datasette-plugin-writer

To build and publish a Datasette plugin, use a cookiecutter template for initial scaffolding, implement core hooks like prepare_connection and register_routes, write tests, then publish the package to GitHub and PyPI.

Essential Datasette plugin hooks include prepare_connection, register_routes, render_cell, extra_template_vars, table_actions, actor_from_request, and permission_allowed for extending database queries, routing, and authentication.

Yes, you can use cookiecutter to scaffold a new Datasette plugin project. It provides standardized project naming and initial directory structure to quickly bootstrap your development workflow.

The best way to test and configure Datasette plugins involves using dedicated testing strategies alongside APIs for plugin configuration, allowing you to validate Request/Response handling and database access patterns.

Yes, Datasette plugin development supports custom authentication and permissions through the actor_from_request and permission_allowed hooks, enabling you to manage user access control and request validation.

To add static assets and custom templates to a Datasette plugin, utilize the integration patterns provided for static assets and templates, which allow you to inject custom HTML, CSS, and JavaScript into the Datasette instance.