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.

Datasette 0.61 introduces two potentially backwards-incompatible changes in preparation for the forthcoming 1.0 release: hashed URL mode has been moved to a new plugin, and the way URLs are generated to tables or databases containing special characters such as . or / has changed. Datasette 0.61.1 fixes a small bug in that release. See also the annotated release notes for these two versions.

The first two of an ongoing series of official Datasette tutorials are now available: Exploring a database with Datasette introduces the Datasette web interface and shows how it can be used to explore a new database, and Learn SQL with Datasette provides an introduction to SQL using Datasette as a learning environment.

• Fixed a bug where [Links containing & characters](...) were rendered with the ampersand double-escaped as &. #13

• Initial release. Turns YouTube video URLs into embedded video players. #1

• feature: generic support for extracting json+ld data
• feature: specific support for extracting json+ld Product data
• feature: add discover-allow to specify an allowlist of patterns to crawl
• enhancement: seed-sitemaps only activates for seeds that are at the top-level of the domain
• enhancement: extract_from_response can delete existing entries
• enhancement: extract_from_response can add indexed entries with @ sigil
• enhancement: extract_from_response skips doing writes that wouldn't change the database
• enhancement: prune pages that exceed max depth/max page limit earlier

• New faiss_agg() and faiss_agg_with_scores() aggregate functions. #3

• First stable release.
• Semantic search answers: Q&A against documentation with GPT3 + OpenAI embeddings provides a live demo and explanation of this project.
• openai_build_prompt() function is now documented. #4

• openai-to-sqlite embeddings command can read JSON, CSV or TSV from a file or from standard input and fetch and store embeddings for that data. #1
• openai-to-sqlite embeddings --sql command can read the data to be embedded from a SQL query. #2
• Data is now sent to the OpenAI API in batches, defaulting to 100 and with a size that can be specified using --batch-size up to 2048. #5

• Fix for a cookie parsing bug. #3

• Returns more detailed error messages if a completion fails. #6
• openai_strip_tags() function. #5
• openai_tokenize() and openai_count_tokens() functions. #7
• A not-yet-documented openai_build_prompt() aggregate function. #4

• Fixed bug where duplicate mentions of the same parameter name resulted in duplicate form fields. #2

• Initial release. Adds a form to any canned query that uses :_cookie_x parameters allowing the user to set that cookie. #1

• Fixed bug where the item table did not correctly link to the commits using a foreign key. #59
• Fixed bug where some repositories would not process correctly due to data from older versions not being successfully loaded from the commit history. #64

• Documentation now links to a current source of information for installing Python 3. (#1987)
• Incorrectly calling the Datasette constructor using Datasette("path/to/data.db") instead of Datasette(["path/to/data.db"]) now returns a useful error message. (#1985)

• Initial release. #1

• Initial release.

• Calls to GPT-3 now have a 15s timeout, increased from 5s.