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Welcome to Quarto​®

An open-source scientific and technical publishing system

  • Author using Jupyter notebooks or with plain text markdown in your favorite editor.
  • Create dynamic content with Python, R, Julia, and Observable.
  • Publish reproducible, production quality articles, presentations, dashboards, websites, blogs, and books in HTML, PDF, MS Word, ePub, and more.
  • Share knowledge and insights organization-wide by publishing to Posit Connect, Confluence, or other publishing systems.
  • Write using Pandoc markdown, including equations, citations, crossrefs, figure panels, callouts, advanced layout, and more.

Analyze. Share. Reproduce. You have a story to tell with data—tell it with Quarto.

Get Started

Guide

Hello, Quarto

Combine Jupyter notebooks with flexible options to produce production quality output in a wide variety of formats. Author using traditional notebook UIs or with a plain text markdown representation of notebooks.

Example Jupyter notebook entitled Palmer Penguins with code cells, text, and a scatterplot.

Output of example Jupyter notebook, Palmer Penguins, in HTML showing title, metadata, text, code, and scatterplot. At the top there is a dropdown option to show or hide the code.

Quarto is a multi-language, next generation version of R Markdown from Posit, with many new features and capabilities. Like R Markdown, Quarto uses knitr to execute R code, and is therefore able to render most existing Rmd files without modification.

---
title: "ggplot2 demo"
author: "Norah Jones"
date: "5/22/2021"
format: 
  html:
    fig-width: 8
    fig-height: 4
    code-fold: true
---

## Air Quality

@fig-airquality further explores the impact of temperature on ozone level.

```{r}
#| label: fig-airquality
#| fig-cap: "Temperature and ozone level."
#| warning: false

library(ggplot2)
ggplot(airquality, aes(Temp, Ozone)) + 
  geom_point() + 
  geom_smooth(method = "loess")
```

Example output with title (ggplot2 demo), author (Norah Jones), and date (5/22/2021). Below is a header reading Air Quality followed by body text (Figure 1 further explores the impact of temperature on ozone level.) with a toggleable code field, and figure with caption Figure 1 Temperature and ozone level.

Combine markdown and Julia code to create dynamic documents that are fully reproducible. Quarto executes Julia code either via the julia engine using QuartoNotebookRunner.jl or via the jupyter engine using the IJulia Jupyter kernel, enabling you to author in plain text (as shown below) or render existing Jupyter notebooks.

---
title: "Plots Demo"
author: "Norah Jones"
date: "5/22/2021"
format:
  html:
    code-fold: true
engine: julia
---

## Parametric Plots

Plot function pair (x(u), y(u)). 
See @fig-parametric for an example.

```{julia}
#| label: fig-parametric
#| fig-cap: "Parametric Plots"

using Plots

plot(sin, 
     x->sin(2x), 
     0, 
     2π, 
     leg=false, 
     fill=(0,:lavender))
```

Example Plots Demo output with title, author, date published and main section on Parametric plots which contains text, a toggleable code field, and the output of the plot, with the caption Figure 1 Parametric Plots.

Quarto includes native support for Observable JS, a set of JavaScript enhancements created by Mike Bostock (the author of D3). Observable JS uses a reactive execution model, and is especially well suited for interactive data exploration and analysis.

---
title: "observable plot"
author: "Norah Jones"
format: 
  html: 
    code-fold: true
---

## Seattle Precipitation by Day (2012 to 2016)

```{ojs}
data = FileAttachment("seattle-weather.csv")
  .csv({typed: true})
  
Plot.plot({
  width: 800, height: 500, padding: 0,
  color: { scheme: "blues", type: "sqrt"},
  y: { tickFormat: i => "JFMAMJJASOND"[i] },
  marks: [
    Plot.cell(data, Plot.group({fill: "mean"}, {
      x: d => new Date(d.date).getDate(),
      y: d => new Date(d.date).getMonth(),
      fill: "precipitation", 
      inset: 0.5
    }))
  ]
})
```

Example output with title, author, and date. Below, the main section reads Seattle Precipitation by Day (2012 to 2016) with a toggleable section to show code and a heatmap of the precipitation by day.

Dynamic Documents

Generate dynamic output using Python, R, Julia, and Observable. Create reproducible documents that can be regenerated when underlying assumptions or data change.

Learn more »

Beautiful Publications

Publish high-quality articles, reports, presentations, websites, and books in HTML, PDF, MS Word, ePub, and more. Use a single source document to target multiple formats.

Learn more »

Scientific Markdown

Pandoc markdown has excellent support for LaTeX equations and citations. Quarto adds extensions for cross-references, figure panels, callouts, advanced page layout, and more.

Learn more »

Authoring Tools

Use your favorite tools including Positron, VS Code, RStudio, Jupyter Lab, or any text editor. Use the Quarto visual markdown editor for long-form documents.

Learn more »

Interactivity

Engage readers by adding interactive data exploration to your documents using Jupyter Widgets, htmlwidgets for R, Observable JS, and Shiny.

Learn more »

Websites and Books

Publish collections of documents as a blog or full website. Create books and manuscripts in both print formats (PDF and MS Word) and online formats (HTML and ePub).

Learn more »

Get Started

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