custom jupyter widgets made easy
- create widgets without complicated cookiecutter templates
- publish to PyPI like any other Python package
- prototype within
.ipynb
or.py
files - run in Jupyter, JupyterLab, Google Colab, VSCode, and more
- develop (optionally) with Vite for instant HMR
pip install anywidget
import anywidget
import traitlets
class CounterWidget(anywidget.AnyWidget):
# Widget front-end JavaScript code
_esm = """
export function render(view) {
let getCount = () => view.model.get("count");
let button = document.createElement("button");
button.innerHTML = `count is ${getCount()}`;
button.addEventListener("click", () => {
view.model.set("count", getCount() + 1);
view.model.save_changes();
});
view.model.on("change:count", () => {
button.innerHTML = `count is ${getCount()}`;
});
view.el.appendChild(button);
}
"""
# Stateful property that can be accessed by JavaScript & Python
count = traitlets.Int(0).tag(sync=True)
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
npm version [major|minor|patch]
git tag -a vX.X.X -m "vX.X.X"
git push --follow-tags