# Install dvc with Homebrew, chocolatey, Nix, scoop, winget Git for data science projects. Version 3.67.1 via Homebrew; verified 2026-06-29. ## Install ```sh sudo av install brew:dvc ``` Additional install commands: ### macOS - Homebrew (100%): ```sh brew install dvc ``` Evidence: local Homebrew formula metadata ### Linux - Nix (92%): ```sh nix profile install nixpkgs#dvc ``` Evidence: nixpkgs package indexes: dvc from https://raw.githubusercontent.com/NixOS/nixpkgs/master/pkgs/top-level/all-packages.nix ### Windows - Chocolatey (92%): ```sh choco install dvc ``` Evidence: Chocolatey community package catalog: dvc from http://community.chocolatey.org/api/v2/Packages?$filter=IsLatestVersion&$select=Id&$top=1000&$skiptoken='11','dotultimate' - Scoop (92%): ```sh scoop install main/dvc ``` Evidence: Scoop official bucket manifest trees: bucket/dvc.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1 - winget (92%): ```sh winget install --id Iterative.DVC -e ``` Evidence: Windows Package Manager source index: Iterative.DVC from https://cdn.winget.microsoft.com/cache/source.msix ## Package facts - **Package key:** brew:dvc - **Package manager:** Homebrew - **Package manager page:** - **Version:** 3.67.1 - **Source summary:** Git for data science projects - **Homepage:** - **Repository:** - **Upstream docs:** - **License:** Apache-2.0 - **Source archive:** - **Last updated:** 2026-06-29T11:57:26Z - **Generated:** 2026-07-08T07:18:31+00:00 ## Executables - dvc (cli) - dvc (alias) ## Dependencies - apache-arrow - certifi - cryptography - libyaml - numpy - pydantic - pygit2 - python@3.14 ## Build dependencies - cmake - ninja - openjdk - 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: 2026-07-08 - Package-manager version: 3.67.1 - Package-manager updated: 2026-06-29 - Local data: ok - Upstream repository: https://dvc.org - info: Release/tag comparison is only available for GitHub repositories. ## Project history and usage DVC, Data Version Control, is a Git-adjacent command-line system for versioning datasets, models, pipelines, and machine-learning experiments. Its package history matters because it made the everyday Git workflow feel usable for large data artifacts that do not belong directly inside a Git repository. ### Project history The public GitHub repository was created in March 2017, and the oldest release metadata exposed by GitHub shows a beta release, 0.8.1, in May 2017. The project developed around the idea that code, data, model files, metrics, and pipeline stages should be reproducible from a repository without forcing large binary artifacts into Git itself. DVC 2.0.0 was released on 2021-03-03, reflecting a period when the tool had broadened from data-file tracking into experiment and pipeline workflows. The 3.x release line was active through 2026, with release metadata showing frequent 3.x updates and a 3.67.1 release on 2026-03-31. ### Adoption history DVC became common in machine-learning engineering because it mapped data-science needs onto a familiar developer mental model: Git commits track code and lightweight metadata, while DVC remotes hold larger artifacts. Package-manager coverage across Homebrew, Chocolatey, Scoop, winget, Nix, and Python packaging reflects that it is used by both local workstation users and CI-oriented teams. Its adoption also followed the rise of reproducible ML pipelines and experiment tracking. Instead of being only a storage helper, DVC became a CLI layer for project structure: `dvc init`, `dvc add`, `dvc push`, `dvc pull`, `dvc repro`, and experiment commands give data-science repos repeatable operational verbs. ### How it is used Typical users initialize DVC inside an existing Git project, add datasets or model files to DVC tracking, configure a remote object store, and commit the generated metadata files to Git. Pipelines are then described so stages can be reproduced and cached, while results and metrics can be compared across experiments. DVC is especially useful when teams need a Git-like review and checkout workflow for data without storing gigabytes in Git history. It is also used in CI to fetch exact data/model versions and run reproducible training or evaluation jobs. ### Why package nerds care DVC is package-nerd significant because it is one of the clearest examples of a developer-tool CLI crossing into data science without abandoning Unix and Git habits. It treats datasets as content-addressed artifacts, keeps metadata text-friendly, and lets package managers install the same `dvc` command across macOS, Linux, and Windows. It also sits in a crowded but important lineage that includes Git LFS, lakeFS, MLflow, Pachyderm, and experiment trackers. DVC's distinction is that it keeps a repo-centered workflow rather than forcing every team into a hosted platform first. ### Timeline - 2017-03-04: Public GitHub repository created. - 