A client for ReactPy implemented using Jupyter widgets

Check out some live examples by clicking the badge below:

To install use pip:

pip install reactpy_jupyter 

Once you're done getting started, you can author and display ReactPy layouts natively in your Jupyter Notebook:

import reactpy @reactpy.component def ClickCount(): count, set_count = reactpy.hooks.use_state(0) return reactpy.html.button( {"onClick": lambda event: set_count(count + 1)}, [f"Click count: {count}"], ) ClickCount()

You can also turn an reactpy element constructor into one that returns an ipywidget with the reactpy_juptyer.to_widget function. This is useful if you wish to use ReactPy in combination with other Jupyter Widgets as in the following example:

ClickCountWidget = reactpy_jupyter.to_widget(ClickCount) ipywidgets.Box( [ ClickCountWidget(), ClickCountWidget(), ] )

For a more detailed introduction check out this live demo here:

For a development installation (requires Node.js and Yarn version 1),

$ git clone https://github.com/reactive-python/reactpy-jupyter.git $ cd reactpy-jupyter $ pip install -e . 

To automatically re-build and refresh Jupyter when making changes start a Vite dev server:

$ npx vite 

Then, before importing reactpy_jupyter set the following environment variable:

import os os.environ["REACTPY_JUPYTER_DEV"] = "1" import reactpy_jupyter