Build your first app

Learn the fundamentals of building with Toolpad Studio by creating a small application.

This guide will walk you through the process of creating a small Toolpad Studio application. You'll use the MUI X Data Grid component to display a list of dog breeds from the Dog API. When you click on the name of a breed, a random photo of the breed will be displayed using the Material UI Image component.

Purpose

This guide is intended to introduce you to the fundamentals of building with Toolpad Studio. By the end, you should be able to:

• set up a new Toolpad Studio app
• navigate through your workspace
• design a page and connect its data

Prerequisites

Make sure to install Node.js on your system.

Building your first application

Create a new app

1. Create a new application

   npx create-toolpad-app dog-app
   

   (or $keyC)

2. Start the development server

   cd dog-app
   npm run dev
   

   (or $keyC)

   The Toolpad Studio application editor opens automatically in your browser.

Assemble the UI

1. Hover over the component library and drag a Data Grid component into the canvas. Now repeat the process and drag an Image component as well. When you're done, the canvas should look like this:

Fetch data

1. Locate the + (create new) button in the queries explorer. Press it and choose REST API.

2. We'll be using the dog API for this tutorial. Set

   https://dog.ceo/api/breeds/list/all
   

   (or $keyC)

   as the URL. Click the Run button to inspect the result of this request, and expand the message object in the response. If all went well, it will look like this:

3. To transform the response according to our needs, we choose the Transform tab and enable the Transform response option. Write the JavaScript expression:

   return Object.entries(data.message);
   

   (or $keyC)

   in the editor. Click Run again to verify the result.

5. Click on Save to save the query, and then rename it to dogQuery by double clicking on it in the explorer.

Bind data to UI

1. Next, we will bind this data to components on the page. Click the Data Grid component to select it.

2. Find the rows property in the inspector. Notice that there's a small Bind button to its right. Properties with this button next to them can be bound to state available on the page:

3. Click the button to open the binding editor. On the left you'll see a list of all bindable state in the page and on the right there's a code editor that accepts any JavaScript expression.

4. Use the dogQuery available in the scope as a binding expression.

   dogQuery.data;
   

   (or $keyC)

   save the binding and close the binding editor.

5. If all went well, the Data Grid will now display the data from our query:

Make the app interactive

1. Now, we can make this app interactive by displaying a random image of the selected breed. We'll create another query which reacts to the selection inside the Data Grid component.

2. Create another query of the REST API type and add a breed parameter in the Parameters section on the right:

2. Click on the Bind button next to the breed parameter value, and add the following JavaScript expression in the binding editor:

   dataGrid.selection?.[0] ?? 'akita'
   

   (or $keyC)

   This will use the selected value from the Data Grid, and default to the "akita" breed when no row has been selected.

3. Then bind the query URL to the following JavaScript expression:

   `https://dog.ceo/api/breed/${parameters.breed}/images/random`
   

   (or $keyC)

4. Save the binding and close the binding editor. Save the query and exit the query editor.

5. Rename the query to imageQuery by double clicking on it in the queries explorer.

6. In the canvas select the Image component to view its properties in the inspector. Click on the Bind button next to the src prop to open the binding editor, and bind it to imageQuery.data.message.

6. Try selecting different rows in the data grid to see the image update to a random image of the selected breed.

Preview the app

1. Click on the Preview button to see a preview of what your app will look like when deployed:

2. That's it! Feel free to browse through the rest of the documentation to know more about what you can do with Toolpad Studio.