# Installer datalad avec Homebrew, apt, Nix, dnf

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

## installation

```sh
sudo av install brew:datalad
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install datalad
```

  Preuve: local Homebrew formula metadata

### Linux

- Debian apt (92%):

```sh
sudo apt install datalad
```

  Preuve: Debian stable package indexes: datalad from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz

- Nix (92%):

```sh
nix profile install nixpkgs#datalad
```

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

- dnf (92%):

```sh
sudo dnf install python3-datalad
```

  Preuve: Fedora Rawhide package metadata: python3-datalad from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/07190dc5ae9f35ae73866675fed6d95fe6e8d9fe22c9d7cdf85862cb2ed24a4c-primary.xml.zst

## Faits du paquet

- **Clé du paquet:** brew:datalad
- **Gestionnaire de paquets:** Homebrew
- **Version:** 1.6.1
- **Résumé source:** Data distribution geared toward scientific datasets
- **Page d'accueil:** <https://www.datalad.org>
- **Dépôt:** <https://github.com/datalad/datalad>
- **Dernière mise à jour:** 2026-07-24T21:11:54Z
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- datalad (alias)
- git-annex-remote-datalad (alias)
- git-annex-remote-datalad-archives (alias)
- git-annex-remote-ora (alias)
- git-annex-remote-ria (alias)
- git-credential-datalad (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 1.6.1
## Historique du projet et usages

DataLad is a command-line and Python data-management system for datasets that need versioning, publication, and retrieval rather than only local storage.

### Historique du projet

The project grew around the idea that scientific datasets could use Git-style versioning while delegating large-file content management to git-annex. Its technical documentation frames DataLad as a CLI and Python API, with the public changelog showing early 0.x releases in 2015 and continuing through 1.x releases.

### Historique d'adoption

DataLad adoption is strongest in research-data workflows where datasets, provenance, and distributed storage matter. The handbook emphasizes compatibility with Git and git-annex, making it attractive to users who already understand repository-based collaboration but need large-file logistics.

### Modes d'utilisation

Package users care about the `datalad` command because it can create, clone, publish, and retrieve dataset content while leaving the underlying repository usable with ordinary Git and git-annex commands.

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

DataLad is notable in package-manager catalogs because it packages a research-data workflow stack into a Unix-style CLI, bridging Git, git-annex, metadata, and reproducibility tooling.

### Chronologie

- 2015: DataLad 0.1 appears in the official changelog.
- 2024: DataLad reaches the 1.0 series.
- 2026: The official documentation continues to publish 1.x releases.

### Related projects

- Git and git-annex are core related projects because DataLad datasets are Git repositories and DataLad uses git-annex for file content tracking and transport.

### Sources

- <https://docs.datalad.org/en/stable>
- <https://docs.datalad.org/en/stable/changelog.html>
- <https://handbook.datalad.org/en/latest/basics/101-180-FAQ.html>


## Notes de sécurité

Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour datalad. 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: ~/.gitconfig, .git/config, .datalad/config
## Autres enregistrements de gestionnaires de paquets

- Debian apt - datalad - 1.1.5-2.1: normalized package name match | Debian stable package indexes: datalad from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz | data files management and distribution platform | https://datalad.org
- Debian apt - python3-datalad - 1.1.5-2.1: normalized package name match | Debian stable package indexes: python3-datalad from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz | data files management and distribution platform | https://datalad.org
- Nix - datalad: normalized package name match | nixpkgs package indexes: datalad from https://raw.githubusercontent.com/NixOS/nixpkgs/master/pkgs/top-level/all-packages.nix
- dnf - python3-datalad - 1.6.1-1.fc45: normalized package name match | Fedora Rawhide package metadata: python3-datalad from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/07190dc5ae9f35ae73866675fed6d95fe6e8d9fe22c9d7cdf85862cb2ed24a4c-primary.xml.zst | Keep code, data, containers under control with git and git-annex | https://github.com/datalad/datalad


## Combined YAML source

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