Table of contents

Baserow is an open-source online database tool. Users can use this no-code platform to create a database without any technical experience. It lowers the barriers to app creation so that anyone who can work with a spreadsheet can also create a database. The interface looks a lot like a spreadsheet. Our goal is to provide a perfect and fast user experience while keeping it easy for developers to write plugins and maintain the codebase. The developer documentation contains several topics you might need as a developer.

Getting started

New to Baserow? This is the place to start.

• Introduction: An introduction to some important concepts before using Baserow.
• API: An introduction to the REST API and information about API resources.
• Database plugin An introduction to the database plugin which is installed by default.

Guides

Need some help with setting things up?

• Local demo: Run a local demo on your computer using docker-compose.
• Install on Ubuntu: A step by step guide on how to install Baserow on an Ubuntu server.

Development

Everything related to contributing and developing for Baserow.

• Development environment: Setting up your local development environment using docker-compose.
• Directory structure: The structure of all the directories in the Baserow repository explained.
• Tools: The tools (flake8, pytest, eslint, etc) and how to use them.
• Code quality: More information about the the code style, quality, choices we made, and how we enforce them.

Plugins

Everything related to custom plugin development.

• Plugin basics: An introduction into Baserow plugins.
• Plugin boilerplate: Don’t reinvent the wheel, use the boilerplate for quick plugin development.
• Create application: Want to create an application type? Learn how to do that here.
• Create database table view: Display table data like a calendar, Kanban board or however you like by creating a view type.
• Create database table view filter: Filter the rows of a view with custom conditions.
• Create database table field: You can store data in a custom format by creating a field type.
• Creata a field converter: Converters alter a field and convert the related data for specific field changes.