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

Liens du projet

Page d'accueil

Commandes et alias

dstack

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.

Sources

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

Aucune métadonnée de bottle Homebrew n’a été enregistrée.

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

Commande	Type	Exposition	Note
`dstack`	exécutable	exécutable indexé	Découvert depuis l'index local des exécutables.

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 générée2026-08-03

version du gestionnaire0.20.29

gestionnaire mis à jour2026-07-25

données localesinconnu

amontnon disponible

dernière version détectéenon détecté

OKAucun avertissement de fraîcheur n'a été généré.

métadonnées d'installation

Métadonnées du paquet

Clé du paquet	brew:dstack
Version	0.20.29
Gestionnaire de paquets	Homebrew
Page d'accueil	https://dstack.ai/
Dernière mise à jour	2026-07-25T12:52:13Z
Pulse	updated
Bouteille	non enregistré
Service	aucun déclaré

graphe de paquets

Les liens viennent du graphe local de relations entre paquets, des suppléments, des dépendances, des correspondances d'écosystèmes et de l'appartenance aux hubs.

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.

Combined YAML source

View the package source record on GitHub.

combined/dstack.yml

Sources utilisées

Geiger risk classifier
cross-ecosystem install command graph
curated configuration and credential file locations
curated package history
pkg.so package database
pkgdb category and tag curation

Installer dstack avec Homebrew