# Install datasette with Homebrew, Nix

Open source multi-tool for exploring and publishing data. Version 0.65.2 via Homebrew; verified 2026-07-15. Also installable with nix: nix profile install nixpkgs#datasette.

## Install

```sh
sudo av install brew:datasette
```

Additional install commands:

### macOS

- Homebrew (100%):

```sh
brew install datasette
```

  Evidence: local Homebrew formula metadata

### Linux

- Nix (92%):

```sh
nix profile install nixpkgs#datasette
```

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

## Package facts

- **Package key:** brew:datasette
- **Package manager:** Homebrew
- **Version:** 0.65.2
- **Source summary:** Open source multi-tool for exploring and publishing data
- **Homepage:** <https://docs.datasette.io/en/stable/>
- **Repository:** <https://github.com/simonw/datasette>
- **Last updated:** 2026-07-15T10:42:08Z
- **Generated:** 2026-08-03T19:37:03+00:00

## Executables

- datasette (alias)

## Install behavior

- Bottle: not available

## Freshness

- Page generated: 2026-08-03
- Package-manager version: 0.65.2
## 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

- <https://github.com/simonw/datasette/blob/main/README.md>
- <https://docs.datasette.io/en/stable>
- <https://docs.datasette.io/en/stable/changelog.html>


## Security Notes

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.



## 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

- Unix: datasette.yaml, datasette.json
## Other Package-Manager Records

- Nix - datasette: normalized package name match | nixpkgs package indexes: datasette from https://raw.githubusercontent.com/NixOS/nixpkgs/master/pkgs/top-level/all-packages.nix


## Combined YAML source

View the package source record on GitHub. [combined/datasette.yml](https://github.com/mxcl/pkgdb/blob/main/combined/datasette.yml)


## Sources

- pkg.so package database
- Geiger risk classifier
- curated configuration and credential file locations
- curated package history
- pkgdb category and tag curation
- external package-manager database matches
- cross-ecosystem install command graph