Before After Image in Plotly Dash

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πŸ’‘ This article will show you how to use the BeforeAfter image component in your Plotly Dash project.

Dash book author Ann just created the following stunning web project visualizing before/after galaxy images from the James Webb Space Telescope in a simple and straightforward Dash app using the BeforeAfter component of the dash-extensions library.

pip install dash-extensions

Before we dive into the code, here’s a screenshot of the stunning interactive dashboard visualization created in the project:

Feel free to visit the live app showing different exciting images from the Hubble and Webb telescopes here:

🌎 Interactive Live App:

It’s fun to play with it for 5-minutes—the pics from the Universe are stunning! 🐍

You can find the source code here:

πŸ’» Full Source Code:

The code to produce this easy app can be packed in only ~40 lines Python!

I highlighted the necessary code to create the BeforeAfter component from the dash-extensions package:

from dash import Dash, html
from dash_extensions import BeforeAfter
import dash_mantine_components as dmc

app = Dash(__name__)

header = html.Div(
        dmc.Title("James Webb Space Telescope", order=1),
        dmc.Text("First Images -- Before and After -- Hubble vs Webb"),

def make_before_after(before, after):
    return html.Div(
                [dmc.Text("Hubble"), dmc.Text("Webb")],
                style={"width": 1000},
            BeforeAfter(before=before, after=after, height=800, width=1000),

tabs = dmc.Tabs(
        dmc.Tab(make_before_after("/assets/webb_deep_field.jpg", "/assets/deep_field.jpg"), label="Galaxy Cluster SMACS 0723"),
        dmc.Tab(make_before_after("/assets/webb_stephans_quintet.jpg", "/assets/stephans_quintet.jpg"), label="Stephans Quintet"),
        dmc.Tab(make_before_after("assets/webb_carina.jpg", "/assets/carina.png"), label="Carina Nebula"),
        dmc.Tab(make_before_after("assets/webb_southern_nebula.jpg", "assets/southern_nebula.jpg"), label="Southern Ring Nebula"),

app.layout = dmc.MantineProvider(
    dmc.Container([header, tabs]), theme={"colorScheme": "dark"}, withGlobalStyles=True

if __name__ == "__main__":

It makes use of the BeforeAfter component and the dash_mantine_components from Plotly Dash.

Adam’s video greatly explains the Before After Image Slider — feel free to watch it and leave a like in the video for his effort educating the Dash community for free with outstanding content:

Before After Image Slider - Dash Component

You can find a tutorial on how to install dash here.

You can find our full book on Python Dash here:

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