macOS
brew install apache-arrowlocal Homebrew formula metadata
sudo port install apache-arrowMacPorts ports tree · devel/apache-arrow/Portfile · Source: api.github.com
brew / rang 386
Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de apache-arrow pour les workflows d'agents IA.
installation
brew install apache-arrowlocal Homebrew formula metadata
sudo port install apache-arrowMacPorts ports tree · devel/apache-arrow/Portfile · Source: api.github.com
sudo apk add apache-arrowAlpine Linux edge package indexes · apache-arrow · Source: dl-cdn.alpinelinux.org
sudo zypper install apache-arrowopenSUSE Tumbleweed package metadata · apache-arrow · Source: download.opensuse.org
aperçu
Columnar in-memory analytics layer designed to accelerate big data
historique
Apache Arrow is a universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics. It gives data systems a shared memory representation, IPC format, and language implementations so analytics data can move with less copying and conversion.
The official README describes Arrow as a universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics. Its major components include the columnar format, IPC format, Arrow Flight, ADBC, C++ libraries, bindings, and implementations across languages including Python, R, Ruby, JavaScript, Java, Go, Rust, Julia, Swift, and .NET.
Arrow grew as an Apache Software Foundation data project around the problem of interoperability between analytical systems. Instead of every engine inventing a private in-memory table format, Arrow standardizes buffers, schemas, metadata, and IPC so systems can exchange columnar data efficiently.
The Git tag history records early `apache-arrow-0.1.0` tags and a later `apache-arrow-1.0.0`, followed by regular major and minor releases. The modern repository has also split some language implementations into separate official repositories, such as Arrow Go, Arrow Java, Arrow Rust, Arrow JS, and Arrow ADBC, while keeping the format and C++-anchored reference libraries central.
Arrow's adoption came from becoming infrastructure inside analytics engines, databases, dataframe libraries, and file-format tooling. Its value is not usually a standalone CLI; it is the ability for systems to share columnar data without serializing through slow row-oriented or language-specific structures.
The Homebrew package exposes Parquet and Arrow-related command-line tools such as `parquet-reader`, `parquet-scan`, `parquet-dump-schema`, `parquet-dump-footer`, and `parquet-dump-arrow-statistics`. That reflects a common package-manager role for Arrow: install native libraries plus practical inspection tools for columnar data files.
Developers use Arrow through language libraries, the C++ implementation, the Arrow format, Arrow IPC, Arrow Flight RPC, and ADBC. Package users may install it directly for the CLI tools, headers, libraries, or as a dependency of higher-level analytics packages.
Arrow is especially important in build graphs that involve Parquet, dataframe runtimes, query engines, and cross-language data interchange. Its package must balance native-code performance, ABI concerns, many language bindings, and compatibility with file formats such as Parquet and CSV.
Apache Arrow is one of the canonical modern data infrastructure packages: a format spec, native library, language ecosystem, and CLI-tool bundle in one project. It is a dependency whose version can affect performance, binary compatibility, and interoperability across many data tools.
For package maintainers, Arrow is interesting because it is not a single executable. It is a multi-language, multi-component substrate whose release affects downstream Python, R, C++, Parquet, and database connectivity ecosystems.
posture de sécurité
narrow executable package without higher-risk signals.
risque vert · confiance faible · appliance
Avant une utilisation sans surveillance par un agent, vérifiez si l'outil lit des identifiants en clair, écrit un état distant, publie des artefacts ou lance des plugins.
exécutables
| Commande | Type | Exposition | Note |
|---|---|---|---|
parquet-dump-arrow-statistics | exécutable | exécutable indexé | Découvert depuis l'index local des exécutables. |
parquet-dump-footer | exécutable | exécutable indexé | Découvert depuis l'index local des exécutables. |
parquet-dump-schema | exécutable | exécutable indexé | Découvert depuis l'index local des exécutables. |
parquet-reader | exécutable | exécutable indexé | Découvert depuis l'index local des exécutables. |
parquet-scan | exécutable | exécutable indexé | Découvert depuis l'index local des exécutables. |
fraîcheur
Ces signaux séparent l'âge de génération de la page, l'activité du gestionnaire de paquets et la comparaison avec les versions amont. Un retard de version n'est signalé que lorsqu'une URL de preuve et des versions comparables sont présentes.
métadonnées d'installation
| Clé du paquet | brew:apache-arrow |
|---|---|
| Version | 25.0.0 |
| Gestionnaire de paquets | Homebrew |
| Page d'accueil | https://arrow.apache.org/ |
| Dépôt | https://github.com/apache/arrow |
| Dernière mise à jour | 2026-07-25T00:58:16Z |
| Pulse | updated |
| Bouteille | non enregistré |
| Service | aucun déclaré |
correspondances dans les bases sources
Les correspondances proviennent d’index externes de gestionnaires de paquets et restent séparées des liens de paquets Automic Vault locaux.
apache-arrow 23.0.1-r6
multi-language toolbox for accelerated data interchange and in-memory processing
sudo apk add apache-arrowapache-arrow-dev 23.0.1-r6
multi-language toolbox for accelerated data interchange and in-memory processing (development files)
sudo apk add apache-arrow-devapache-arrow-doc 23.0.1-r6
multi-language toolbox for accelerated data interchange and in-memory processing (documentation)
sudo apk add apache-arrow-docapache-arrow-gdb 23.0.1-r6
multi-language toolbox for accelerated data interchange and in-memory processing (gdb integration)
sudo apk add apache-arrow-gdblibarrow 23.0.1-r6
multi-language toolbox for accelerated data interchange and in-memory processing (libarrow library)
sudo apk add libarrowlibarrow_acero 23.0.1-r6
multi-language toolbox for accelerated data interchange and in-memory processing (libarrow_acero library)
sudo apk add libarrow_acerolibarrow_dataset 23.0.1-r6
multi-language toolbox for accelerated data interchange and in-memory processing (libarrow_dataset library)
sudo apk add libarrow_datasetlibarrow_flight 23.0.1-r6
multi-language toolbox for accelerated data interchange and in-memory processing (libarrow_flight library)
sudo apk add libarrow_flightlibparquet 23.0.1-r6
multi-language toolbox for accelerated data interchange and in-memory processing (libparquet library)
sudo apk add libparquetpy3-pyarrow 23.0.1-r6
multi-language toolbox for accelerated data interchange and in-memory processing (python module)
sudo apk add py3-pyarrowpy3-pyarrow-pyc 23.0.1-r6
Precompiled Python bytecode for py3-pyarrow
sudo apk add py3-pyarrow-pycapache-arrow 25.0.0-1.2
A development platform for in-memory data
sudo zypper install apache-arrowapache-arrow-devel 25.0.0-1.2
Development platform for in-memory data - development files
sudo zypper install apache-arrow-develapache-parquet-devel 25.0.0-1.2
Development platform for in-memory data - development files
sudo zypper install apache-parquet-develapache-parquet-utils 25.0.0-1.2
Development platform for in-memory data - development files
sudo zypper install apache-parquet-utilslibarrow2500 25.0.0-1.2
Development platform for in-memory data - shared library
sudo zypper install libarrow2500piste source
Cette page est servie par av-web depuis l'artéfact SQLite privé des paquets généré par scripts/generate-pkg-sqlite.py.
View the package source record on GitHub.