# Installer datasette avec Homebrew, Nix

Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de datasette pour les workflows d'agents IA.

## installation

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

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install datasette
```

  Preuve: local Homebrew formula metadata

### Linux

- Nix (92%):

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

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

## Faits du paquet

- **Clé du paquet:** brew:datasette
- **Gestionnaire de paquets:** Homebrew
- **Version:** 0.65.2
- **Résumé source:** Open source multi-tool for exploring and publishing data
- **Page d'accueil:** <https://docs.datasette.io/en/stable/>
- **Dépôt:** <https://github.com/simonw/datasette>
- **Dernière mise à jour:** 2026-07-15T10:42:08Z
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- datasette (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 0.65.2
## Historique du projet et usages

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

### Historique du projet

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.

### Historique d'adoption

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.

### Modes d'utilisation

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.

### Pourquoi les passionnés de paquets s'y intéressent

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.

### Chronologie

- 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>


## Notes de sécurité

Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour datasette. Les métadonnées de paquet Nucleus restent publiées ici afin que la couverture future dispose d'une URL stable.



## 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
## Autres enregistrements de gestionnaires de paquets

- 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