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... are changed by explicit calls to vcpkg install or vcpkg remove. The installed tree is intended for consumption by any number of projects: for example, installing a bunch of libraries and then using those libraries from Visual Studio, without additional configuration. Because the installed tree is not associated with an individual project, it's similar to tools like brew or apt, except that the installed tree is vcpkg-installation-local, rather than global to a system or user.

... dependencies for your Xcode projects. The dependencies for your projects are specified in a single text file called a Podfile. CocoaPods will resolve dependencies between libraries, fetch the resulting source code, then link it together in an Xcode workspace to build your project. Ultimately the goal is to improve discoverability of, and engagement in, third party open-source libraries by creating a more centralised ecosystem.

Maven is a project development management and comprehension tool. Based on the concept of a project object model: builds, dependency management, documentation creation, site publication, and distribution publication are all controlled from the pom.xml declarative file. Maven can be extended by plugins to utilize a number of other development tools for reporting or the build process.

... dependencies in the Cartfile. Once you have Carthage installed, you can begin adding frameworks to your project. Note that Carthage only supports dynamic frameworks, which are only available on iOS 8 or later (or any version of OS X). We encourage using XCFrameworks as of version 0.37.0 (January 2021), and require XCFrameworks when building on an Apple Silicon Mac. Switching from discrete framework bundles to XCFrameworks requires a few changes to your project.

... version (read more). You have no control over this process. Paket on the other hand maintains this information on a consistent and stable basis within the paket.lock file in the solution root. This file, together with the paket.dependencies file enables you to determine exactly what's happening with your dependencies.

... information from a central repository. At its current version, einstein is prepared to communicate to any Gitlab instance, through its api, so it assumes that declared dependencies represents projects that are all stored in a single Gitlab instance. In order to establish a successful connection to the Gitlab Api, it's necessary to create the environment variables on the machine where einstein will be executed.