Quarto
Open-source scientific and technical publishing system.
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What is Quarto?
Quarto is an open-source scientific and technical publishing system designed to enable reproducible, high-quality content creation. It allows users to author documents using Pandoc markdown, integrating code execution with narrative text to produce dynamic outputs. The tool is widely used by data scientists, researchers, educators, and developers who need to generate reports, presentations, dashboards, and books. Quarto solves the challenge of combining code, analysis, and narrative in a single document while supporting multiple programming languages and output formats. By leveraging technologies like Pandoc and knitr, it provides a flexible platform for publishing across platforms, ensuring consistency and reproducibility in technical communication.
How it works
Quarto is a multi-language, open-source tool that extends the capabilities of R Markdown by supporting Python, R, Julia, and Observable. It enables users to create dynamic content that combines code execution with narrative text, producing reproducible outputs in formats like HTML, PDF, and ePub. The primary purpose of Quarto is to streamline the process of scientific and technical publishing. It allows authors to write once and publish anywhere, ensuring that computational results are integrated with explanatory text for audiences ranging from academic peers to general readers. Quarto supports advanced markdown features such as equations, citations, figure panels, and cross-references. It integrates with Jupyter notebooks and plain text editors, enabling flexible authoring workflows. For example, users can generate HTML reports with embedded R code to visualize data, as demonstrated in the 'ggplot2 demo' example.
How to use it
- 1Install Quarto via the official CLI or package managers for your operating system. 2. Choose an authoring tool like VS Code, RStudio, or a plain text editor. 3. Create a new document using Pandoc markdown syntax, incorporating code blocks and narrative text. 4. Render the document to your desired format (e.g., HTML or PDF) using the quarto render command. Practical tips include using code-fold settings to hide code blocks by default and leveraging Quarto's built-in templates for consistent styling. For instance, the 'html' format allows customization of figure sizes and layout through front-matter parameters.
What it can do
- scientific publishing
Use cases
Assumptions and limitations
Assumptions
- source: https://github.com/quarto-dev/quarto-cli
- license: MIT — free to use
- privacy: Self-hosted — you control your data
Limitations
- Dependence on Pandoc for markdown processing may limit advanced formatting options
- Some R package functionalities may require additional configuration for full compatibility
- Learning curve for users unfamiliar with markdown or R Markdown syntax
- Limited native support for certain third-party libraries in non-R environments
- Custom template development requires familiarity with Pandoc's template system
Understanding the result
Open-source scientific and technical publishing system.
Tool details
- Clearly flagged when a network request is needed.
- No account, no sign-up, and no tracking of your content.
- Powered by (MIT).
- Built with
- (quarto-dev/quarto-cli)
- License
- MIT
- Runs locally
- No — requires a network request
- Verification
- Not yet verified
- Input
- Query
- Output
- Text
Built with quarto-dev/quarto-cli. OpenToolVault provides the discovery and browser interface while crediting the original project maintainers.
- Built with
- License
- MIT
Open-source project
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References
- / — GitHub Repository
Upstream project · GitHub
- MIT License
Upstream project
Frequently asked
How does Quarto handle code execution across different programming languages?
Quarto uses language-specific backends to execute code blocks. For R, it integrates with knitr; for Python, it leverages the standard IPython kernel. Each code block is isolated, and outputs are captured in the rendered document. This allows seamless switching between languages within a single document while maintaining reproducibility.
How does Quarto differ from traditional R Markdown?
Quarto extends R Markdown by adding support for Python, Julia, and Observable. It introduces a new template-variable namespace for localization and enhanced customization. Unlike R Markdown, Quarto's CLI tool provides cross-platform installation and improved template management, making it more versatile for diverse publishing needs.
How do I create a Quarto document with embedded R code?
Start by installing Quarto and creating a new file with the .qmd extension. Add code blocks using triple backticks, specifying the language as R. For example: ```{r} summary(mtcars) ``` Include narrative text between code blocks. Use the command `quarto render document.qmd` to generate an HTML file with the executed results.
How does Quarto compare to Jupyter Notebooks?
Quarto offers greater flexibility in output formats and integrates with both Jupyter notebooks and plain text editors. Unlike Jupyter, which is primarily web-based, Quarto's CLI tool enables offline publishing. It also provides advanced markdown features and better compatibility with academic publishing formats like PDF and ePub.
What should I do if my code isn't executing in Quarto?
Verify that the code block is properly formatted with triple backticks and the correct language specifier. Check for syntax errors in the code. Ensure all required packages are installed. If using R, confirm that knitr is compatible with your R version. For Python, verify that the environment is correctly configured in the quarto.yaml file.