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Life & fun · alternatives · 2026

24 alternatives to Particle Simulation with OpenGL compute shader – 8M particles

Particle accelleration with OpenGL 4.3, using the compute shader to calculate particle movement on graphics hardware. - MauriceGit/Partikel_accelleration_on_GPU

This project demonstrates particle simulation using OpenGL 4.3 compute shaders to calculate the movement of up to 8 million particles directly on graphics hardware. Designed for developers interested in GPU… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Particle Simulation with OpenGL compute shader – 8M particles launched in 2016; newer entries below may have overtaken it.

  1. 1

    This is a small particles simulation that can run either with WebGPU (GPU Compute) or with the CPU, and it can be changed in real time

    2023 · github.com · its alternatives →

  2. 2

    Creator here. I built ChartGPU because I kept hitting the same wall: charting libraries that claim to be "fast" but choke past 100K data points. The core insight: Canvas2D is fundamentally CPU-bound. Even WebGL chart libraries still do most computation on the CPU. So I moved everything to the GPU via WebGPU: - LTTB downsampling runs as a compute shader - Hit-testing for tooltips/hover is GPU-accelerated - Rendering uses instanced draws (one draw call per series) The result: 1M points at 60fps with smooth zoom/pan. Live demo:…

    Jan 2026 · github.com · its alternatives →

  3. 3

    Had some fun with shared array buffers over many months of free time. Skip to the end to play around with the final app. Open to ideas on how to simulate more whilst staying in js land.

    2024 · dgerrells.com · its alternatives →

  4. 4

    This is a GPU "software" raytracer (i.e. using manual ray-scene intersections and not RTX) written using the WebGPU API that renders glTF scenes. It supports many materials, textures, material & normal mapping, and heavily relies on multiple importance sampling to speed up convergence.

    2024 · github.com · its alternatives →

  5. 5

    Back in the old days, people used to do general-purpose GPU programming by using shaders like GLSL. This is what inspired NVIDIA (and other companies) to eventually create CUDA (and friends). This is an implementation of GPT-2 using WebGL and shaders. Enjoy!

    2025 · github.com · its alternatives →

  6. 6OI

    Things orbital and not.

    2016 · orbides.org · its alternatives →

  7. 7

    Hello HN! We’re a small creative studio specializing in real-time 3D experiences. Netlify approached us to design and build an interactive experience to celebrate reaching 5 million developers. Inspired by the classic game Marble Madness, we created a gamified experience where users control a ball through playful, interactive levels. The goal was to blend marketing content with the look and feel of a game to engage users. The app is built with Three.js [1], using our custom render pipeline and shaders, and uses Rapier for physics simulation [2]. The 2D content is overlaid on the WebGL view…

    2024 · 5-million-devs.netlify.com · its alternatives →

  8. 8RT
  9. 9

    We added a new feature to our open-source HTML5 game engine today that allows you to create Sprite GPU Layers. These pack together simple JS object definitions onto the GPU and renders them using a custom vertex shader. This skips all CPU computation and GPU upload operations, resulting in vastly increased performance. For objects that don't need to be updated by input, physics, or other interactive behaviors, we found it to be a great solution. In testing, we've easily managed to blast millions of sprites around on moderate desktop-grade GPUs. Indeed, we hit the fill rate limitation of the…

    2025 · phaser.io · its alternatives →

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  11. 11

    Contribute to Mega4alik/ollm development by creating an account on GitHub.

    2025 · github.com · its alternatives →

  12. 12

    We ported pbrt-v4 to Julia and built it into a Makie backend. Any Makie plot can now be rendered with physically-based path tracing. Julia compiles user-defined physics directly into GPU kernels, so anyone can extend the ray tracer with new materials and media - a black hole with gravitational lensing is ~200 lines of Julia. Runs on AMD, NVIDIA, and CPU via KernelAbstractions.jl, with Metal coming soon. Demo scenes: github.com/SimonDanisch/RayDemo

    Feb 2026 · makie.org · its alternatives →

  13. 13

    Greetings HN! This is Doruk from Oblivus, and I'm excited to announce the launch of our platform, Oblivus Cloud. After more than a year of beta testing, we're excited to offer you a platform where you can deploy affordable and scalable GPU virtual machines in as little as 30 seconds! https://oblivus.com/cloud - What sets Oblivus Cloud apart? At the start of our journey, we had two primary goals in mind: to democratize High-Performance Computing and make it as straightforward as possible. We understand that maintaining GPU servers through major cloud service providers can be…

    2023 · oblivus.com · its alternatives →

  14. 14

    Browse and share GPU-made GIFs. Explore GLSL shader experiments, search by topic, and open any piece in the editor to learn or remix.

    2018 · shadergif.com · its alternatives →

  15. 15

    CPU & GPU with Zero Hassle Built with NVIDIA Warp, the same code runs seamlessly on both CPU and GPU — no need to deal with CUDA setup, driver issues, or device-specific kernels. Just flip one config line. Learn Modern Graphics the Easy Way Explore core concepts in differentiable rendering and parallel graphics programming — no need for expensive GPUs or thousands of lines of boilerplate. Minimalist & Educational This isn’t another massive codebase. It’s a clean, hackable implementation built for clarity — perfect for study, prototyping, or teaching yourself how Gaussian Splatting works.

    2025 · github.com · its alternatives →

  16. 16

    Demo of agent based model on GPU with CUDA and OpenGL (Windows/Linux) Agent instances on GPU memory Uses SSBO for instanced objects (with GLSL 450 shaders) CUDA OpenGL interops Renders with GLFW3 window manager Dynamic camera views in OpenGL (pan,zoom with mouse) Libraries installed using vcpkg (https://github.com/KienTTran/ABMGPU)

    2023 · github.com · its alternatives →

  17. 17TC

    Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…

    2022 · tensordock.com · its alternatives →

  18. 18

    Create flowing particle animations out of any image (FOSS)

    2025 · collidingscopes.github.io · its alternatives →

  19. 19AA

    Find information, resources and relevant links for fofpx.com. This domain may be for sale.

    2020 · fofpx.com · its alternatives →

  20. 20
    micro-gl▲101

    Run vector graphics on any computer (without GPU or FPU)

    2023 · github.com · its alternatives →

  21. 21

    Minimal Example of Using Vulkan for Compute Operations. Only ~400LOC. - Erkaman/vulkan_minimal_compute

    2017 · github.com · its alternatives →

  22. 22EW
  23. 23

    GPU Raytracer from scratch in C++/CUDA. Contribute to jan-van-bergen/GPU-Raytracer development by creating an account on GitHub.

    2021 · github.com · its alternatives →

  24. 24

    A very simple example of how shaders in OpenGL can be used, to color Objects or map a texture on some triangles. - MauriceGit/Simple_GLSL_Shader_Example

    2016 · github.com · its alternatives →

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