Write Jupyter widgets entirely in Python — no JavaScript required.

pywidget lets you define both the kernel-side state and the browser-side rendering of a Jupyter widget in a single Python class. Your rendering code runs in the browser via Pyodide (CPython compiled to WebAssembly) and syncs state bidirectionally with the kernel through anywidget.

Runs anywhere anywidget runs — Jupyter Lab, Jupyter Notebook, marimo, and more.

• One language — define state, rendering, and interaction logic all in Python. No JavaScript, no separate frontend build step.
• Responsive UI — event handlers run locally in the browser via Pyodide. No round-trip to the kernel on every click or keystroke.
• Full Python in the browser — import NumPy, Pandas, scikit-learn, and 250+ other packages directly in your rendering code via Pyodide's scientific stack.
• Real methods, not strings — write render and update as regular methods on your class with full IDE support (autocomplete, linting, go-to-definition).
• Zero build infrastructure — pip install pywidget and go. No npm, no webpack, no jupyter labextension develop.

pip install pywidget

For use with marimo:

pip install pywidget marimo

import traitlets
from pywidget import PyWidget

class CounterWidget(PyWidget):
    count = traitlets.Int(0).tag(sync=True)

    def render(self, el, model):
        count = model.get("count")
        el.innerHTML = f"""
        <div style="display:flex; align-items:center; gap:12px; font-family:sans-serif;">
            <button id="dec">-</button>
            <span id="display">{count}</span>
            <button id="inc">+</button>
        </div>
        """
        def on_inc(event):
            new = model.get("count") + 1
            model.set("count", new)
            model.save_changes()
            el.querySelector("#display").textContent = str(new)

        def on_dec(event):
            new = model.get("count") - 1
            model.set("count", new)
            model.save_changes()
            el.querySelector("#display").textContent = str(new)

        el.querySelector("#inc").addEventListener("click", create_proxy(on_inc))
        el.querySelector("#dec").addEventListener("click", create_proxy(on_dec))

    def update(self, el, model):
        display = el.querySelector("#display")
        if display:
            display.textContent = str(model.get("count"))

CounterWidget()

In marimo, wrap your widget instance with mo.ui.anywidget() to integrate with marimo's reactive execution engine:

import marimo as mo
import traitlets
from pywidget import PyWidget

class CounterWidget(PyWidget):
    count = traitlets.Int(0).tag(sync=True)

    def render(self, el, model):
        count = model.get("count")
        el.innerHTML = f"""
        <div style="display:flex; align-items:center; gap:12px; font-family:sans-serif;">
            <button id="dec">-</button>
            <span id="display">{count}</span>
            <button id="inc">+</button>
        </div>
        """
        def on_inc(event):
            new = model.get("count") + 1
            model.set("count", new)
            model.save_changes()
            el.querySelector("#display").textContent = str(new)

        def on_dec(event):
            new = model.get("count") - 1
            model.set("count", new)
            model.save_changes()
            el.querySelector("#display").textContent = str(new)

        el.querySelector("#inc").addEventListener("click", create_proxy(on_inc))
        el.querySelector("#dec").addEventListener("click", create_proxy(on_dec))

widget = mo.ui.anywidget(CounterWidget())
widget

Changes to synced traitlets propagate through marimo's dependency graph, so downstream cells re-execute automatically. See examples/pywidget_marimo_demo.py for a full walkthrough.

The render and update methods look like regular Python, but they execute in the browser inside a Pyodide runtime. At class-creation time pywidget extracts their source via inspect.getsource(), strips self, and sends the code to the frontend. The kernel never runs these methods.

Inside render and update, the model object supports:

The rendering namespace automatically includes:

• create_proxy(fn) — prevent GC of Python callbacks passed to JS APIs like addEventListener
• to_js(obj) — explicitly convert a Python object to a JS value
• document — the browser's document object
• console — the browser's console object

Use _py_packages to install packages via micropip before rendering:

class StatsWidget(PyWidget):
    data = traitlets.List(traitlets.Float(), []).tag(sync=True)
    _py_packages = ["numpy"]

    def render(self, el, model):
        import numpy as np
        arr = np.array(list(model.get("data")))
        el.innerHTML = f"Mean: {arr.mean():.2f}, Std: {arr.std():.2f}"

Any pure-Python wheel or package bundled with Pyodide works here (numpy, pandas, scipy, and ~200 others).

If you prefer, you can set _py_render directly instead of defining methods:

class HelloWidget(PyWidget):
    _py_render = """
def render(el, model):
    el.innerHTML = "<h2>Hello from Pyodide!</h2>"
"""

When _py_render is set explicitly, method extraction is skipped.

• First render: 3–5 s — Pyodide (~11 MB WASM) downloads once per page. Subsequent page loads use the browser cache (1–2 s).
• Subsequent widgets: instant — all instances share a single Pyodide runtime.
• Interaction latency: near-zero — event handlers run locally in the browser; kernel sync happens asynchronously.

pywidget is a thin layer on top of anywidget. PyWidget subclasses anywidget.AnyWidget and sets _esm to a JS bridge (~170 lines) that loads Pyodide, runs your Python rendering code in an isolated namespace, and proxies the anywidget model API. No modifications to anywidget are needed.

If you use AI coding agent to create pywidgets, we recommend installing our skill/ that documents how to build widgets correctly.

To install in claude code:

mkdir -p ~/.claude/skills/create-pywidget
curl -sL https://raw.githubusercontent.com/ktaletsk/pywidget/main/skill/SKILL.md \
  -o ~/.claude/skills/create-pywidget/SKILL.md
curl -sL https://raw.githubusercontent.com/ktaletsk/pywidget/main/skill/examples.md \
  -o ~/.claude/skills/create-pywidget/examples.md

MIT