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Getting Started

Use Supabase with SvelteKit

Learn how to create a Supabase project, add some sample data to your database, and query the data from a SvelteKit app.

1. Create a Supabase project#

To start, you need a Supabase project.

Create a new Supabase project from the Dashboard of any organization you belong to.

2. Set up your database#

When your Supabase project is up and running, create an instruments table with some sample data. Then set only the privileges each Postgres role needs, add Row Level Security (RLS) for enhanced security for database data by default, and create an RLS policy to make the data in the table publicly readable.

Do these steps within your project's dashboard by copying and running the snippet in your project's SQL Editor.

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-- Create the table
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create table instruments (
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id bigint primary key generated always as identity,
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name text not null
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);
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-- Insert sample data into the table
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insert into instruments (name)
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values
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('violin'),
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('viola'),
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('cello');
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-- Grant the privileges the role needs, which is read access
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grant select on public.instruments to anon;
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-- Enable row level security for the table
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alter table instruments enable row level security;
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-- Create a policy to allow the anon role to read from the instruments table
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create policy "public can read instruments"
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on public.instruments
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for select to anon
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using (true);

3. Create a SvelteKit app#

Create a SvelteKit app using the npm create command.

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npx sv create my-app

4. Install Agent Skills (optional)#

Supabase's Agent Skills is a curated set of instructions that give your AI agent procedural knowledge about working with Supabase.

To install, run the following command in the root of your project:

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npx skills add supabase/agent-skills

5. Install the Supabase client library#

The fastest way to get started is to use the supabase-js client library which provides a convenient interface for working with Supabase from a SvelteKit app.

Navigate to the SvelteKit app and install supabase-js.

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cd my-app && npm install @supabase/supabase-js

6. Declare Supabase environment variables#

Create a .env file at the root of your project and populate with your Supabase connection variables that you can get from the helper below, or from the project Connect panel:

Open Connect panel

.env
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PUBLIC_SUPABASE_URL=<SUBSTITUTE_SUPABASE_URL>
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PUBLIC_SUPABASE_PUBLISHABLE_KEY=<SUBSTITUTE_SUPABASE_PUBLISHABLE_KEY>

Get API details#

To interact with data in database tables, you use the client libraries that wrap the auto-generated Data API endpoints, authenticating using the Project URL and key from the project Connect dialog.

Project URL
Publishable key

7. Create the Supabase client#

Create a src/lib directory in your SvelteKit app, create a file called supabaseClient.js and add the following code to initialize the Supabase client:

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import { createClient } from '@supabase/supabase-js'
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import { PUBLIC_SUPABASE_PUBLISHABLE_KEY, PUBLIC_SUPABASE_URL } from '$env/static/public'
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export const supabase = createClient(PUBLIC_SUPABASE_URL, PUBLIC_SUPABASE_PUBLISHABLE_KEY)

8. Query data from the app#

Use load method to fetch the data server-side and display the query results as a list.

Create +page.server.js file in the src/routes directory with the following code.

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import { supabase } from '$lib/supabaseClient'
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export async function load() {
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const { data } = await supabase.from('instruments').select()
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return {
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instruments: data ?? [],
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}
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}

Replace the existing content in your +page.svelte file in the src/routes directory with the following code.

src/routes/+page.svelte
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<script>
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let { data } = $props();
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</script>
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<ul>
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{#each data.instruments as instrument}
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<li>{instrument.name}</li>
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{/each}
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</ul>

9. Start the app#

Start the app and go to http://localhost:5173 in a browser and you should see the list of instruments.

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npm run dev

Next steps#