Clean data, with well defined columns and rows, is a beautiful thing - the ideal starting point for any data analysis or visualization project. Sadly, very little of the world's interesting data is published in a structured format that we can start using straight away. datasette-extract is a new tool for Datasette that uses GPT-4 Turbo to create and populate database tables using data extracted from unstructured text and images.
datasette-plot is a new Datasette plugin for making visualizations from tables and SQL queries inside of Datasette. It's a spiritual successor of datasette-vega, with the goal of supporting more data visualization types and better integration with new Datasette features. Try out the demo, or install it on your Datasette instances today!
datasette-comments is a new Datasette plugin for collaborative discussions on your Datasette. You can leave comments on specific rows of your SQLite tables, @mention your collaborators and coworkers, track your work with hashtags, and more. Check out our demo read-only instance, and try it out today with Datasette Cloud or self-host it yourself!
Your team's space on Datasette Cloud includes a comprehensive JSON API. This can be used to both read and write data to your private databases. In this tutorial learn how to use Python to import data from the Federal Register into a Datasette Cloud space, and how to run that code on a schedule using GitHub Actions.
datasette-litestream is a new Datasette plugin that simplifies backing up your SQLite databases, using Litestream. Instead of manually installing, configuring, and running Litestream as a separate process, datasette-litestream will instead automatically replicate your Datasette databases to the S3 bucket of your choosing, with just a few extra lines of code in your Datasette configuration files.
