https://datasette.io
Datasette: An open source multi-tool for exploring and publishing data
Datasette: An open source multi-tool for exploring and publishing data Uses Documentation Docs Tutorials Examples Plugins Tools News Find stories in data 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 158 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 5th August 2024 # Datasette 1.0a14 includes some breaking changes to how metadata works for plugins, described in detail in the new upgrade guide. See also the annotated release notes that accompany this release. 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. All news Latest releases 27th September 2024 shot-scraper 1.5 - A command-line utility for taking automated screenshots of websites Several new features for the YAML configuration used by shot-scraper multi: You can now add a - server: python -m http.server 8003 block to start a server running before screenshots are taken. The PID for this server will be recorded and the server automatically terminated when the command completes, unless you specify the --leave-server option in which case it will be left running, useful for debugging. #156 The sh: shell command or python: python code blocks can specify Python or shell commands to run before a screenshot is taken. This means a YAML script can make modifications to the environment in between screenshots, useful for things like progressive tutorials. #155 Fixed a bug that occurred if a max-width was accidentally applied to the
used for region screenshots. Thanks, Johann Klähn. #143 Documented that shot-scraper will quit with an error if a --wait-for expression has not resolved in 30s. 12th September 2024 llm 0.16 - A CLI utility and Python library for interacting with Large Language Models, including OpenAI, PaLM and local models installed on your own machine. OpenAI models now use the internal self.get_key() mechanism, which means they can be used from Python code in a way that will pick up keys that have been configured using llm keys set or the OPENAI_API_KEY environment variable. #552. This code now works correctly: python import llm print(llm.get_model("gpt-4o-mini").prompt("hi")) New documented API methods: llm.get_default_model(), llm.set_default_model(alias), llm.get_default_embedding_model(alias), llm.set_default_embedding_model(). #553 Support for OpenAI's new o1 family of preview models, llm -m o1-preview "prompt" and llm -m o1-mini "prompt". These models are currently only available to tier 5 OpenAI API users, though this may change in the future. #570 6th September 2024 csv-diff 1.2 - Python CLI tool and library for diffing CSV and JSON files New feature: --extra key "python format string", for adding additional output keys to the human-readable version of the diff. #38 Don't crash in JSON format mode if some JSON keys are missing. #13 Now includes a Dockerfile and instructions for building and running it that way. Thanks, @gourk. #11 datasette 1.0a16 - An open source multi-tool for exploring and publishing data This release focuses on performance, in particular against large tables, and introduces some minor breaking changes for CSS styling in Datasette plugins. - Removed the unit conversions feature and its dependency, Pint. This means Datasette is now compatible with the upcoming Python 3.13. (#2400, #2320) - The datasette --pdb option now uses the ipdb debugger if it is installed. You can install it using datasette install ipdb. Thanks, Tiago Ilieve. (#2342) - Fixed a confusing error that occurred if metadata.json contained nested objects. (#2403) - Fixed a bug with ?_trace=1 where it returned a blank page if the response was larger than 256KB. (#2404) - Tracing mechanism now also displays SQL queries that returned errors or ran out of time. datasette-pretty-traces 0.5 includes support for displaying this new type of trace. (#2405) - Fixed a text spacing with table descriptions on the homepage. (#2399) - Performance improvements for large tables: - Suggested facets now only consider the first 1000 rows. (#2406) - Improved performance of date facet suggestion against large tables. (#2407) - Row counts stop at 10,000 rows when listing tables. (#2398) - On table page the count stops at 10,000 rows too, with a "count all" button to execute the full count. (#2408) - New .dicts() internal method on Results that returns a list of dictionaries representing the results from a SQL query: (#2414) python rows = (await db.execute("select * from t")).dicts() - Default Datasette core CSS that styles inputs and buttons now requires a class of "core" on the element or a containing element, for example