lets-plot 4.10.0

An open source library for statistical plotting

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's 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/python.

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 Compose 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.

Documentation

Kotlin API documentation site: lets-plot.org/kotlin.

"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.

Also read:

• Scientific mode in PyCharm
• Scientific mode in IntelliJ IDEA

What is new in 4.10.0

• ggdeck()

  The new ggdeck() function overlays multiple independent plots in a shared plotting area. Typically, all plots share one axis — enabling dual-axis charts and multivariate comparisons.
  
  

  • Dual Axis:

    

    See: example notebook.
    
    

  • Multivariate Comparison:

    

    See example notebook.

• Alpha Channel in Color Strings

  • Named colors accept an opacity suffix after a slash: "steelblue/0.35".
  • Hex colors accept an alpha channel: #RRGGBBAA or short form #RGBA.
  

  See: example notebook.

• Text Angle in Facet Strip Labels

  Facet strip labels can now be rotated via the angle parameter of element_text(), applied to strip_text, strip_text_x, or strip_text_y.

  Thanks to a contribution by tentrillion.

  

  See: example notebook.

• And More

  See CHANGELOG.md for a full list of changes.

Recent Updates in the Gallery

Change Log

CHANGELOG.md

Code of Conduct

This project and the corresponding community are governed by the JetBrains Open Source and Community Code of Conduct. Please make sure you read it.

License

Code and documentation released under the MIT license. Copyright © 2019-2025, JetBrains s.r.o.