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brew

Install dstack with Homebrew

ML workflow orchestration system designed for reproducibility and collaboration. Version 0.20.26 via Homebrew; verified 2026-06-26.

install

Additional install commands

macOS

Homebrewverified · 100%
brew install dstack

local Homebrew formula metadata

overview

Package summary

ML workflow orchestration system designed for reproducibility and collaboration

Commands and aliases

  • dstack

history

Project history and usage

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.

Project history

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.

Adoption history

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.

How it is used

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.

Why package nerds care

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.

Timeline

  • 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.

security posture

Risk level: orange

infrastructure mutation or orchestration signal.

Risk classifier

orange risk · medium confidence · infrastructure

Why

  • infrastructure mutation or orchestration signal

Signals

  • text:orchestration

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • Homebrew bottle metadata is available for 6 platform targets.
  • Installs with 6 runtime dependencies.
  • Build metadata lists 2 build dependencies.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to 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

executables

Installed executables

CommandKindExposureNote
dstackcliglobal executable

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-07-08
manager version0.20.26
manager updated2026-06-26
local dataok
upstreamnot checked
latest detectednot detected

https://dstack.ai/

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

install metadata

Package metadata

Package keybrew:dstack
Version0.20.26
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/dstack
Homepagehttps://dstack.ai/
Repositoryhttps://github.com/dstackai/dstack
Upstream docshttps://dstack.ai/docs
LicenseMPL-2.0
Source archivehttps://files.pythonhosted.org/packages/10/a2/d8eb5a64439b3932a223f6c8902ee4470a90566f4bd5706bc436aaab865b/dstack-0.20.26.tar.gz
Last updated2026-06-26T23:17:44Z
Pulseupdated
Dependenciescertifi, cryptography, libsodium, libyaml, python@3.13, rpds-py
Build dependenciespkgconf, rust
Bottleavailable (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-installnot defined
Servicenone declared

registry facts

Source database details

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

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Used sources

  • 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