Lets-Plot is an open-source plotting library for statistical data. It is implemented using the Kotlin programming language.

The design of Lets-Plot library 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"

Due to the unique multi-platform nature of Kotlin programming language, you can obtain the plotting functionality that is packaged as a JavaScript library, JVM library, and a native Python extension.

Learn how to create plots in Jupyter using the Lets-Plot python package.

Lets-Plot Kotlin API adds Grammar-of-Graphics plotting capabilities to Kotlin kernels for Jupyter notebooks.

Besides Jupyter notebooks, Lets-Plot Kotlin API enables embedding plots into a JVM-based application.

Lets-Plot Kotlin API is experimental and has not been publicly released yet.