glfw
SPH-Fluid-Simulation
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| glfw | SPH-Fluid-Simulation | |
|---|---|---|
| 3 | 2 | |
| 1,505 | 23 | |
| 1.2% | - | |
| 6.7 | 4.1 | |
| about 1 month ago | 6 months ago | |
| C | C | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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glfw
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Understand how to use C libraries in Go, with CGO
And this is how https://github.com/go-gst/go-gst, https://github.com/go-gl/glfw, and even https://fyne.io/ are using system libraries to propose a lot of functionalities.
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3D graphics library
I'm looking for something that's relatively low-level (not a game engine) but preferably abstracts some of the boilerplate away and is cross-platform. Something like go-bgfx would have been perfect for me, but it has been long abandoned. The only real remaining option appears to be the glfw-bindings go-gl/glfw. Otherwise, I could make use of cgo to wrap some c/c++ code myself. I'm somewhat hesitant to go with glfw, because openGL isn't supported on all platforms (but realistically, I'm not going to publish anything that needs to go on mobile), and doesn't support raytracing, which I eventually want to mess around with too.
- What libraries would allow drawing windowless overlays?
SPH-Fluid-Simulation
What are some alternatives?
gl - Go bindings for OpenGL (generated via glow)
SPlisHSPlasH - SPlisHSPlasH is an open-source library for the physically-based simulation of fluids.
mathgl - A pure Go 3D math library.
gaseous-giganticus - This program procedurally generates gas giant cubemap textures for the game Space Nerds In Space. https://www.patreon.com/smcameron
goxjs/gl - Go cross-platform OpenGL bindings.
GLFW-OCaml - A GLFW binding for OCaml.
goxjs/glfw - Go cross-platform glfw library for creating an OpenGL context and receiving events.
ifavif - AVIF Susie plugin
go-wlroots - Go binding for wlroots
SWIFT - Modern astrophysics and cosmology particle-based code. Mirror of gitlab developments at https://gitlab.cosma.dur.ac.uk/swift/swiftsim
fauxgl - Software-only 3D renderer written in Go.
SPH-Fluid-Simulation - Smoothed Particle Hydrodynamics implementation with Python