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 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.
To learn more about creating plots in a JVM environment see README_DEV.md in Lets-Plot Kotlin project on GitHub.
The plugin adds support for interactive plots in IntelliJ-based IDEs with the enabled Scientific mode.
The Scientific mode in PyCharm and in IntelliJ IDEA Python plugin provides support for interactive scientific computing and data visualization.
To learn more about Scientific mode check these help pages:
To learn more about the plugin check: Lets-Plot in SciView plugin homepage.
Code and documentation released under the MIT license. Copyright © 2019-2020, JetBrains s.r.o.