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Install vineyard with Homebrew

In-memory immutable data manager. (Project under CNCF). Version 0.24.4 via Homebrew; verified 2026-06-25.

install

Additional install commands

macOS

Homebrewverified · 100%
brew install vineyard

local Homebrew formula metadata

overview

Package summary

In-memory immutable data manager. (Project under CNCF)

Commands and aliases

  • vineyard-graph-loader
  • vineyardd

history

Project history and usage

Vineyard, also styled v6d, is an in-memory immutable data manager for sharing distributed data between analytics systems without copying it through files or serialization layers. Its own documentation frames it as infrastructure for graph analytics, numerical computing, and machine-learning workflows where intermediate data must move between engines such as GraphScope, Mars, PyTorch, Spark, Hive, Airflow, Flyte, Kubeflow Pipelines, and Kubernetes-native jobs.

Project history

The public GitHub repository was created in October 2020, and the project entered the Cloud Native Computing Foundation sandbox on April 28, 2021. CNCF annual reviews describe the original maintainer base as Alibaba-led, with early focus on high-level distributed objects such as tensors, tables, graphs, and streams, plus polyglot SDKs for C++, Python, and Java.

By the 2023 CNCF review, Vineyard had expanded its language and workflow surface to include Python, Go, Rust, Java, Kubernetes integration, workflow-engine integrations, and an academic paper, 'Vineyard: Optimizing Data Sharing in Data-Intensive Analytics,' published at SIGMOD 2023. The project presented itself as a cloud-native object store for complex AI and analytics pipelines where intermediate data exchange is a bottleneck.

Adoption history

CNCF review documents report early adoption and evaluation in GraphScope, Mars-related workflows, the ESRF BLISS environment, and PingAn research platforms. The 2023 review says PingAn Tech had moved Vineyard into production for dataset sharing and management, while StartDT/Qidianyun was evaluating it for Python-centric data processing pipelines.

The same CNCF reviews show community growth from the sandbox entry period into 2023, including a reported move from roughly 26 to 40 contributors and from 600-plus to about 750 GitHub stars between the 2022 and 2023 annual reviews. Those figures are self-reported by the project in CNCF governance material rather than independent market-share data.

How it is used

In practice, Vineyard is used as a shared-memory/object-store layer between steps in a data workflow. A producer writes distributed dataframes, tensors, graphs, streams, or other registered object types into Vineyard; consumers in other systems retrieve those objects by id and operate on them without the usual copy-heavy detour through external storage.

Its package-nerd niche is cloud-native data plumbing: the command-line and daemon pieces matter less as user-facing utilities than as the runtime substrate behind Python APIs, Kubernetes operators, scheduler plugins, workflow integrations, and data-system connectors.

Timeline

  • 2020-10: The v6d-io/v6d repository was created on GitHub.
  • 2021-04-28: Vineyard was accepted as a CNCF sandbox project.
  • 2022: CNCF annual review described adoption in GraphScope, Mars-related workflows, ESRF BLISS testing, and PingAn testing.
  • 2023-06: The Vineyard SIGMOD paper was published with DOI 10.1145/3589780.
  • 2023: CNCF annual review described PingAn production use, StartDT evaluation, and expanded workflow/Kubernetes integrations.

Related projects

  • Vineyard is closely related to GraphScope, Mars, PyData-style dataframe/tensor workflows, Kubernetes, Kubeflow Pipelines, Airflow, Flyte, Spark, Hive, and the CNCF data/batch ecosystem.

security posture

Risk level: green

narrow executable package without higher-risk signals.

Risk classifier

green risk · low confidence · appliance

Why

  • narrow executable package without higher-risk signals

Signals

  • metadata:no-higher-risk-signals

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • Homebrew bottle metadata is available for 6 platform targets.
  • Installs with 9 runtime dependencies.
  • Build metadata lists 5 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.

executables

Installed executables

CommandKindExposureNote
vineyard-graph-loadercliglobal executable
vineyarddcliglobal 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 version0.24.4
manager updated2026-06-25
local dataok
upstreamnot checked
latest detectednot detected

https://github.com/v6d-io/v6d

install metadata

Package metadata

Package keybrew:vineyard
Version0.24.4
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/vineyard
Homepagehttps://v6d.io
Repositoryhttps://github.com/v6d-io/v6d
Upstream docshttps://v6d.io/docs.html
LicenseApache-2.0
Source archivehttps://github.com/v6d-io/v6d/releases/download/v0.24.4/v6d-0.24.4.tar.gz
Last updated2026-06-25T13:38:11+02:00
Pulseupdated
Dependenciesapache-arrow, boost, cpprestsdk, etcd, etcd-cpp-apiv3, gflags, glog, libgrape-lite, open-mpi
Build dependenciescmake, llvm, openssl@3, python-setuptools, python@3.14
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 Namevineyard
Version Scheme0
Revision8
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedyes
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 package history
  • package relationship graph
  • package version freshness
  • package-page enrichment