# datasette mit Homebrew, Nix installieren

Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für datasette in AI-Agent-Workflows.

## Installation

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

Weitere Installationsbefehle:

### macOS

- Homebrew (100%):

```sh
brew install datasette
```

  Evidenz: local Homebrew formula metadata

### Linux

- Nix (92%):

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

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

## Paketfakten

- **Paketschlüssel:** brew:datasette
- **Paketmanager:** Homebrew
- **Version:** 0.65.2
- **Quellzusammenfassung:** Open source multi-tool for exploring and publishing data
- **Homepage:** <https://docs.datasette.io/en/stable/>
- **Repository:** <https://github.com/simonw/datasette>
- **Zuletzt aktualisiert:** 2026-07-15T10:42:08Z
- **Generiert:** 2026-08-03T19:37:03+00:00

## Executables

- datasette (Alias)

## Installationsverhalten

- Bottle: nicht verfügbar

## Version und Aktualität

- Seite generiert: 2026-08-03
- Manager-Version: 0.65.2
## Projektgeschichte und Nutzung

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

### Projektgeschichte

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.

### Adoptionsgeschichte

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.

### Wie es verwendet wird

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.

### Warum Paket-Nerds sich dafür interessieren

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.

### Zeitleiste

- 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.

### Quellen

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


## Sicherheitshinweise

Für datasette wurde kein passendes lokales Secret-Handling-Manifest gefunden. Nucleus-Paketmetadaten bleiben hier veröffentlicht, damit künftige Abdeckung eine stabile Paket-URL hat.



## 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
## Andere Paketmanager-Einträge

- 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)


## Quellen

- 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
