Quarto is an open-source scientific and technical publishing system that turns Markdown and notebook files into websites, books, PDFs, presentations, and more. It comes from Posit, the company behind RStudio, and it runs the same code you write in Python, R, Julia, or Observable so the results in your document stay reproducible. This review covers what Quarto does well, where it struggles, and who should actually use it in 2026.
If you already know the general docs-tooling space, Quarto sits near the reproducible-research end of it. It overlaps with tools we've reviewed like Sphinx for Python documentation and Jupyter Book for computational narratives, and it shares the plain-text, version-controlled philosophy behind a docs-as-code workflow. If your goal is a product docs site rather than a research paper, the comparison shifts, and we'll get to that.
For teams weighing options, it also helps to read this next to a theme-first tool like Material for MkDocs and to think through where you'll host the output once it builds. Quarto produces static files, so hosting is flexible.
What is Quarto?
Quarto is a command-line publishing system that takes a plain-text source file and renders it into a finished document. The source is usually a .qmd file, which looks like Markdown with a YAML header and optional code blocks. You can also point Quarto at a Jupyter notebook and render that directly.
Posit released Quarto as the successor to R Markdown. The key difference is that Quarto is language-agnostic. R Markdown was tied to R and the knitr engine. Quarto keeps that engine but adds first-class support for Python, Julia, and Observable JavaScript, so a data team that lives in Python gets the same authoring experience an R user gets.
The current stable release is Quarto 1.11, published in mid-2026. Posit has also announced Quarto 2, planned for late 2026 and designed to stay backward compatible with version 1. The project is actively maintained, which matters when you pick a tool you expect to run for years.
How Quarto works
Under the hood, Quarto leans on two well-known pieces of software. Pandoc handles the conversion between formats, and a computation engine runs any embedded code. That split is what makes the system flexible without reinventing everything.
When you render a document, Quarto walks through a clear sequence:
- It reads the
.qmdfile and pulls out the YAML front matter that sets the output format and options. - It sends code cells to the right engine. Jupyter runs Python, Julia, and other kernels. Knitr runs R.
- The engine executes each cell and captures the output: tables, plots, printed values, and warnings.
- Pandoc takes the resulting Markdown plus captured output and produces the final file.
Because code runs at render time, the numbers and figures in the document always match the current data. Change the dataset, render again, and every chart updates. That reproducibility is the whole point, and it's the reason researchers moved to this style of authoring in the first place.
Output formats
One source file can produce many targets, and this is where Quarto earns its keep. You set the format in the YAML header or pass it on the command line. The same report.qmd can become a web page for a teammate and a print-ready PDF for a journal without edits to the prose.
Supported outputs include:
- HTML documents and full multi-page websites
- PDF through LaTeX, plus a Typst path that skips LaTeX entirely
- Microsoft Word for collaborators who mark up
.docxfiles - Books with chapters, cross-references, and a shared bibliography
- Presentations built on reveal.js, PowerPoint, or Beamer
- Dashboards that arrange plots and tables into a live layout
The Typst option deserves a note. It gives you fast PDF output without a full LaTeX install, which removes one of the oldest pain points in this kind of tooling.
Quarto vs R Markdown vs a Markdown SSG
Picking the right tool starts with what you're publishing. The table below lines up Quarto against R Markdown, its predecessor, and a typical Markdown static site generator like MkDocs, which many teams reach for when they want a docs site rather than a document.
| Factor | Quarto | R Markdown | Markdown SSG (MkDocs) |
|---|---|---|---|
| Languages | Python, R, Julia, Observable | R first, others limited | None; prose only |
| Outputs | HTML, PDF, Word, books, slides, dashboards | HTML, PDF, Word, slides | HTML site |
| Executable code | Yes, at render time | Yes, at render time | No |
| Best for | Reproducible technical and scientific docs | R-centric reports | Product and project docs sites |
| Learning curve | Moderate; steeper for PDF | Moderate | Low |
The pattern is clear. If your document contains code and results, Quarto or R Markdown fit. If it's pure prose organized into a navigable site, a Markdown SSG is lighter and faster to stand up. Language-specific setups shift the math again, as our Rust documentation guide shows.
Key features
Beyond multi-format output, a few features make Quarto pleasant to live with day to day.
Cross-references. You can label figures, tables, equations, and sections, then reference them by key. Numbering stays correct as you add or remove content, which saves real time in long documents.
Citations and bibliographies. Quarto reads BibTeX and CSL styles, so academic writing with proper references works without a separate reference manager step at render time.
Code execution options. You control whether each cell runs, whether its source shows, and whether output appears. That level of control lets one file serve both a technical audience and a summary reader.
Freeze and caching. For expensive computations, Quarto can freeze results so a site rebuild doesn't rerun everything. Continuous integration pipelines benefit here.
