How can I improve the performance of my Plotly Dash app in Jupyter Notebook?

How can I improve the performance of my Plotly Dash app in Jupyter Notebook?

To enhance the performance of your Plotly Dash app, consider optimizing your callbacks, reducing the data size, and using caching.

What are some specific techniques for optimizing callbacks?

You can use the @app.callback decorator efficiently by minimizing the number of inputs and outputs, and using dash.dependencies.State for inputs that don't trigger updates.

Is there a way to cache data in Dash?

Yes, you can use the dcc.Store component to cache data in the browser or implement server-side caching with Flask-Caching.

How can I reduce the data size for my app?

You can reduce data size by filtering unnecessary data, using data aggregation, or implementing pagination for large datasets.