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brew

使用 Homebrew 安装 dstack

查看 dstack 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install dstack

local Homebrew formula metadata

概览

软件包摘要

ML workflow orchestration system designed for reproducibility and collaboration

命令和别名

  • dstack

历史

项目历史与用法

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.

项目历史

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.

采用历史

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.

使用方式

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.

为什么软件包爱好者会关心

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.

时间线

  • 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.

安全态势

风险级别:orange

infrastructure mutation or orchestration signal.

风险分类器

orange 风险 · 中 置信度 · infrastructure

原因

  • infrastructure mutation or orchestration signal

信号

  • text:orchestration

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 安装时包含 6 个运行时依赖。
  • 构建元数据列出 2 个构建依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

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

可执行文件

已安装的可执行文件

命令类型暴露范围备注
dstackcli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-07-10
管理器版本0.20.26
管理器更新时间2026-06-26
本地数据OK
上游not checked
检测到的最新版本未检测到

https://dstack.ai/

  • 信息Release/tag comparison is only available for GitHub repositories.https://dstack.ai/none 置信度

安装元数据

软件包元数据

软件包键brew:dstack
版本0.20.26
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/dstack
主页https://dstack.ai/
仓库https://github.com/dstackai/dstack
上游文档https://dstack.ai/docs
许可证MPL-2.0
源码归档https://files.pythonhosted.org/packages/10/a2/d8eb5a64439b3932a223f6c8902ee4470a90566f4bd5706bc436aaab865b/dstack-0.20.26.tar.gz
最后更新2026-06-26T23:17:44Z
Pulseupdated
依赖certifi, cryptography, libsodium, libyaml, python@3.13, rpds-py
构建依赖pkgconf, rust
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

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

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • 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