Editor support. Quarto works in RStudio, VS Code, Jupyter, and plain text editors. The VS Code extension adds a visual editor and live preview, so you see output as you type.
Setting up Quarto
Getting started is straightforward. You install the Quarto command-line tool from quarto.org, and that single binary covers every platform: macOS, Windows, and Linux. Quarto does not ship Python or R, so you install the language runtime you plan to use separately.
A minimal first project takes three steps. Install the CLI. Create a .qmd file with a title and a code block. Run quarto render in the terminal. For PDF output you also add a LaTeX distribution, or you switch the format to Typst and skip LaTeX. To build a website or book, you run quarto create project and Quarto scaffolds the folder structure, config file, and starter pages for you.
The learning curve is gentle for HTML and Word. It steepens for PDF, mainly because LaTeX errors are cryptic and page layout takes fiddling. Most of the friction people report comes from that PDF path, not from Quarto itself.
Pros
Quarto's strengths cluster around reproducibility and reach.
- True reproducibility. Code, results, and prose live in one file, so figures never drift from the data behind them.
- One source, many formats. Write once, publish to web, PDF, Word, and slides. The single-source model cuts duplicate effort.
- Language freedom. Python, R, Julia, and Observable users share the same tool instead of splitting across ecosystems.
- Active backing. Posit maintains it, funds it, and has a public roadmap through Quarto 2.
- Free and open source. No license cost, no seat limits, and the output is portable static files.
Cons and limitations
No tool fits every job, and Quarto has honest tradeoffs worth knowing before you commit.
- PDF depends on LaTeX. The classic PDF path needs a LaTeX install and produces error messages that frustrate newcomers. Typst helps but is younger.
- Heavier than a plain SSG. For a simple docs site with no code execution, Quarto asks you to learn more than a basic Markdown generator would.
- Build times grow. Documents with heavy computation take a while to render unless you configure freezing and caching.
- Not built for branded product docs. Quarto targets documents and technical sites, not marketing-grade product documentation with custom theming out of the box.
Who should use Quarto
Quarto is a strong pick for data scientists, researchers, analysts, and technical authors who mix code, results, and writing. If you produce reports, papers, textbooks, or course material where the numbers must trace back to real computation, few tools match it. Teams already using RStudio or Jupyter will feel at home fast, and the reproducibility guarantees are worth the setup.
It's a weaker pick for people who just need a clean docs site with no executable code. If you're writing narrative documentation, a knowledge base, or a project wiki, a lighter tool gets you there with less overhead. A hosted platform like Read the Docs or a plain Markdown generator carries less weight for that job.
Best alternatives
If Quarto isn't quite right, a few options cover the neighboring use cases.
Jupyter Book targets a similar reproducible-book audience and pairs naturally with notebook-first teams. Sphinx remains the standard for large Python API references with autodoc. Material for MkDocs wins when you want a fast, good-looking Markdown site without code execution.
For SaaS founders and small teams, the need is usually different. You want a branded product docs site, not a scientific document. That's where a managed AI platform fits better than a render-your-own tool. Docsio generates a branded docs site straight from your URL, hosts it with SSL, and lets you edit with an AI agent, so you skip LaTeX, build configs, and theme wrangling entirely. If reproducible research is your world, Quarto is excellent. If a polished product docs site is the goal, AI-generated documentation will get you live in a fraction of the time. You can start free and see the output before committing.
The bottom line
Quarto is one of the best tools available for reproducible scientific and technical publishing. It runs your code, keeps results honest, and publishes to nearly any format from a single source. The tradeoff is weight: for code-heavy documents it's ideal, and for a simple branded docs site it's more machinery than the job needs. Match the tool to the document, and Quarto rewards you.
FAQ
What is Quarto used for?
Quarto is used to write and publish technical and scientific documents that mix prose with live code. Authors produce reports, papers, books, websites, presentations, and dashboards from one Markdown or notebook source, with embedded Python, R, or Julia code running at render time to keep results reproducible.
Is Quarto free?
Yes. Quarto is fully open source and free to use, with no license fees, seat limits, or paid tiers. Posit, the company behind RStudio, develops and maintains it. You install the command-line tool at no cost, and the static files it produces are yours to host anywhere you like.
What is the difference between Quarto and R Markdown?
Quarto is the successor to R Markdown and is language-agnostic. R Markdown centered on R and the knitr engine. Quarto keeps that engine but adds first-class Python, Julia, and Observable support, plus more output formats and better cross-referencing. Existing R Markdown documents keep working, so the migration path stays gentle.
Can Quarto build a documentation website?
Yes. Quarto builds full multi-page websites and books, complete with navigation, search, cross-references, and a shared bibliography. You run a create-project command, and Quarto scaffolds the config and starter pages. The result is static HTML you can host on any static host or continuous integration pipeline you already use.