No longer maintained

Latitude embedded analytics is no longer maintained as we've switched our focus to Latitude LLM. License is maintained so you are still free to use this project as it is. New maintainers are welcome.

The open-source framework for embedded analytics

The missing analytics layer between your database and your users.

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🌈 Why Latitude?

Latitude lets you create API endpoints on top of your database/warehouse using just SQL, and embed interactive visualizations natively in your favorite frontend framework or through an iframe.

It's fast to get started, easy to maintain, and scales with your data.

✨ Features

• ☁️ Connect to any database or data warehouse

• 📊 Easily compose parameterized SQL queries and expose them as API endpoints

• 📦 Built-in cache layer for lightning-fast query performance

• 🛠 Integrations with all common frontend frameworks (React, Svelte, Vue, VanilaJS)

• 🎨 Optional layout engine to build standalone dashboards using Svelte and Tailwind

• 🖥️ Support for embedding dashboards via iframe

• 🌎 Deploy with a single command latitude deploy

• 🔒 SSL-ready, encrypted parameters in url and parameterized queries to protect against SQL injection attacks

• 👥 Open-source driven by the community

💫 Examples

You can find sample projects using Latitude in action in the examples directory.

📚 Table Of Contents

• Quick start

• Connect to your data sources

• Write your SQL queries

• Native frontend integration

  • Integrate with your frontend

• Layout engine and iframe embedding

  • Use our layout engine
  • Embedding a standalone dashboard

• Deploy

• Community

• Contributing

• Links

⚡ Quick start

Here’s a quick getting started guide to get the sample app up and running:

1. Install Latitude

Run the following command to install the Latitude CLI globally on your machine:

npm install -g @latitude-data/cli

Note that if you're using Windows, you might need to follow these instructions first: Windows setup.

2. Create the starter project

Run this command to create a new Latitude project:

latitude start

The CLI will ask you the project name. Once you’re done, you’ll have a new directory with a sample app that you can run and customize.

3. Navigate to the project and run the app

cd my-new-app

latitude dev

This will start the development server and open the sample app in your browser.

🔗 Connect to your data sources

Set up the connection to your database or data warehouse through a simple configuration file.

type: postgres
details:
  database: db
  user: username
  password: ••••••••••••••••
  host: postgres.example.com
  port: 5432
  schema: public
  ssl: true

We do not recommend to store your database credentials in the configuration file. Instead, you can use environment variables to store your credentials securely. Find out more about this in the documentation.

We support the following sources:

• Athena
• BigQuery
• Clickhouse
• Databricks
• DuckDB
• MS SQL
• MySQL
• PostgreSQL
• Redshift
• Snowflake
• SQLite
• Trino

Find out more about connecting to sources in the documentation.

🧑‍💻 Write your SQL queries

Latitude makes it easy to fetch data from your database and expose it via an API endpoint in JSON format so that it can be easily consumed by your frontend application.

You can use parameters in your SQL queries to filter data based on external inputs. For example, you can create a query that fetches movies released between two years:

/queries/titles.sql

select id,
       title,
       release_year,
       type,
       runtime,
       imdb_score
from titles
where release_year between { param('start_year') } and { param('end_year') }

Additionally, you can reference other queries in your SQL to create composable data pipelines. For example, this is a query that uses the results of the previous one to display the count of titles released each year:

/queries/titles-agg.sql

select
  release_year,
  count(*) as total_titles,
from { ref('titles') }
group by 1
order by 1 asc

Automatic API endpoints

Latitude will automatically expose these queries as API endpoints that you can fetch from your frontend application.

To use these endpoints with parameters, you can pass them in the URL. For example, to fetch movies released between 2000 and 2020, you can do:

curl http://localhost:3000/titles?start_year=2000&end_year=2020

⌨️ Native frontend integration

Integrate with your frontend

Use our React components to fetch data from your API and display it in your application.

npm install @latitude-data/react

Once the React package is installed in your project, add the LatitudeProvider:

import React from 'react';
import ReactDOM from 'react-dom/client';
import { LatitudeProvider } from '@latitude-data/react';

ReactDOM.createRoot(document.getElementById('root')!).render(
  <React.StrictMode>
    <LatitudeProvider
      apiConfig={{ host: 'https://localhost:3000' }}
    >
      <Example />
    </LatitudeProvider>
  </React.StrictMode>,
);

You can fetch data from your Latitude data server with the useQuery hook:

import { useQuery } from '@latitude-data/react';
import { useCallback } from 'react';

export default function Example() {
  const { data: movies, isFetching, compute } = useQuery({
    queryPath: 'titles',
    params: {
      start_year: '2000',
      end_year: '2020',
    },
  });

  const caption = isFetching ? 'Loading movies...' : 'List of movies';
  const refresh = useCallback(() => compute(), [compute]);

  return (2
    <div className='p-4 flex flex-col gap-y-4'>
      <h1 className='text-4xl font-medium'>React Example with Latitude</h1>
      <Button onClick={refresh}>Refresh</Button>

      <Table>
        {!isFetching ? <MovieList movies={movies!} /> : <MovieListSkeleton />}
        <TableCaption>{caption}</TableCaption>
      </Table>
    </div>
  );
}

🖥️ Layout engine and iframe embedding

Use our layout engine

If you want to build standalone dashboards, you can use our layout engine to create a dashboard with multiple visualizations.

To do so, simply create an index.html file under the views directory with the following content:

/views/index.html

<View class='gap-8 p-8'>
  <Row>
    <Text.H2 class='font-bold'>Netflix titles released over time</Text.H2>
  </Row>
  <Row>
    <LineChart query='titles-agg' x='release_year' y='total_titles' />
  </Row>
  <Row>
    <Table query='titles' />
  </Row>
</View>

This will create a dashboard with a line chart and a table displaying the data fetched from the titles and titles-agg queries.

This dashboard can be accessed by navigating to http://localhost:3000/.

To pass parameters to the queries, add them to the URL as query parameters. For example: http://localhost:3000/?start_year=2000&end_year=2020.

Another option is to use our <Input> component to create a form that allows users to input parameters. Find out more about this in the documentation.

Embedding a standalone dashboard

You can embed the dashboard in your application using an iframe. To do so, simply add the following code to your application:

<iframe
  src="http://localhost:3000/queries?start_year=2000&end_year=2020"
  width="100%"
  height="600"
/>

If you're using React, we released a React component that simplifies the process of embedding dashboards in your application. Check out the documentation to learn more.

🌍 Deploy

To deploy your Latitude project, run the following command:

latitude deploy

This will deploy your project to the Latitude cloud, and you will get a URL where your project is hosted.

If it's your first time deploying, make sure to log in or sign up to Latitude by running latitude login or latitude signup respectively.

You can also deploy your project to your own infrastructure. Find out more about this in the documentation.

👥 Community

The Latitude community can be found on Slack where you can ask questions, voice ideas, and share your projects with other people.

🤝 Contributing

Contributions to Latitude are welcome and highly appreciated.

If you are interested in contributing, please join us on our Slack community, open an issue, or contribute a pull request.

🔗 Links

• Home page
• Documentation
• Slack community
• X / Twitter