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Dropbase helps you build custom internal software faster with AI. Developers can quickly build anything from admin panels, 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

In Dropbase root directory, create server.toml and worker.toml files:

server.toml contains environmental variables for the server

host_path = ""

[llm.openai]
api_key = ""
model = ""

Required variables include:

• host_path - absolute path to your working directory w/o trailing slash e.g. "/Users/zhakhan/dev/dropbase"
• [llm.openai] or [llm.anthropic] - OpenAI or Anthropic configuration. Required to use Dropbase AI Dev
  • api_key - OpenAI or Anthropic API key
  • model - the name of the model you want to use. If you don't provide a model name, it will default to gpt-4o for OpenAI and claude-3-5-sonnet-20240620 for Anthropic.

Other optional variables include:

• host_mounts - list of paths to directories you want to mount to the worker. Use it to bring in custom scripts or directories
• redis_host - redis server's host address. Default is "redis"
• task_timeout - number of seconds before worker task times out. Default is 300 seconds

| IMPORTANT: if you add optional variables, make sure to add them before LLM configuration (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

A demo sqlite database is included in the files directory, so you can use it out of the the box by adding the following to your worker.toml.

[database.sqlite.demo]
host = "files/demo.db"

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

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