install

Additional install commands

macOS

Homebrewverified · 100%

brew install datasette

local Homebrew formula metadata

Linux

Nixverified · 92%

nix profile install nixpkgs#datasette

nixpkgs package indexes · datasette · source: raw.githubusercontent.com

overview

Package summary

Open source multi-tool for exploring and publishing data

Project links

Commands and aliases

datasette

history

Project history and usage

Datasette is an open-source tool for exploring and publishing SQLite-backed data as an interactive website and JSON API.

Project history

Datasette was created by Simon Willison and the official changelog traces public releases back to November 2017. The project grew from a lightweight SQLite publishing tool into a broader data exploration platform with plugins, publishing commands, and hosted demos.

Adoption history

The README explicitly targets data journalists, museums, archivists, local governments, scientists, researchers, and other people with data to share. That audience explains its adoption pattern: simple local inspection first, then repeatable publishing to the web.

How it is used

Package users usually install the CLI, point it at one or more SQLite databases, and run `datasette serve` locally or `datasette publish` to deploy a site and API.

Why package nerds care

Datasette matters in package catalogs because it turns SQLite files into browsable, queryable web apps with one command, making a database file feel like a portable software artifact.

Timeline

2017: Datasette 0.1 appears in the official changelog.
2018: Early 0.x releases expand the publishing and exploration workflow.
2024: Datasette 1.0 alpha releases continue the long-running plugin-oriented line.

Related projects

SQLite is the central related technology; Datasette Lite and the Datasette plugin ecosystem extend the same publishing model.

Sources

security posture

No protected-tool coverage found yet

No matching local secret-handling manifest was found for datasette. Nucleus package metadata is still published here so future coverage has a stable package URL.

Install behavior

No Homebrew post-install hook is recorded in formula metadata.
Homebrew bottle metadata is available for 6 platform targets.
Installs with 3 runtime dependencies.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix: datasette.yamldatasette.json

executables

Installed executables

Command	Kind	Exposure	Note
`datasette`	cli	global executable

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-07-25

manager version0.65.2

manager updated2026-07-15

local dataok

upstreamnot checked

latest detectednot detected

https://docs.datasette.io/en/stable/

infoRelease/tag comparison is only available for GitHub repositories.https://docs.datasette.io/en/stable/none confidence

install metadata

Package metadata

Package key	brew:datasette
Version	0.65.2
Package manager	Homebrew
Package manager page	https://formulae.brew.sh/formula/datasette
Homepage	https://docs.datasette.io/en/stable/
Repository	https://github.com/simonw/datasette
Upstream docs	https://docs.datasette.io/en/stable
License	Apache-2.0
Source archive	https://files.pythonhosted.org/packages/80/26/80b5480921d71891b8ff880fed6d44150b9164903d683efe2eb7405b61d8/datasette-0.65.2.tar.gz
Last updated	2026-07-15T10:42:08Z
Pulse	updated
Dependencies	certifi, libyaml, python@3.14
Bottle	available (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install	not defined
Service	none declared

registry facts

Source database details

Source Database	Homebrew formula API
Tap	homebrew/core
Full Name	datasette
Version Scheme	0
Revision	6
Head Version	HEAD
Bottle Stable Root URL	https://ghcr.io/v2/homebrew/core
Deprecated	no
Disabled	no
Keg Only	no
URL Keys	head stable

source database matches

Other package-manager records

Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.

Nix95%

datasette

nix profile install nixpkgs#datasette

normalized package name match
Matched by: Datasette

nixpkgs package indexes · raw.githubusercontent.com · nixpkgs package indexes: datasette from https://raw.githubusercontent.com/NixOS/nixpkgs/master/pkgs/top-level/all-packages.nix

package graph

Links come from deterministic package relationships, av.db category and tag curation, ecosystem matches, and package hub membership.

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Combined YAML source

View the package source record on GitHub.

combined/datasette.yml

Used sources

Geiger risk classifier
Nucleus package database
av.db category and tag curation
cross-ecosystem install command graph
curated configuration and credential file locations
curated package history
external package-manager database matches
package relationship graph
package version freshness
package-page enrichment

Install datasette with Homebrew, Nix