Output formats supported by Kotlin Notebook

Edit pageLast modified: 24 April 2025

Kotlin Notebook supports a variety of output types, including text, HTML, and images. With the help of external libraries, you can expand your output options and visualize your data with charts, spreadsheets, and more.

Each output is a JSON object that maps the Jupiter MIME type to some data. From this map, Kotlin Notebook selects the supported MIME type with the highest priority among other types and renders it like this:

You can set up the mapping manually, for example, to use Markdown as a cell output:

MimeTypedResult(
    mapOf(
        "text/plain" to "123",
        "text/markdown" to "# HEADER",
        //other mime:value pairs
    )
)

To display any kind of output, use the DISPLAY() function. It also enables the combination of several outputs:

DISPLAY(HTML("<h2>Gaussian distribution</h2>"))
DISPLAY(LATEX("f(x) = \\frac{1}{\\sigma \\sqrt{2\\pi}} \\cdot e^{-\\frac{(x - \\mu)^2}{2\\sigma^2}}"))

val experimentX = experimentData.map { it.key }
val experimentY = experimentData.map { it.value }

DISPLAY(plot {
    bars {
        x(experimentX)
        y(experimentY)
    }
})
Different outputs for Gaussian distribution

Texts

Plain text

The simplest output type is plain text. It's used in printed statements, variable values, or any text-based output from your code:

val a1: Int = 1
val a2: Int = 2
var a3: Int? = a1 + a2

"My answer is $a3"
Plain text code output

  • If a cell's result cannot be rendered and displayed as any of the output types, it will be printed as plain text using the toString() function.

  • If your code contains errors, Kotlin Notebook displays an error message and a traceback, providing insights for debugging.

Rich text

Choose cells of the Markdown type to use rich text. This way, you can format the content with Markdown and HTML markup, using lists, tables, font styles, code blocks, and more. HTML can contain CSS styles and JavaScript.

## Line magics

| Spell                              | Description                                                                                                      | Example                                                                               |
|------------------------------------|------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------|
| <code>%use</code>                  | Injects code for supported libraries: artifact resolution, default imports, initialization code, type renderers. | <code>%use klaxon(5.5), lets-plot</code>                                              |
| <code>%trackClasspath</code>       | Logs any changes of current classpath. Useful for debugging artifact resolution failures.                        | <code>%trackClasspath [on |off]</code>                                                |
| <code>%trackExecution</code>       | Logs pieces of code that are going to be executed. Useful for debugging of libraries support.                    | <code>%trackExecution [all|generated|off]</code>                                      |
| <code>%useLatestDescriptors</code> | Use latest versions of library descriptors available. By default, bundled descriptors are used.                  | <code>%useLatestDescriptors [on|off]</code>                                           |
| <code>%output</code>               | Output capturing settings.                                                                                       | <code>%output --max-cell-size=1000 --no-stdout --max-time=100 --max-buffer=400</code> |
| <code>%logLevel</code>             | Set logging level.                                                                                               | <code>%logLevel [off|error|warn|info|debug]</code>                                    |

<ul><li><a href="https://github.com/Kotlin/kotlin-jupyter/blob/master/docs/magics.md">Learn more detailes about line magics</a>.</li>
<li><a href="https://github.com/Kotlin/kotlin-jupyter/blob/master/docs/magics.md">See the full list of supported libraries</a>.</li></ul>
Rich text in Markdown cells

HTML

Kotlin Notebook can render HTML directly, executing scripts or even embedding websites:

HTML("""
<p>Counter: <span id="ctr">0</span> <button onclick="inc()">Increment</button></p>
<script>
    function inc() {
        let counter = document.getElementById("ctr")
        counter.innerHTML = parseInt(counter.innerHTML) + 1;
}
</script>
""")
Using HTML script

note

Mark your notebook as Trusted at the top of the file to be able to execute scripts.

Images

With Kotlin Notebook, you can display images from files, generated graphs, or any other visual media. Static images can be displayed in formats such as .png, jpeg, and .svg.

