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Annotated version of this introductory video

Datasette is a tool for exploring and publishing data. It helps people take data of any shape, analyze and explore it, and publish it as an interactive website and accompanying API.

Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with the world. It is part of a wider ecosystem of 46 tools and 156 plugins dedicated to making working with structured data as productive as possible.

Try a demo and explore 33,000 power plants around the world, then follow the tutorial or take a look at some other examples of Datasette in action.

Then read how to get started with Datasette, subscribe to the monthly-ish newsletter and consider signing up for office hours for an in-person conversation about the project.

New: Datasette Desktop - a macOS desktop application for easily running Datasette on your own computer!

Exploratory data analysis

Import data from CSVs, JSON, database connections and more. Datasette will automatically show you patterns in your data and help you share your findings with your colleagues.

Instant data publishing

datasette publish lets you instantly publish your data to hosting providers like Google Cloud Run, Heroku or Vercel.

Rapid prototyping

Spin up a JSON API for any data in minutes. Use it to prototype and prove your ideas without building a custom backend.

Latest news

18th February 2024 #

Datasette 1.0a10 is a focused alpha that changes some internal details about how Datasette handles transactions. The datasette.execute_write_fn() internal method now wraps the function in a database transaction unless you pass transaction=False.

16th February 2024 #

Datasette 1.0a9 adds basic alter table support to the JSON API, tweaks how permissions works and introduces some new plugin debugging utilities.

7th February 2024 #

Datasette 1.0a8 introduces several new plugin hooks, a JavaScript plugin system and moves plugin configuration from metadata.yaml to datasette.yaml. Read more about the release in the annotated release notes for 1.0a8.

1st December 2023 #

Datasette Enrichments is a new feature for Datasette that supports enriching data by running custom code against every selected row in a table. Read Datasette Enrichments: a new plugin framework for augmenting your data for more details, plus a video demo of enrichments for geocoding addresses and processing text and images using GPT-4.

30th November 2023 #

datasette-comments is a new plugin by Alex Garcia which adds collaborative commenting to Datasette. Alex built the plugin for Datasette Cloud, but it's also available as an open source package for people who are hosting their own Datasette instances. See Annotate and explore your data with datasette-comments on the Datasette Cloud blog for more details.

22nd August 2023 #

Datasette 1.0a4 has a fix for a security vulnerability in the Datasette 1.0 alpha series: the API explorer interface exposed the names of private databases and tables in public instances that were protected by a plugin such as datasette-auth-passwords, though not the actual content of those tables. See the security advisory for more details and workarounds for if you can't upgrade immediately. The latest edition of the Datasette Newsletter also talks about this issue.

15th August 2023 #

datasette-write-ui: a Datasette plugin for editing, inserting, and deleting rows introduces a new plugin adding add/edit/delete functionality to Datasette, developed by Alex Garcia. Alex built this for Datasette Cloud, and this post is the first announcement made on the new Datasette Cloud blog - see also Welcome to Datasette Cloud.

9th August 2023 #

Datasette 1.0a3 is an alpha release of Datasette that previews the new default JSON API design that’s coming in version 1.0 - the single most significant change planned for that 1.0 release.

1st July 2023 #

New tutorial: Data analysis with SQLite and Python. This tutorial, originally presented at PyCon 2023, includes a 2h45m video and an extensive handout that should be useful with or without the video. Topics covered include Python's sqlite3 module, sqlite-utils, Datasette, Datasette Lite, advanced SQL patterns and more.

24th March 2023 #

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.

23rd February 2023 #

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.

28th January 2023 #

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.

13th January 2023 #

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.

9th January 2023 #

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.

15th December 2022 #

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.

All news

Latest releases

17th April 2024

openai-to-sqlite 0.4.2 - Save OpenAI API results to a SQLite database

  • Disable timeout on HTTPX requests to allow for slow responses. #17

openai-to-sqlite 0.4.1

  • Documentation updates.

16th April 2024

datasette-query-assistant 0.1a2 - Query databases and tables with AI assistance

  • Queries that produce invalid SQL should now correctly retry up to 3 times. #10
  • Fix for bug with POST requests. #9

datasette-query-assistant 0.1a1

  • Fix for a bug where tables with no related tables would throw an error. #9

datasette-query-assistant 0.1a0

  • Initial alpha release. #1

12th April 2024

datasette-cors 1.0.1 - Datasette plugin for configuring CORS headers

  • Upgrade to asgi_cors>=1.0.1 to address a bug that could cause duplicate CORS headers. #13

10th April 2024

datasette-enrichments-gpt 0.4 - Datasette enrichment for analyzing row data using OpenAI's GPT models

  • Now uses the newly released gpt-4-turbo model, which also handles image inputs. #8

9th April 2024

datasette-public 0.2.3 - Make specific Datasette tables visible to the public

  • Added description to menu items for Datasette 1.0. #7

datasette-enrichments 0.3.2 - Tools for running enrichments against data stored in Datasette

  • Handle case where no enrichments plugins are installed. #43
  • Added description to the menu items.

datasette-extract 0.1a4 - Import unstructured data (text and images) into structured tables

  • This plugin now uses the general availability gpt-4-turbo model, which adds structured function support to GPT-4 Vision. #19
  • If an error occurs during an extraction operation it is now displayed on the progress page. #10
  • Table and database action menu items now have better copy. #20

8th April 2024

datasette-cors 1.0 - Datasette plugin for configuring CORS headers

  • headers option for setting access-control-allow-headers. #5
  • methods option for setting access-control-allow-methods.
  • max_age option for setting access-control-max-age.
  • Now tested against Datasette 1.0 as well as Datasette <1.0.

datasette-embeddings 0.1a3 - Store and query embedding vectors in Datasette tables

This alpha changes the way embedding vectors are stored. Previously they were stored on the table itself, as columns with names like emb_text_embedding_3_large_256. #3

They are now instead stored in a separate table, with the name _embeddings_TABLE where TABLE is the name of the original table.

If you have previously calculated embedding vectors stored in columns on an existing table, you can migrate them to the new table structure by following these steps: #11

  1. Create a new shadow table to store your embeddings. This table should have the name _embeddings_TABLE where TABLE is the name of your source table, and the same primary key (or compound primary keys). It should then have a emb_xxx column for each stored embedding vector.

    One way to create this table is to select a single row and embed just that - this will create the table for you while only costing you one embedding run. 2. Run the following SQL query to copy across your vectors:

    sql insert or replace into _embeddings_TABLE (id, emb_xxx) select id, emb_xxx from TABLE where emb_xxx is not null 3. Drop the old column: alter table TABLE drop column emb_xxx

6th April 2024

datasette-import 0.1a4 - Tools for importing data into Datasette

5th April 2024

datasette-enrichments-quickjs 0.1a2 - Enrich data with a custom JavaScript function

  • JavaScript functions can now return an object of key/value pairs, and columns will be created for each of those returned values. #5

s3-credentials 0.16.1 - A tool for creating credentials for accessing S3 buckets

All releases