Orchard
brew install --cask orchard
v1.12.2
Native GUI for Apple Containers
138
30-day installs · #1166
580
90-day · #936
580
365-day · #1972
478
★ GitHub stars · updated 2mo ago
GitHub topics
apple
containerization
containers
swift
wwdc25
Links
- https://github.com/andrew-waters/orchard
- GitHub: andrew-waters/orchard
- Brew formula source: Casks/o/orchard.rb
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"github_readme_excerpt": "\n\nOrchard is a native (Swift) macOS application for managing containers using Apple\u0027s [container](https://github.com/apple/container) tooling.\n\nIt gives you a desktop experience that complements the `container` command-line interface.\n\n---\n\nQuickstart ([or other install options](#installation)):\n\n```bash\nbrew install orchard\n```\n\n---\n\n- [Highlights of Containers](#highlights-of-containers)\n- [Features](#features)\n- [Requirements](#requirements)\n- [Architecture](#architecture)\n- [Installation](#installation)\n - [Homebrew](#homebrew)\n - [Release download](#release-download)\n - [Build from Source](#build-from-source)\n- [License](#license)\n\n\n\n## Highlights of Containers\n\n- Made by Apple: Native support, incredible performance and the engineering resources to make it work.\n- Sub second startup times\n- Kernel isolation by design\n- Easier networking - no more port mapping (every container gets its own IP address), networks out of the box\n\n## Features\n\n- Container management: create, start, stop, force stop, delete\n- Image management: pull, delete, search Docker Hub\n- Network and DNS domain management\n- Real-time container stats with sortable columns\n- Sortable container and image lists with persistent preferences\n- Multi-container log viewer with split panes, filtering, and per-container colour coding\n- Container log viewer with search highlighting\n- Builder, kernel and system property management\n- Menu bar integration\n\n\n\nBrowse, pull, and delete container images. Search Docker Hub directly from the app and inspect image metadata without dropping to the CLI.\n\n\n\nStream logs from multiple containers side by side. Split panes, filter by text, and use per-container colour coding to keep output readable when debugging across services.\n\n\n\nMonitor live CPU, memory, and networ",
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