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gfx-rs is a low-level, cross-platform graphics and compute abstraction library in Rust. It consists of the following components:
gfx-halwhich is gfx's hardware abstraction layer: a Vulkan-ic mostly unsafe API which translates to native graphics backends.gfx-backend-*which contains graphics backends for various platforms:- Vulkan (runs on Linux, Windows, and Android)
- DirectX 12 and DirectX 11
- Metal (runs on macOS and iOS)
- OpenGL ES3 (runs on Linux/BSD, Android, and WASM/WebGL2)
gfx-wardenwhich is a data-driven reference test framework, used to verify consistency across all graphics backends.
gfx-rs is hard to use, it's recommended for performance-sensitive libraries and engines. If that's not your domain, take a look at wgpu-rs for a safe and simple alternative.
This repository was originally home to the gfx crate, which is now deprecated. You can find the latest versions of the code for that crate in the pre-ll branch of this repository.
The master branch of this repository is now focused on developing gfx-hal and its associated backend and helper libraries, as described above. gfx-hal is a complete rewrite of gfx, but it is not necessarily the direct successor to gfx. Instead, it serves a different purpose than the original gfx crate, by being "lower level" than the original. Hence, the name of gfx-hal was originally ll, which stands for "lower level", and the original gfx is now referred to as pre-ll.
The spiritual successor to the original gfx is actually wgpu, which stands on a similar level of abstraction to the old gfx crate, but with a modernized API that is more fit for being used over Vulkan/DX12/Metal. If you want something similar to the old gfx crate that is being actively developed, wgpu is probably what you're looking for, rather than gfx-hal.
To run an example, simply cd to the examples directory, then use cargo run with --features {backend} to specify the backend (where {backend} is either vulkan, dx12, dx11, metal, or gl). For example:
# Clone the gfx repository
git clone https://github.com/gfx-rs/gfx
# Change directory to `examples`
cd gfx/examples
# Vulkan
cargo run --bin quad --features vulkan
# Metal (macOS/iOS)
cargo run --bin quad --features metal
# DirectX12 (Windows)
cargo run --bin compute --features dx12 1 2 3 4This runs the quad example using the Vulkan backend, and then the compute example using the DirectX 12 backend.
These examples assume that necessary dependencies for the graphics backend are already installed. For more information about installation and usage, refer to the Getting Started guide.
The Hardware Abstraction Layer (HAL), is a thin, low-level graphics and compute layer which translates API calls to various backends, which allows for cross-platform support. The API of this layer is based on the Vulkan API, adapted to be more Rust-friendly.
Currently HAL has backends for Vulkan, DirectX 12/11, Metal, and OpenGL/OpenGL ES/WebGL.
The HAL layer is consumed directly by user applications or libraries. HAL is also used in efforts such as gfx-portability.
The code in master is a complete low-level rewrite of gfx based on HAL as described above.
The previously released crates (gfx_core, gfx, gfx_device_*, gfx_window_) are still being developed and published from the pre-ll (pre-low level rewrite) branch.
We are actively looking for new contributors and aim to be welcoming and helpful to anyone that is interested! We know the code base can be a bit intimidating in size and depth at first, and to this end we have a label on the issue tracker which marks issues that are new contributor friendly and have some basic direction for completion in the issue comments. If you have any questions about any of these issues (or any other issues) you may want to work on, please comment on GitHub and/or drop a message in our Matrix chat!
This repository is licensed under either of
- Apache License, Version 2.0, (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
- MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)
at your option.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.