I built a ChatGPT plugin to answer questions about data hosted in Datasette describes a new experimental Datasette plugin to enable people to query data hosted in a Datasette interface via ChatGPT, asking human language questions that are automatically converted to SQL and used to generate a readable response.

Using Datasette in GitHub Codespaces is a new tutorial showing how Datasette can be run in GitHub's free Codespaces browser-based development environments, using the new datasette-codespaces plugin.

Examples of sites built using Datasette now includes screenshots of Datasette deployments that illustrate a variety of problems that can be addressed using Datasette and its plugins.

Semantic search answers: Q&A against documentation with GPT3 + OpenAI embeddings shows how Datasette can be used to implement semantic search and build a system for answering questions against an existing corpus of text, using two new plugins: datasette-openai and datasette-faiss, and a new tool: openai-to-sqlite.

Datasette 0.64 is out, and includes a strong warning against running SpatiaLite in production without disabling arbitrary SQL queries, plus a new --setting default_allow_sql off setting to make it easier to do that. See Datasette 0.64, with a warning about SpatiaLite for more about this release. A new tutorial, Building a location to time zone API with SpatiaLite, describes how to safely use SpatiaLite and Datasette to build and deploy an API for looking up time zones for a latitude/longitude location.

Datasette 1.0a2: Upserts and finely grained permissions describes the new upsert API and much improved permissions capabilities introduced in the latest Datasette 1.0a2 alpha release.

Datasette’s new JSON write API: The first alpha of Datasette 1.0 introduces the new write API shipped in the first of the Datasette 1.0 alpha series of releases, including detailed descriptions of two demos that show how the API can be used.

Datasette 0.63 is out. Here are the annotated release notes.

Exploring the training data behind Stable Diffusion describes the process of building and deploying a 4GB searchable SQLite database using Datasette, starting with Parquet data that was used to train the Stable Diffusion image generation model. See also Exploring 12 Million of the 2.3 Billion Images Used to Train Stable Diffusion’s Image Generator.

Analyzing ScotRail audio announcements with Datasette—from prototype to production provides a detailed walk-through of the process of constructing an initial rapid prototype using Datasette Lite, extending it with a custom plugin and then deploying it as a full Datasette instance using GitHub Actions and Vercel.

Datasette 0.62 introduces compatibility with Pyodide for Datasette Lite, and incorporates a number of bug fixes, plugin hook upgrades and other improvements.

New tutorial and accompanying ten minute video: Cleaning data with sqlite-utils and Datasette.

s3-ocr is a new tool which can run OCR (via Amazon Textract) against every PDF file in an S3 bucket and write the results to a searchable SQLite database, ready to use with Datasette. Read more about it in s3-ocr: Extract text from PDF files stored in an S3 bucket.

Datasette Lite is a new way to run Datasette: entirely in your browser, thanks to the Pyodide project which provides a full Python environment compiled to WebAssembly. You can use it to explore any SQLite database file hosted on a CORS-enabled static hosting provider, which includes GitHub and GitHub Pages. Read more about this project in Datasette Lite: a server-side Python web application running in a browser.

Datasette for geospatial analysis describes how Datasette can be used in conjunction with SpatiaLite to work with geospatial data, including details of several geospatial plugins and tools from the Datasette ecosystem.

• Initial release. Install this plugin to expose the first database in your Datasette instance as a ChatGPT plugin, provided you have preview access to that feature. #1

• The path used by for the GraphQL API - which defaults to /graphql - can now be customized using the new datasette-graphql path configuration option in metadata.json. #92

• <br> tag is now allowed in atom_content_html. #16

• Fixed a bug where passing null to the functions would cause them to return an error. #2

• Initial working version. apple-notes-to-sqlite notes.db dumps your notes out to a SQLite database. #2
• apple-notes-to-sqlite --dump outputs them to standard output as newline-delimited JSON. #3

• Updated to work with recent versions of Jinja. #4

• Fixed a bug with datasette publish cloudrun where deploys all used the same Docker image tag. This was mostly inconsequential as the service is deployed as soon as the image has been pushed to the registry, but could result in the incorrect image being deployed if two different deploys for two separate services ran at exactly the same time. #2036

Make the UI less daunting by hiding all tables except dss_crawl, and improving links from dss_crawl to dss_job, #51

Fix crawl status page when dss database is not the primary database (#49)

• Initial implementation: html_strip_tags(text), html_escape(text) and html_unescape(text) SQL functions. #1

Support installing datasette-scraper into a database with pre-existing tables (#48)

• Fixed errors launching initial application. #153

• README now links to new tutorial on Using Datasette in GitHub Codespaces.