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Anywidgets

Marimo's anywidget integration lets you author fully interactive UI components as small ES modules. On a live marimo notebook these render inside a marimo kernel that mediates Python ↔ JS state; on a static marimo-book page, there's no kernel. marimo-book makes anywidgets render anyway via a small runtime shim that's loaded on every page.

Live demo: drawdata

drawdata is a small anywidget — a self-contained ES module that draws onto a <canvas>. Click and drag in the panel below to scribble points; press a number key (1–4) before drawing to switch the active class.

This page is static — there is no Python kernel running. The widget renders because marimo-book extracts the inlined ES module from marimo export's output and mounts it via a ~150-line shim (marimo_book.js).

canvas = mo.ui.anywidget(ScatterWidget(height=320))
canvas

What you can and can't do statically

  • ✅ The widget renders — anywidget's _esm trait is inlined as a data: URL, so no kernel and no CDN are required.
  • ✅ All client-side interaction works — drawing, brush colours, the canvas itself.
  • ❌ The drawn data cannot flow into a downstream Python cell. That needs a kernel.

For genuine Python reactivity (drawn points → live DataFrame → live plot) flip the chapter to mode: wasm in book.yml. See the WASM demo for what that looks like.

How it works

  1. During build, marimo export ipynb outputs each anywidget as a <marimo-anywidget> custom element with the widget's ES module inlined as a base64 data URL on the data-js-url attribute.
  2. The preprocessor rewraps it as <div class="marimo-book-anywidget" data-js-url="...">.
  3. At page load, a ~150-line JS shim (marimo_book.js, bundled via extra_javascript) finds each mount, dynamically imports the module via import(), builds a minimal anywidget-compatible model object, and calls module.default.render({model, el}).

No marimo runtime needed. No WebSocket. Just one JS file and the widget's own ES module.

Seeding widget state

Anywidget JS modules typically read initial state via model.get("key"). Since there's no live kernel to provide that state, marimo-book has to seed it before render() is called.

Two precedence layers — both optional; whichever values exist at each layer are merged (later wins):

1. widget_defaults in book.yml

widget_defaults:
  CompassWidget:
    b0: 3.0
  PrecessionWidget:
    b0: 3.0
    flip_angle: 90.0
    t1: 0.0
    t2: 0.0
    show_relaxation: false
    paused: false

One entry per widget class name. Recommended when multiple cells instantiate the same widget and you want them all to share the same defaults.

2. Literal kwargs in the cell

@app.cell
def _(mo):
    mo.ui.anywidget(PrecessionWidget(flip_angle=30.0, show_relaxation=True))
    return

marimo-book walks the cell's AST, finds the widget constructor call (any CamelCase class ending in Widget, View, or Mount), and extracts literal kwargs (int, float, bool, str, None, list, dict). These override widget_defaults for that specific mount.

Troubleshooting

"Nothing renders, but I see a placeholder div in DevTools."

  • Check the browser console for an import error. A typo in the widget's data URL would show as a syntax error.
  • Confirm that javascripts/marimo_book.js loaded (Network tab).

"The widget renders but throws Cannot read properties of undefined in an animation loop."

  • The widget's JS is reading a model.get("key") that isn't seeded. Either add that key to widget_defaults in book.yml, or make the widget JS defensive with model.get("key") ?? defaultValue.

"I want the widget to persist state between page navigations."

  • State lives in the mount <div>; Material's instant navigation re-runs the shim on every page load. For state that needs to persist, store it in localStorage from inside your widget's JS.

Plotly figures

Plotly figures (anything that produces a plotly.graph_objects.Figure, including make_subplots, px.scatter, etc.) render fully interactive on static pages — zoom, pan, hover, the whole toolbar.

The pipeline:

  1. Marimo's exporter emits each figure as <marimo-plotly data-figure='{json}' data-config='{json}'> with the complete figure spec inlined.
  2. The preprocessor rewraps it as <div class="marimo-book-plotly" data-figure='{json}'>.
  3. On page load, marimo_book.js lazy-loads Plotly.js from jsdelivr (cached after first chapter that has a chart) and calls Plotly.newPlot(mount, data, layout, config) per mount.

No kernel, no extra setup. Just write the figure as you would in any marimo notebook and it renders as the static last expression of its cell.

@app.cell(hide_code=True)
def _(go, x, y):
    fig = go.Figure()
    fig.add_trace(go.Scatter(x=x, y=y, mode='lines'))
    fig.update_layout(title="My chart", height=400)
    fig
    return

CSS reserves a 320 px slot before hydration so the page doesn't jump when Plotly mounts. If your chart needs more space, set fig.update_layout(height=...) — the Plotly height wins.

Elements we strip

Marimo's <marimo-ui-element> wrappers around standalone controls — <marimo-slider>, <marimo-switch>, <marimo-dropdown>, <marimo-radio>, <marimo-number>, <marimo-button> — require a running kernel to be meaningful. marimo-book strips them at preprocess time. For static pages, use an anywidget that includes its controls inside the widget itself, opt the page into mode: wasm, or rely on precompute.enabled for discrete-value sliders.

Example: dartbrains widgets

Dartbrains ships ten Canvas 2D and Three.js anywidgets (compass, magnetization, precession, spin ensemble, k-space, encoding, convolution, transform cube, cost function, smoothing) that render live on static pages with this pipeline. Its book.yml widget_defaults block is a good template to copy.