Homebrew Cask
A CLI workflow for the administration of macOS applications distributed as binaries. Homebrew Cask extends Homebrew and brings its elegance, simplicity, and speed to the installation and management of GUI macOS applications such as Atom and Google Chrome. We do this by providing a friendly CLI workflow for the administration of macOS applications distributed as binaries. To start using Homebrew Cask, you just need Homebrew installed. Homebrew Cask installs macOS apps, fonts and plugins, and other non-open source software. Homebrew Cask is implemented as part of Homebrew. All Homebrew Cask commands begin with brew, which works for both Casks and Formulae. The command brew install accepts one or multiple Cask tokens. Homebrew Cask comes with bash and zsh completion for the brew command. Since the Homebrew Cask repository is a Homebrew Tap, you’ll pull down the latest Casks every time you issue the regular Homebrew command brew update.
Learn more
Cargo
Cargo is the Rust package manager. Cargo downloads your Rust package's dependencies, compiles your packages, makes distributable packages, and uploads them to crates.io, the Rust community’s package registry. You can contribute to this book on GitHub. To get started with Cargo, install Cargo (and Rust) and set up your first crate. The commands will let you interact with Cargo using its command-line interface. A Rust crate is either a library or an executable program, referred to as either a library crate or a binary crate, respectively. Loosely, the term crate may refer to either the source code of the target or to the compiled artifact that the target produces. It may also refer to a compressed package fetched from a registry. Your crates can depend on other libraries from crates.io or other registries, git repositories, or subdirectories on your local file system. You can also temporarily override the location of a dependency.
Learn more
PyPI
PyPI is the official repository for Python software packages, hosting hundreds of thousands of projects that developers can publish and users can discover and install. It supports both source distributions (“sdists”) and pre-built binary “wheels”, allowing packages to include native extensions for different platforms. Projects on PyPI consist of multiple releases, each of which can include various files for different operating systems or Python versions. Metadata for each package includes things like version number, dependencies, licensing, classifiers, description (including rendering Markdown or reStructuredText), and other information that tools like pip use to resolve, download, and install the correct package. PyPI provides search and filtering based on package metadata, letting users find what they need via keywords, compatibility, or other package attributes.
Learn more
Posit
Posit builds tools that help data scientists work more efficiently, collaborate seamlessly, and share insights securely across their organizations. Its Positron code editor provides the speed of an interactive console combined with the power to build, debug, and deploy data-science workflows in Python and R. Posit’s platform enables teams to scale open-source data science, offering enterprise-ready capabilities for publishing, sharing, and operationalizing applications. Companies rely on Posit’s secure infrastructure to host Shiny apps, dashboards, APIs, and analytical reports with confidence. Whether using open-source packages or cloud-based solutions, Posit supports reproducible, high-quality work at every stage of the data lifecycle. Trusted by millions of users—and more than half of the Fortune 100—Posit empowers professionals across industries to innovate with data.
Learn more