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brew

Installer dstack avec Homebrew

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

installation

Commandes d'installation supplémentaires

macOS

Homebrewvérifié · 100%
brew install dstack

local Homebrew formula metadata

aperçu

Résumé du paquet

ML workflow orchestration system designed for reproducibility and collaboration

historique

Historique du projet et usages

dstack is an open-source control plane and CLI for provisioning and orchestrating GPU and AI workloads across cloud providers, Kubernetes, and on-premises machines. Its package-manager identity is a Python-distributed ML infrastructure tool that gives users a local `dstack` command, a server, and YAML workload definitions.

Historique du projet

The package trail starts on PyPI in September 2021, while the GitHub repository was created in January 2022. The project evolved from a reproducible ML workflow tool into a broader GPU orchestration system covering development environments, training tasks, services, fleets, volumes, and backends.

By 2026 the README described dstack as a unified control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters, with support for NVIDIA, AMD, Google TPU, and Tenstorrent accelerators. The docs and README also show the project adapting to agentic workflows through dstack skills for tools such as Claude, Codex, and Cursor.

Historique d'adoption

Distribution is source-backed through PyPI and Homebrew. PyPI metadata records hundreds of releases and version 0.20.26 in June 2026, while the Homebrew formula uses the same release from the Python source distribution.

Homebrew analytics are modest compared with general-purpose infrastructure tools, but the formula matters because it gives macOS and Linux users a package-manager path into a Python ML orchestration stack without starting from a source checkout.

Modes d'utilisation

Typical usage starts with installing the CLI or server, running `dstack server`, adding a project with a server URL and token, and applying YAML configurations from a repository. The official README documents `.dstack.yml` workload files and user or server configuration under `~/.dstack`.

The package is aimed at teams that want one workflow for development environments, batch tasks, training jobs, services, and GPU fleet management across different compute backends.

Pourquoi les passionnés de paquets s'y intéressent

dstack is notable as part of the modern wave of ML infrastructure CLIs that package cloud, Kubernetes, GPU scheduling, and developer workflow into a single local command. It sits in the same package-manager lane as tools that developers install before a full platform is available.

For package nerds, its interesting wrinkle is the mix of Python packaging, Homebrew distribution, server configuration, repo-local YAML definitions, and rapidly changing AI accelerator support.

Chronologie

  • 2021-09: PyPI records the first dstack release artifacts.
  • 2022-01: The current GitHub repository is created.
  • 2025-12: dstack 0.20.0 release line emphasizes fleet-first UX and events.
  • 2026-06: PyPI and Homebrew package dstack 0.20.26.

Related projects

  • Kubernetes is one of the supported orchestration backends.
  • PyPI is the upstream package distribution channel used by the Homebrew formula.
  • Claude, Codex, and Cursor are named in the README as agent clients that can use dstack skills.

posture de sécurité

Niveau de risque : orange

infrastructure mutation or orchestration signal.

Classificateur de risque

risque orange · confiance moyen · infrastructure

Pourquoi

  • infrastructure mutation or orchestration signal

Signaux

  • text:orchestration

Comportement d'installation

  • Aucun hook post-install Homebrew n’est enregistré dans les métadonnées de formule.
  • Les métadonnées de bottle Homebrew sont disponibles pour 6 plateformes.
  • S’installe avec 6 dépendances d’exécution.
  • Les métadonnées de compilation listent 2 dépendances de compilation.

Revue recommandée

Avant une utilisation sans surveillance par un agent, vérifiez si l'outil lit des identifiants en clair, écrit un état distant, publie des artefacts ou lance des plugins.

local files

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

Config paths the tool may read or write during local use.

Unix
.dstack.yml~/.dstack/config.yml~/.dstack/server/config.yml

Credential files

Credential-bearing paths to review before unattended agent runs.

Unix
~/.dstack/config.yml~/.dstack/server/config.yml

exécutables

Exécutables installés

CommandeTypeExpositionNote
dstackcliexécutable global

fraîcheur

Version et fraîcheur

Ces signaux séparent l'âge de génération de la page, l'activité du gestionnaire de paquets et la comparaison avec les versions amont. Un retard de version n'est signalé que lorsqu'une URL de preuve et des versions comparables sont présentes.

page générée2026-07-10
version du gestionnaire0.20.26
gestionnaire mis à jour2026-06-26
données localesOK
amontnot checked
dernière version détectéenon détecté

https://dstack.ai/

  • infoRelease/tag comparison is only available for GitHub repositories.https://dstack.ai/confiance none

métadonnées d'installation

Métadonnées du paquet

Clé du paquetbrew:dstack
Version0.20.26
Gestionnaire de paquetsHomebrew
Page du gestionnaire de paquetshttps://formulae.brew.sh/formula/dstack
Page d'accueilhttps://dstack.ai/
Dépôthttps://github.com/dstackai/dstack
Docs amonthttps://dstack.ai/docs
LicenceMPL-2.0
Archive sourcehttps://files.pythonhosted.org/packages/10/a2/d8eb5a64439b3932a223f6c8902ee4470a90566f4bd5706bc436aaab865b/dstack-0.20.26.tar.gz
Dernière mise à jour2026-06-26T23:17:44Z
Pulseupdated
Dépendancescertifi, cryptography, libsodium, libyaml, python@3.13, rpds-py
Dépendances de compilationpkgconf, rust
Bouteilledisponible (sur arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
post-install Homebrewnon défini
Serviceaucun déclaré

faits du registre

Détails de la base source

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namedstack
Version Scheme0
Revision0
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

piste source

Généré depuis les données du dépôt

Cette page est servie par av-web depuis l'artéfact SQLite privé des paquets généré par scripts/generate-pkg-sqlite.py.

Sources utilisées

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • package relationship graph
  • package version freshness
  • package-page enrichment