macOS
brew install docker-machine-driver-vmwarelocal Homebrew formula metadata
brew
Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de docker-machine-driver-vmware pour les workflows d'agents IA.
installation
brew install docker-machine-driver-vmwarelocal Homebrew formula metadata
aperçu
VMware Fusion & Workstation docker-machine driver
historique
Docker Machine VMware Driver is an external docker-machine driver for provisioning local Docker hosts on VMware Fusion and VMware Workstation. Its niche is making the docker-machine workflow work across both VMware desktop products instead of only the built-in vmwarefusion driver.
The README frames the driver as a Docker Machine plugin for creating machines on VMware Fusion and Workstation. It explicitly distinguishes itself from Docker Machine's built-in vmwarefusion driver: the external vmware driver also supports VMware Workstation, while vmwarefusion is limited to VMware Fusion.
The project documents installation from GitHub releases, Homebrew, and Go source. That suggests adoption mostly by macOS and workstation users who still relied on Docker Machine's VM-driver model after Docker Desktop and other local-container workflows became more common.
The normal workflow is docker-machine create --driver=vmware default, with options for boot2docker images, configdrive cloud-init, CPU count, disk size, memory, network type, shared-folder behavior, SSH user/password, and IP wait time. It requires VMware Workstation 14 or VMware Fusion 10 or newer as the supported host virtualization layer.
This package is a good example of the Docker Machine driver plugin ecosystem: a single binary on PATH extends docker-machine with a provider-specific backend. For Homebrew users, it kept an otherwise manual driver install reproducible and upgradeable.
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 |
|---|---|---|---|
docker-machine-driver-vmware | cli | exécutable global |
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.
https://github.com/machine-drivers/docker-machine-driver-vmware
métadonnées d'installation
| Clé du paquet | brew:docker-machine-driver-vmware |
|---|---|
| Version | 0.1.5 |
| Gestionnaire de paquets | Homebrew |
| Page du gestionnaire de paquets | https://formulae.brew.sh/formula/docker-machine-driver-vmware |
| Page d'accueil | https://www.vmware.com/products/personal-desktop-virtualization.html |
| Dépôt | https://github.com/machine-drivers/docker-machine-driver-vmware |
| Docs amont | https://github.com/machine-drivers/docker-machine-driver-vmware#readme |
| Licence | Apache-2.0 |
| Archive source | https://github.com/machine-drivers/docker-machine-driver-vmware.git |
| Dernière mise à jour | 2026-07-01T11:07:34+02:00 |
| Pulse | updated |
| Dépendances | docker-machine |
| Dépendances de compilation | go |
| Bouteille | disponible (sur arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura, x86_64_linux) |
| post-install Homebrew | non défini |
| Service | aucun déclaré |
faits du registre
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | docker-machine-driver-vmware |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | yes |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
piste 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.