch & Krumbiegel, (2021). Makie.jl: Flexible high-performance data visualization for Julia.
Journal of Open Source Software, 6(65), 3349, https://doi.org/10.21105/joss.03349
BibTeX entry:
@article{DanischKrumbiegel2021,
doi = {10.21105/joss.03349},
url = {https://doi.org/10.21105/joss.03349},
year = {2021},
publisher = {The Open Journal},
volume = {6},
number = {65},
pages = {3349},
author = {Simon Danisch and Julius Krumbiegel},
title = {{Makie.jl}: Flexible high-performance data visualization for {Julia}},
journal = {Journal of Open Source Software}
}We are on Discord and Discourse! Community channels are a great way for you to ask questions and get help. Please join us!
Choose one or more backend packages: GLMakie (interactive OpenGL in native OS windows), WGLMakie (interactive WebGL in browsers, IDEs, notebooks), CairoMakie (static 2D vector graphics and images) and RPRMakie (raytracing). Each backend re-exports all of Makie.jl so you don't have to install or load it explicitly.
Install:
julia>]
pkg> add GLMakieCheck the installed version:
]st GLMakieStart using the package:
using GLMakie🔥 Click for more 🔥
Makie and its backends all live in the Makie monorepo. This makes it easier to change code across all packages. Therefore, dev'ing Makie almost works as with other Julia packages, just, that one needs to also dev the sub packages:
]dev --local Makie # local will clone the repository at ./dev/Makie
]dev dev/Makie/MakieCore dev/Makie/GLMakie dev/Makie/CairoMakie dev/Makie/WGLMakie dev/Makie/RPRMakieTo run the tests, you also should add:
]dev dev/Makie/ReferenceTestsFor more info about ReferenceTests, check out its README
The following examples are supposed to be self-explanatory. For further information check out the documentation!
x = 1:0.1:10
fig = lines(x, x.^2; label = "Parabola",
axis = (; xlabel = "x", ylabel = "y", title ="Title"),
figure = (; size = (800,600), fontsize = 22))
axislegend(; position = :lt)
save("./assets/parabola.png", fig)
fig
Similar to the one on this link
Show Code
x = -2pi:0.1:2pi
approx = fill(0.0, length(x))
cmap = [:gold, :deepskyblue3, :orangered, "#e82051"]
with_theme(palette = (; patchcolor = cgrad(cmap, alpha=0.45))) do
fig, axis, lineplot = lines(x, sin.(x); label = L"sin(x)", linewidth = 3, color = :black,
axis = (; title = "Polynomial approximation of sin(x)",
xgridstyle = :dash, ygridstyle = :dash,
xticksize = 10, yticksize = 10, xtickalign = 1, ytickalign = 1,
xticks = (-π:π/2:π, ["π", "-π/2", "0", "π/2", "π"])
))
translate!(lineplot, 0, 0, 2) # move line to foreground
band!(x, sin.(x), approx .+= x; label = L"n = 0")
band!(x, sin.(x), approx .+= -x .^ 3 / 6; label = L"n = 1")
band!(x, sin.(x), approx .+= x .^ 5 / 120; label = L"n = 2")
band!(x, sin.(x), approx .+= -x .^ 7 / 5040; label = L"n = 3")
limits!(-3.8, 3.8, -1.5, 1.5)
axislegend(; position = :ct, backgroundcolor = (:white, 0.75), framecolor = :orange)
save("./assets/approxsin.png", fig, size = (800, 600))
fig
end
Show Code
x = y = -5:0.5:5
z = x .^ 2 .+ y' .^ 2
cmap = :plasma
with_theme(colormap = cmap) do
fig = Figure(fontsize = 22)
ax3d = Axis3(fig[1, 1]; aspect = (1, 1, 1),
perspectiveness = 0.5, azimuth = 2.19, elevation = 0.57)
ax2d = Axis(fig[1, 2]; aspect = 1, xlabel = "x", ylabel="y")
pltobj = surface!(ax3d, x, y, z; transparency = true)
heatmap!(ax2d, x, y, z; colormap = (cmap, 0.65))
contour!(ax2d, x, y, z; linewidth = 2, levels = 12, color = :black)
contour3d!(ax3d, x, y, z; linewidth = 4, levels = 12,
transparency = true)
Colorbar(fig[1, 3], pltobj; label="z", labelrotation=pi)
colsize!(fig.layout, 1, Aspect(1, 1.0))
colsize!(fig.layout, 2, Aspect(1, 1.0))
resize_to_layout!(fig)
save("./assets/simpleLayout.png", fig)
fig
end
Interactive example by AlexisRenchon:
Example from InteractiveChaos.jl
You can follow Makie on twitter to get the latest, outstanding examples:
