Tucan is an Elixir plotting library built on top of VegaLite, designed to simplify the creation of interactive and visually stunning plots. With Tucan, you can effortlessly generate a wide range of plots, from simple bar charts to complex composite plots, all while enjoying the power and flexibility of a clean composable functional API.

Tucan offers a simple API for creating most common plot types similarly to matplotlib and seaborn without requiring the end user to be familiar with the Vega Lite grammar.

• Versatile Plot Types - Tucan provides an array of plot types, including bar charts, line plots, scatter plots, histograms, and more, allowing you to effectively represent diverse data sets.
• Clean and consistent API - A clean and consistent plotting API similar to matplotlib or seaborn is provided. You should be able to create most common plots with a single function call and minimal configuration.
• Grouping and Faceting - Enhance your visualizations with grouping and faceting features, enabling you to examine patterns and trends within subgroups of your data.
• Customization - Customize your plots with ease using Tucan's utilities for adjusting plot dimensions, titles, and themes.
• Thin wrapper on top of VegaLite - All VegaLite functions can be used seamlessly with Tucan in order to enhance/customize your plots.
• Nx support - You can pass directly Nx tensors in all plot functions.
• Low level API - A low level API with helper functions is provided for modifying VegaLite specifications.

# A simple scatter plot
Tucan.scatter(:iris, "petal_width", "petal_length")

# You can combine it with one or more semantic grouping functions
Tucan.scatter(:iris, "petal_width", "petal_length")
|> Tucan.color_by("species")
|> Tucan.shape_by("species")

# You can pipe it through other Tucan functions to modify the look & feel
Tucan.bubble(:gapminder, "income", "health", "population",
  color_by: "region",
  tooltip: true
)
|> Tucan.set_width(400)
|> Tucan.Axes.set_x_title("Gdp per Capita")
|> Tucan.Axes.set_y_title("Life expectancy")
|> Tucan.Scale.set_x_scale(:log)

# Some composite plots are also supported
fields = ["petal_width", "petal_length", "sepal_width", "sepal_length"]

Tucan.pairplot(:iris, , width: 130, height: 130)
|> Tucan.color_by("species", recursive: true)

# creating facet plots is very easy with the facet_by/4 function
Tucan.scatter(:iris, "petal_width", "petal_length")
|> Tucan.facet_by(:column, "species")
|> Tucan.color_by("species")

Read the docs for more examples.

You most likely want to use Tucan in Livebook, in which case you can call Mix.install/2:

Mix.install([
  {:tucan, "~> 0.3.0"},
  {:kino_vega_lite, "~> 0.1.8"}
])

You will also want kino_vega_lite to ensure Livebook renders the graphics nicely.

You can add the :tucan dependency to your mix.exs:

def deps do
  [
    {:tucan, "~> 0.3.0"}
  ]
end

NOTE: While I will try to maintain backwards compatibility as much as possible, since this is still a 0.x.x project the API is not considered stable and thus subject to possible breaking changes up until v1.0.0.

• vega-lite and the awesome docs of it, many examples and most of the datasets used are based on it.
• The elixir VegaLite bindings
• seaborn, matplotlib and ggplot2 upon which the high level API is partially based.
• vega-themes from which the existing themes are ported.

Copyright (c) 2023 Panagiotis Nezis

Tucan is released under the MIT License. See the LICENSE file for more details.