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Dropbase helps you build and prototype web apps faster with AI. Developers can quickly build anything from admin panels, back-office tools, billing dashboards, and internal engineering tools that can fetch data and trigger action across any internal or external service.

Existing low-code/no code tools lack flexibility, confine devs to building app logic by filling up UI forms, and have big learning curves. Dropbase uses AI to generate app code that you can verify and/or edit. We combine the convenience of a drag-and-drop app builder with the flexibility of code, making it easy to build and customize, while learning to use the product as you see how the AI generates code using the Dropbase web framework.

1. Write any custom business logic with code.
2. Built-in web framework with pre-built UI components - no need to hassle with frontend libraries/code.
3. Local-first, self-hosted. No creds are shared with us.
4. Dropbase lives in your codebase, making it easy to import or resuse custom scripts/libraries.
5. It's built on Python and you can import any PyPI package.

• Install Docker. We strongly recommend using Docker Desktop, especially if you're on Apple M chips. Alternatively, you can install docker and docker-compose.

Clone the Dropbase repository

git clone https://github.com/DropbaseHQ/dropbase.git

Start the server by running start.sh

NOTE: When starting the server for the first time, make start.sh executable.

chmod +x start.sh

You can start the server by running

./start.sh

Go to the Dropbase App https://localhost:3030/apps from your browser and click on the Create app button to create your first Dropbase app.

Dropbase uses LLM (gpt, sonnet) to provide AI Developer feature. To enable it, add your OpenAI or Anthropic api key into server.toml. Example:

[llm.openai]
api_key = "YOUR_API_KEY"
model = "gpt-4o"

IMPORTANT: If you add additional environmental variables, make sure to add them before LLM configurations (at the top-level table), since LLM configurations are defined as table

worker.toml contains environmental variables for the worker. This includes database sources, API keys, or access token to third party services.

To include API keys or tokens, add a name for the token and enter your string token. Though not required, adding a descriptive name helps Dropbase AI infer the key to use.

stripe_key="rk_test_123"
mailgun_api_key="abc123"

To include database sources, use the following format: database.database_type.database_nickname

For example, if you want to add a postgres database to a list of sources and use my_source as its nickname, add the following:

[database.postgres.my_source]
host = "localhost"
database = "postgres"
username = "username"
password = "password"
port = 5432

NOTE: The built-in demo requires database.sqlite.demo to be present in worker.toml.