Buffered images

By default, you can use BufferedImage class to display images:

import java.awt.Color
import java.awt.image.BufferedImage

val width = 300
val height = width

val image = BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB)

val graphics = image.createGraphics()
graphics.background = Color.BLACK
graphics.clearRect(0, 0, width, height)
graphics.setRenderingHint(
    java.awt.RenderingHints.KEY_ANTIALIASING,
    java.awt.RenderingHints.VALUE_ANTIALIAS_ON
)
graphics.color = Color.WHITE
graphics.fillRect(width / 10, height * 8 / 10, width * 10 / 20, height / 10)
graphics.dispose()
Using default BufferedImage to display images

Loaded images

With the help of the lib-ext library, you can extend the standard Jupyter functionality and display images loaded from the network:

%use lib-ext(0.11.0-398)
Image("https://kotlinlang.org/docs/images/kotlin-logo.png", embed = false).withWidth(300)
Using external image links

Embedded images

A disadvantage of images loaded from the network is that the image disappears if the link breaks or if you lose the network connection. To work around that, use embedded images, for example:

val kotlinMascot = Image("https://blog.jetbrains.com/wp-content/uploads/2023/04/DSGN-16174-Blog-post-banner-and-promo-materials-for-post-about-Kotlin-mascot_3.png", embed = true).withWidth(400)
kotlinMascot
Using embedded images

Math formulas and equations

You can render mathematical formulas and equations using the LaTeX format, a typesetting system widely used in academia:

  1. Add the lib-ext library that extends the functionality of the Jupyter kernel to your notebook:

    %use lib-ext(0.11.0-398)

  2. In the new cell, run your formula:

    LATEX("c^2 = a^2 + b^2 - 2 a b \\cos\\alpha")
    Using LaTeX to render mathematical formulas

Data frames

With Kotlin Notebook, you can visualize structured data with data frames:

  1. Add the Kotlin DataFrame library to your notebook:

    %use dataframe

  2. Create the data frame and run it in the new cell:

    val months = listOf(
    "January", "February",
    "March", "April", "May",
    "June", "July", "August",
    "September", "October", "November",
    "December"
)

// Sales data for different products and months:
val salesLaptop = listOf(120, 130, 150, 180, 200, 220, 240, 230, 210, 190, 160, 140)
val salesSmartphone = listOf(90, 100, 110, 130, 150, 170, 190, 180, 160, 140, 120, 100)
val salesTablet = listOf(60, 70, 80, 90, 100, 110, 120, 110, 100, 90, 80, 70)

// A data frame with columns for Month, Sales, and Product
val dfSales = dataFrameOf(
    "Month" to months + months + months,
    "Sales" to salesLaptop + salesSmartphone + salesTablet,
    "Product" to List(12) { "Laptop" } + List(12) { "Smartphone" } + List(12) { "Tablet" },
)

    The data frame uses the dataFrameOf() function and includes the number of products (laptops, smartphones, and tablets) sold in a 12-month period.

  3. Explore the data in your frame, for example, by finding the product and month with the highest sales:

    dfSales.maxBy("Sales")
    Using DataFrame to visualize data

  4. You can also export your data frame as a CSV file:

    // Export your data to CSV format
dfSales.writeCSV("sales-stats.csv")

Charts

You can create various charts directly in your Kotlin Notebook to visualize your data:

  1. Add the Kandy plotting library to your notebook:

    %use kandy

  2. Use the same data frame and run the plot() function in the new cell:

    val salesPlot = dfSales.groupBy { Product }.plot {
    bars {
        // Access the data frame's columns used for the X and Y axes
        x(Month)
        y(Sales)
        // Access the data frame's column used for categories and sets colors for these categories
        fillColor(Product) {
            scale = categorical(
                "Laptop" to Color.PURPLE,
                "Smartphone" to Color.ORANGE,
                "Tablet" to Color.GREEN
            )
            legend.name = "Product types"
        }
    }
    // Customize the chart's appearance
    layout.size = 1000 to 450
    layout.title = "Yearly Gadget Sales Results"
}

salesPlot
    Using Kandy to render visualize data

  3. You can also export your plot in the .png, jpeg, .html, or .svg format:

    // Specify the output format for the plot file:
salesPlot.save("sales-chart.svg")

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