anywidget 0.0.2

A reusable Jupyter Widget

anywidget

create custom jupyter widgets without tooling hell

pip install anywidget

usage

import anywidget
import traitlets

ESM = """
export function render(view) {
    function setCount(update) {
        p.innerText = update;
        view.model.set("count", update);
        view.model.save_changes();
    }
    let root = document.createElement("div");
    Object.assign(root.style, {
        display: "grid",
        gridAutoFlow: "column",
        textAlign: "center",
    })
    let p = Object.assign(document.createElement("p"), {
        innerText: view.model.get("count") ?? 0,
    });
    let decrement = Object.assign(document.createElement("button"), {
        innerText: "-",
        onclick: () => setCount(view.model.get("count") - 1),
    });
    let increment = Object.assign(document.createElement("button"), {
        innerText: "+",
        onclick: () => setCount(view.model.get("count") + 1),
    });
    root.appendChild(decrement);
    root.appendChild(p);
    root.appendChild(increment);
    view.el.appendChild(root);
}
"""

# Alternatively, a URL
# ESM = "http://localhost:5173/index.js"

class CounterWidget(anywidget.AnyWidget):
    _module = traitlets.Unicode(ESM).tag(sync=True) # required, must be ESM
    count = traitlets.Int(0).tag(sync=True)

why

The official widget cookiecutter templates include complicated build configuration to ensure widgets may be published and correctly installed in a variety of notebook environments. I want to make widgets quickly and the overhead to create and maintain a project derived from one of these templates is challenging.

anywidget is an experiment to enable the creation of custom widgets via simple Python modules – no complicated build steps or bundling.

how

Widgets are defined by combining an ECMAScript Module with a Python class which derives from anywidget.AnyWidget. The provided ECMAScript Module must include a named export called render to render the corresponding view. You can add and sync new properties by adding traitlets in your derived Python classes and subscribing and publishing changes via view.model in the client render function.

Note Your JS code must be vaid ESM. You can import dependencies from a CDN (e.g., import * as d3 from "https://esm.sh/d3") or use a bundler to target ESM.

development

pip install -e .

If you are using the classic Jupyter Notebook you need to install the nbextension:

jupyter nbextension install --py --symlink --sys-prefix anywidget
jupyter nbextension enable --py --sys-prefix anywidget

Note for developers:

• the -e pip option allows one to modify the Python code in-place. Restart the kernel in order to see the changes.
• the --symlink argument on Linux or OS X allows one to modify the JavaScript code in-place. This feature is not available with Windows.

For developing with JupyterLab:

jupyter labextension develop --overwrite anywidget

release

npm version [major|minor|patch]
git tag -a vX.X.X -m "vX.X.X"
git push --follow-tags