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Live reveal.js slideshow for MyST Markdown notebooks in JupyterLab.

Project description

jupyterlab-myst-revealjs

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Live reveal.js slideshow for MyST Markdown notebooks in JupyterLab.

Screenshot

Open any notebook as a slideshow panel beside the notebook editor. Markdown cells are rendered via jupyterlab-myst, code cells use JupyterLab's native CodeCell widget — execute code and see results on slides in real time.

Features

  • reveal.js slideshow — present notebooks as reveal.js slides directly in JupyterLab
  • Slide structureslide, subslide, fragment, skip via cell metadata
  • MyST Markdown — admonitions, math, cross-references, and all MyST directives
  • Live code execution — Shift+Enter runs code cells on slides (shared kernel with notebook)
  • Cell tags
    • Jupyter Book compatible — hide-input, hide-output, hide-cell, remove-input, remove-output, remove-cell
    • Grid layout — gridwidth-* tags for multi-column layouts
  • Customization
    • Slide backgrounds — per-slide background color/image via cell metadata
    • Themes — 6 bundled reveal.js themes (black, white, dracula, serif, and more)
    • Custom CSS — drop a myst-revealjs.css next to your notebook for custom styling
    • Header / Footer — CSS-based overlays customizable via myst-revealjs.css
  • Keyboard controls
    • Code visibility toggle — i / o keys to toggle input/output on focused code cells during the slideshow
    • Fullscreen / Overview — f for fullscreen, o for slide overview

Requirements

Install

pip install jupyterlab-myst-revealjs

No Node.js required — this is a prebuilt extension.

Uninstall

pip uninstall jupyterlab-myst-revealjs

Quick Start

  1. Open a notebook in JupyterLab.
  2. Click the slideshow button in the toolbar, or run slideshow:open from the Command Palette.
  3. Set slide types via the Property Inspector (right sidebar).
  4. Press Shift+Enter on code cells to execute them on slides.

Configuration

Add a myst-revealjs key to your notebook metadata to configure reveal.js options:

{
  "myst-revealjs": {
    "theme": "white",
    "transition": "fade",
    "slideNumber": true
  }
}

See the documentation for full configuration options, cell metadata reference, and migration guide from RISE.

Development

Building

uv venv && uv pip install -e ".[dev]"
jlpm install && jlpm build
jupyter labextension develop . --overwrite

Run jlpm watch in one terminal and jupyter lab in another for live development.

Testing

jlpm test                    # Unit tests (Jest)
cd ui-tests && jlpm test     # E2E tests (Playwright + Galata)

See CONTRIBUTING for details.

License

MIT

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