2017-05-04: Oldest visible GitHub release metadata shows beta release 0.8.1. - 2021-03-03: DVC 2.0.0 released. - 2023-2026: DVC 3.x became the long-running active release line. - 2026-03-31: GitHub release metadata shows DVC 3.67.1. ### Related projects - DVC is related to Git and Git LFS for version-control workflows, object stores such as S3-compatible remotes for artifact storage, and ML platforms such as MLflow and lakeFS that overlap with reproducibility, experiment, or data-versioning concerns. ### Sources - - - - ## Security Notes No matching local secret-handling manifest was found for dvc. Nucleus package metadata is still published here so future coverage has a stable package URL. ## 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 - Linux: ~/.config/dvc/config, /etc/xdg/dvc/config - macOS: ~/Library/Application Support/dvc/config, /Library/Application Support/dvc/config - Unix: .dvc/config.local, .dvc/config - Windows: .dvc\config.local, .dvc\config, %LocalAppData%\iterative\dvc\config, %AllUsersProfile%\Application Data\iterative\dvc\config ## Credential files - Unix: .dvc/config.local ## Source Database Details - **Source Database:** Homebrew formula API - **Tap:** homebrew/core - **Full Name:** dvc - **Version Scheme:** 0 - **Revision:** 8 - **Bottle Stable Root URL:** - **Deprecated:** no - **Disabled:** no - **Keg Only:** no - **URL Keys:** stable ## Other Package-Manager Records - Nix - dvc: normalized package name match | nixpkgs package indexes: dvc from https://raw.githubusercontent.com/NixOS/nixpkgs/master/pkgs/top-level/all-packages.nix - Chocolatey - dvc: normalized package name match | Chocolatey community package catalog: dvc from http://community.chocolatey.org/api/v2/Packages?$filter=IsLatestVersion&$select=Id&$top=1000&$skiptoken='11','dotultimate' - Scoop - main/dvc: normalized package name match | Scoop official bucket manifest trees: bucket/dvc.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1 - winget - Iterative.DVC: normalized package name match | Windows Package Manager source index: Iterative.DVC from https://cdn.winget.microsoft.com/cache/source.msix ## Related links - [Source-control packages](https://www.automicvault.com/pkg/source-control-tools/) - Belongs to a source-control command family. - [Terminal utility packages](https://www.automicvault.com/pkg/terminal-utilities/) - Matched terminal and command-line workflow metadata. - [Text processing packages](https://www.automicvault.com/pkg/text-processing-tools/) - Matched text, document, or structured-data processing metadata. - [Developer build packages](https://www.automicvault.com/pkg/developer-build-tools/) - Matched build, compiler, generator, or developer workflow metadata. - [apache-arrow](https://www.automicvault.com/pkg/brew/apache-arrow/) - Runtime dependency declared by Homebrew. - [numpy](https://www.automicvault.com/pkg/brew/numpy/) - Runtime dependency declared by Homebrew. - [python@3.14](https://www.automicvault.com/pkg/brew/python-3-14/) - Runtime dependency declared by Homebrew. - [cmake](https://www.automicvault.com/pkg/brew/cmake/) - Build dependency declared by Homebrew. - [ninja](https://www.automicvault.com/pkg/brew/ninja/) - Build dependency declared by Homebrew. - [openjdk](https://www.automicvault.com/pkg/brew/openjdk/) - Build dependency declared by Homebrew. - [pkgconf](https://www.automicvault.com/pkg/brew/pkgconf/) - Build dependency declared by Homebrew. - [crf++](https://www.automicvault.com/pkg/brew/crf/) - Shares av.db curated category or tags: cli, developer-tools, machine-learning. - [hf](https://www.automicvault.com/pkg/brew/hf/) - Shares av.db curated category or tags: cli, developer-tools, machine-learning. - [hf-mcp-server](https://www.automicvault.com/pkg/brew/hf-mcp-server/) - Shares av.db curated category or tags: cli, developer-tools, machine-learning. - [llama.cpp](https://www.automicvault.com/pkg/brew/llama-cpp/) - Shares av.db curated category or tags: cli, developer-tools, machine-learning. - [mlx](https://www.automicvault.com/pkg/brew/mlx/) - Shares av.db curated category or tags: cli, developer-tools, machine-learning. - [mlx-lm](https://www.automicvault.com/pkg/brew/mlx-lm/) - Shares av.db curated category or tags: cli, developer-tools, machine-learning. - [pytorch](https://www.automicvault.com/pkg/brew/pytorch/) - Shares av.db curated category or tags: cli, developer-tools, machine-learning. - [text-embeddings-inference](https://www.automicvault.com/pkg/brew/text-embeddings-inference/) - Shares av.db curated category or tags: cli, developer-tools, machine-learning. ## Combined YAML source View the package source record on GitHub. [combined/dvc.yml](https://github.com/automic-vault/db/blob/main/combined/dvc.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 - external package-manager database matches - cross-ecosystem install command graph