Lets-Plot

Lets-Plot is a multiplatform plotting library built on the principles of the Grammar of Graphics.

The library' design is heavily influenced by Leland Wilkinson work The Grammar of Graphics describing the deep features that underlie all statistical graphics.

This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graphics, but you can create new graphics that are precisely tailored for your problem.

Hadley Wickham, "ggplot2: Elegant Graphics for Data Analysis"

Grammar of Graphics for Python

A bridge between R (ggplot2) and Python data visualization. To learn more see the documentation site at lets-plot.org.

Grammar of Graphics for Kotlin

Notebooks

Create plots in Kotlin Notebook, Datalore, Jupyter with Kotlin Kernel or any other notebook that supports Kotlin Kernel. To learn more see the Lets-Plot Kotlin API project at GitHub.

Compose Multiplatform

Embed Lets-Plot charts in Compose Multiplatform applications. To learn more see the Lets-Plot Skia Frontend project at GitHub.

JVM and Kotlin/JS

Embed Lets-Plot charts in JVM (Swing, JavaFX) and Kotlin/JS applications. To learn more see the Lets-Plot Kotlin API project at GitHub.

"Lets-Plot in SciView" plugin

Scientific mode in PyCharm and in IntelliJ IDEA provides support for interactive scientific computing and data visualization.

Lets-Plot in SciView plugin adds support for interactive plotting to IntelliJ-based IDEs with the Scientific mode enabled.

Note: The Scientific mode is NOT available in communinty editions of JetBrains IDEs.

What is new in 4.4.0

Waterfall Plot

See example notebook.
geom_band():

See example notebook.
Custom Legends
- manual_key parameter in plot layer
- layer_key() function
See example notebook.
Customizing Legends Appearance

The override_aes parameter in the guide_legend() function.

See example notebook.
And More

See CHANGELOG.md for a full list of changes.