# Install dstack with Homebrew ML workflow orchestration system designed for reproducibility and collaboration. Version 0.20.26 via Homebrew; verified 2026-06-26. ## Install ```sh sudo av install brew:dstack ``` Additional install commands: ### macOS - Homebrew (100%): ```sh brew install dstack ``` Evidence: local Homebrew formula metadata ## Package facts - **Package key:** brew:dstack - **Package manager:** Homebrew - **Package manager page:** - **Version:** 0.20.26 - **Source summary:** ML workflow orchestration system designed for reproducibility and collaboration - **Homepage:** - **Repository:** - **Upstream docs:** - **License:** MPL-2.0 - **Source archive:** - **Last updated:** 2026-06-26T23:17:44Z - **Generated:** 2026-07-09T07:20:21+00:00 ## Executables - dstack (cli) - dstack (alias) ## Dependencies - certifi - cryptography - libsodium - libyaml - python@3.13 - rpds-py ## Build dependencies - pkgconf - rust ## Install behavior - Post-install hook: not defined - Bottle: available on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux ## Freshness - Page generated: 2026-07-09 - Package-manager version: 0.20.26 - Package-manager updated: 2026-06-26 - Local data: ok - Upstream repository: https://dstack.ai/ - info: Release/tag comparison is only available for GitHub repositories. ## 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. ### Sources - - - - ## Security Notes infrastructure mutation or orchestration signal. - **Geiger risk:** orange / medium - infrastructure mutation or orchestration signal ## 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 - Unix: .dstack.yml, ~/.dstack/config.yml, ~/.dstack/server/config.yml ## Credential files - Unix: ~/.dstack/config.yml, ~/.dstack/server/config.yml ## Source Database Details - **Source Database:** Homebrew formula API - **Tap:** homebrew/core - **Full Name:** dstack - **Version Scheme:** 0 - **Revision:** 0 - **Bottle Stable Root URL:** - **Deprecated:** no - **Disabled:** no - **Keg Only:** no - **URL Keys:** stable ## Related links - [Cloud CLI packages](https://www.automicvault.com/pkg/cloud-clis/) - Belongs to a cloud or infrastructure command family. - [Secret-risk packages](https://www.automicvault.com/pkg/secret-risk-packages/) - Has protected-tool coverage, approval-gate, or non-low Geiger security signals. - [Terminal utility packages](https://www.automicvault.com/pkg/terminal-utilities/) - Matched terminal and command-line workflow metadata. - [Networking and protocol packages](https://www.automicvault.com/pkg/networking-protocol-tools/) - Matched network, protocol, or remote-service metadata. - [python@3.13](https://www.automicvault.com/pkg/brew/python-3-13/) - Runtime dependency declared by Homebrew. - [pkgconf](https://www.automicvault.com/pkg/brew/pkgconf/) - Build dependency declared by Homebrew. - [rust](https://www.automicvault.com/pkg/brew/rust/) - Build dependency declared by Homebrew. - [juju](https://www.automicvault.com/pkg/brew/juju/) - Shares av.db curated category or tags: cli, cloud-infrastructure, kubernetes, orchestration. - [apache-brooklyn-cli](https://www.automicvault.com/pkg/brew/apache-brooklyn-cli/) - Shares av.db curated category or tags: cli, cloud-infrastructure, orchestration. - [nomad-pack](https://www.automicvault.com/pkg/brew/nomad-pack/) - Shares av.db curated category or tags: cli, cloud-infrastructure, orchestration. - [liqoctl](https://www.automicvault.com/pkg/brew/liqoctl/) - Shares av.db curated category or tags: cli, cloud-infrastructure, kubernetes, orchestration. - [argo](https://www.automicvault.com/pkg/brew/argo/) - Shares av.db curated category or tags: cli, cloud-infrastructure, kubernetes. - [argocd](https://www.automicvault.com/pkg/brew/argocd/) - Shares av.db curated category or tags: cli, cloud-infrastructure, kubernetes. - [argocd-autopilot](https://www.automicvault.com/pkg/brew/argocd-autopilot/) - Shares av.db curated category or tags: cli, cloud-infrastructure, kubernetes. - [argocd-vault-plugin](https://www.automicvault.com/pkg/brew/argocd-vault-plugin/) - Shares av.db curated category or tags: cli, cloud-infrastructure, kubernetes. - [aws-sam-cli](https://www.automicvault.com/pkg/brew/aws-sam-cli/) - Both packages touch the same language runtime or ecosystem. Shared terms: certifi, cli, cloud, cloud-infrastructure, cryptography. - [otterdog](https://www.automicvault.com/pkg/brew/otterdog/) - Both packages touch the same language runtime or ecosystem. Shared terms: certifi, cli, cloud, cloud-infrastructure, cryptography. - [ansible](https://www.automicvault.com/pkg/brew/ansible/) - Both packages touch the same language runtime or ecosystem. Shared terms: certifi, cli, cloud, cloud-infrastructure, cryptography. ## Combined YAML source View the package source record on GitHub. [combined/dstack.yml](https://github.com/automic-vault/db/blob/main/combined/dstack.yml) ## Sources - Nucleus package database - Geiger risk classifier - package-page enrichment - curated configuration and credential file locations - curated package history - package version freshness - av.db category and tag curation - package relationship graph - cross-ecosystem install command graph