macOS
brew install dstacklocal Homebrew formula metadata
brew
dstack のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。
インストール
brew install dstacklocal Homebrew formula metadata
概要
ML workflow orchestration system designed for reproducibility and collaboration
履歴
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.
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.
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.
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.
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.
セキュリティ状態
infrastructure mutation or orchestration signal.
リスク orange · 信頼度 中 · infrastructure
エージェントに無人実行させる前に、このツールが平文の認証情報を読むか、リモート状態を書き込むか、成果物を公開するか、プラグインを起動するかを確認してください。
local files
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.
Config paths the tool may read or write during local use.
.dstack.yml~/.dstack/config.yml~/.dstack/server/config.ymlCredential-bearing paths to review before unattended agent runs.
~/.dstack/config.yml~/.dstack/server/config.yml実行可能ファイル
| コマンド | 種類 | 公開範囲 | メモ |
|---|---|---|---|
dstack | cli | グローバル実行可能ファイル |
鮮度
これらの信号は、ページ生成時期、パッケージマネージャの活動、上流リリース比較を分けて示します。バージョン遅れは、証拠 URL と比較可能なバージョンがある場合だけ警告されます。
インストールメタデータ
| パッケージキー | brew:dstack |
|---|---|
| バージョン | 0.20.26 |
| パッケージマネージャ | Homebrew |
| パッケージマネージャページ | https://formulae.brew.sh/formula/dstack |
| ホームページ | https://dstack.ai/ |
| リポジトリ | https://github.com/dstackai/dstack |
| 上流ドキュメント | https://dstack.ai/docs |
| ライセンス | MPL-2.0 |
| ソースアーカイブ | https://files.pythonhosted.org/packages/10/a2/d8eb5a64439b3932a223f6c8902ee4470a90566f4bd5706bc436aaab865b/dstack-0.20.26.tar.gz |
| 最終更新 | 2026-06-26T23:17:44Z |
| Pulse | updated |
| 依存関係 | certifi, cryptography, libsodium, libyaml, python@3.13, rpds-py |
| ビルド依存関係 | pkgconf, rust |
| Bottle | 利用可能 (対象 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定義 |
| サービス | 宣言なし |
レジストリ情報
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | dstack |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
ソース経路
このページは scripts/generate-pkg-sqlite.py が生成した非公開のパッケージ SQLite アーティファクトから av-web によって提供されます。
View the package source record on GitHub.