An open-source plotting library for statistical data.
The developer of this repository has not created any items for sale yet. Need a bug fixed? Help with integration? A different license? Create a request here:
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"
Lets-Plot for Pythonpackage offers a ggplot-like API for data visualization in Jupyter notebooks as well as in other notebooks like Datalore, Kaggle or Colab.
You can even create plots using Python editor in PyCharm or IntelliJ IDEA (Scientific mode, the Lets-Plot in SciView plugin is required).
Read the Lets-Plot for Python documentation to learn more about the package installation and usage.
Lets-Plot Kotlin API adds Grammar-of-Graphics plotting capabilities to Kotlin kernels for Jupyter notebooks.
Apart from Jupyter notebooks, Lets-Plot Kotlin API enables embedding plots into a JVM-based application.
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 the plugin check: Lets-Plot in SciView plugin homepage.
Code and documentation released under the MIT license. Copyright © 2019-2020, JetBrains s.r.o.