# Installer datafusion avec Homebrew, Nix

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

## installation

```sh
sudo av install brew:datafusion
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install datafusion
```

  Preuve: local Homebrew formula metadata

### Linux

- Nix (92%):

```sh
nix profile install nixpkgs#datafusion-cli
```

  Preuve: nixpkgs package indexes: pkgs/by-name/da/datafusion-cli/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

## Faits du paquet

- **Clé du paquet:** brew:datafusion
- **Gestionnaire de paquets:** Homebrew
- **Version:** 54.1.0
- **Résumé source:** Apache Arrow DataFusion and Ballista query engines
- **Page d'accueil:** <https://arrow.apache.org/datafusion>
- **Dépôt:** <https://github.com/apache/datafusion>
- **Dernière mise à jour:** 2026-07-21T19:01:07Z
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- datafusion-cli (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 54.1.0
## Historique du projet et usages

Apache DataFusion is an extensible Rust query engine built on Apache Arrow for SQL, DataFrame, and embedded analytic workloads.

### Historique du projet

The official introduction says DataFusion originated as part of Apache Arrow and is now presented as Apache DataFusion with its own site, user guide, CLI documentation, subprojects, and release documentation. The project provides libraries and binaries for building database and analytic systems.

### Historique d'adoption

The official user guide lists active projects using DataFusion, including stream-processing engines, SQL query engines, lakehouse tooling, search and analytics systems, and language bindings. This makes DataFusion both a library dependency and a foundation for newer data systems.

### Modes d'utilisation

Developers embed DataFusion as a Rust query engine, use its SQL and DataFrame APIs, or run `datafusion-cli` to query data formats such as CSV and Parquet from a command line.

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

DataFusion matters to package people because it packages a modern analytical query planner and execution engine as Rust crates and a CLI, sitting at the intersection of Apache Arrow, SQL engines, and embeddable database components.

### Chronologie

- 2021: The standalone apache/datafusion repository has 4.0.0 tag history after DataFusion originated in Apache Arrow.
- 2026: Official documentation lists the 50.x through 55.x release series and related DataFusion subprojects.

### Related projects

- Related official projects include Apache Arrow, DataFusion Python, DataFusion Java, DataFusion Comet, and DataFusion Ballista.

### Sources

- <https://datafusion.apache.org/>
- <https://datafusion.apache.org/user-guide/introduction.html>
- <https://datafusion.apache.org/user-guide/cli/index.html>
- <https://github.com/apache/datafusion>
- <https://github.com/apache/datafusion/releases/tag/4.0.0>


## Notes de sécurité

narrow executable package without higher-risk signals.

- **Risque Geiger:** vert / faible
- narrow executable package without higher-risk signals

## Autres enregistrements de gestionnaires de paquets

- Nix - datafusion-cli: installed executable or alias match | nixpkgs package indexes: pkgs/by-name/da/datafusion-cli/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1


## Liens liés

- [datafusion](https://pkg.so/fr/pkg/cargo/datafusion/) - Same normalized package name exists in another local package ecosystem.

## Combined YAML source

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


## Sources

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