A Swift package that builds Raylib from source, enabling easy game development in Swift without external library management.
Raylib for Swift is a Swift package that provides seamless access to the Raylib game development library. It leverages Swift's C interoperability to build Raylib directly from source, eliminating the need for manual library setup and allowing developers to focus on creating games.
Swift developers interested in game development, particularly those looking for a lightweight, cross-platform framework without complex setup.
Developers choose this package for its source-based build that automates Raylib compilation, its idiomatic Swift API design that enhances developer ergonomics, and its cross-platform compatibility with minimal configuration.
A Swift package for Raylib. Builds Raylib from source so no need to fiddle with libraries. Just add as a dependency in you game package and go!
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Builds Raylib directly from source upon dependency addition, eliminating the need for manual library setup across Windows, macOS, and Linux, as highlighted in the README.
Transforms Raylib's C-style global functions into static members of a `Raylib` type, providing a more native Swift coding experience that enhances developer ergonomics.
Adds Swift-friendly constructors, such as for the `Image` type with a color-based initializer, improving API discoverability and reducing boilerplate code.
Supports Windows, macOS, and Linux with minimal configuration, leveraging Swift's portability and Raylib's multi-platform capabilities for seamless development.
Requires using the master branch in Package.swift due to build flag limitations, preventing version locking and exposing projects to potential unstable or breaking changes, as admitted in the README.
The goal to move all functions to respective types is ongoing, leading to a mixed API that may confuse developers expecting full Swift idiomaticity and consistency.
Beyond basic setup examples, the README lacks in-depth tutorials or best practices for complex game development tasks, which could hinder onboarding and advanced usage.