A curated list of wgpu code, resources, and projects for graphics and game development in Rust.
Awesome wgpu is a comprehensive, community-maintained collection of resources related to the wgpu graphics API. It serves as a central hub for developers exploring portable, safe GPU programming in Rust, providing links to learning materials, libraries, games, and tools built with or for wgpu.
Rust developers interested in GPU programming, particularly those building 2D/3D graphics applications, games, or tools that require cross-platform compatibility and safety.
It aggregates curated tutorials, examples, and project showcases to accelerate learning and development with wgpu, offering a well-organized overview of the Rust graphics ecosystem that lowers the barrier to entry for GPU programming.
A curated list of wgpu code and resources.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Aggregates a wide range of tutorials, examples, and libraries, as shown in the README with links to learn-wgpu guides and projects like pixels and iced, accelerating discovery and learning.
Maps the Rust graphics stack from low-level APIs to high-level engines, clarifying wgpu's role, evidenced by the 'Ecosystem' section listing gfx-hal, rendy, and engines like ggez.
Actively maintained with PRs welcome and includes community insights, such as Reddit discussions and rationale on graphics APIs, fostering collaborative learning.
Features real-world games and applications like vange-rs and rx editor, demonstrating wgpu's use in 2D/3D rendering and tools, providing inspiration and proof of concept.
As a static list, it relies on external sources that may become outdated or broken, e.g., some linked projects use older wgpu versions like coffee based on wgpu 0.2.
Lacks tutorials or documentation created by the project itself; users must navigate external sites, which can vary in quality and require additional verification.
Curated but not rigorously vetted for accuracy or compatibility, as seen with mixed references to older or experimental resources, risking user confusion.