Life & fun · alternatives · 2026

24 alternatives to Azula – Lightweight GPU Accelerated Electron Alternative

Lightweight GPU accelerated HTML GUI for native JavaScript - maierfelix/azula

Azula is a lightweight framework designed as an alternative to Electron, with GPU acceleration capabilities. It enables developers to build desktop applications using web technologies. The framework targets developers… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Azula – Lightweight GPU Accelerated Electron Alternative launched in 2019; newer entries below may have overtaken it.

1AA
Alacritty, a GPU-accelerated terminal emulator written in Rust▲1,170
Initial source-only release of Alacritty
2017 · blog.jwilm.io · its alternatives →
2
Ultralight – Lightweight, Pure-GPU HTML UI Renderer for C++▲527
2018 · ultralig.ht · its alternatives →
3
HipScript – Run CUDA in the browser with WebAssembly and WebGPU▲309
CUDA is NVIDIA's language for GPU programming, allowing you to mix write CPU and GPU code in C++ in one file. By chaining a few projects that compile CUDA to OpenCL, then Vulkan, then WebGPU, you can experiment with this GPGPU language on any hardware.
2025 · hipscript.lights0123.com · its alternatives →
4
Stella Nera – Maddness Hardware Accelerator▲154
Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator - joennlae/halutmatmul
2023 · github.com · its alternatives →
5
80% faster, 50% less memory, 0% loss of accuracy Llama finetuning▲385
Hi HN! I'm just sharing a project I've been working on during the LLM Efficiency Challenge - you can now finetune Llama with QLoRA 5x faster than Huggingface's original implementation on your own local GPU. Some highlights: 1. Manual autograd engine - hand derived backprop steps. 2. QLoRA / LoRA 80% faster, 50% less memory. 3. All kernels written in OpenAI's Triton language. 4. 0% loss in accuracy - no approximation methods - all exact. 5. No change of hardware necessary. Supports NVIDIA GPUs since 2018+. CUDA 7.5+. 6. Flash Attention support via Xformers. 7. Supports 4bit and 16bit…
2023 · github.com · its alternatives →
6
Finetune LLaMA-7B on commodity GPUs using your own text▲449
I've been playing around with https://github.com/zphang/minimal-llama/ and https://github.com/tloen/alpaca-lora/blob/main/finetune.py, and wanted to create a simple UI where you can just paste text, tweak the parameters, and finetune the model quickly using a modern GPU. To prepare the data, simply separate your text with two blank lines. There's an inference tab, so you can test how the tuned model behaves. This is my first foray into the world of LLM finetuning, Python, Torch, Transformers, LoRA, PEFT, and Gradio. Enjoy!
2023 · github.com · its alternatives →
7
Ollama v0.19▲410
Massive local model speedup on Apple Silicon with MLX
Apr 2026 · ollama.com · its alternatives →
8
Parallax by Gradient▲334
Host LLMs across devices sharing GPU to make your AI go brrr
Oct 2025 · github.com · its alternatives →
9
Matrix Multiplication with Half the Multiplications▲310
Algebraic enhancements for GEMM & AI accelerators. Contribute to trevorpogue/algebraic-nnhw development by creating an account on GitHub.
2024 · github.com · its alternatives →
10
I've made a Monte-Carlo raytracer for glTF scenes in WebGPU▲131
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 →
11
XY – A Fast, composable, GPU-accelerated interactive plotting library▲136
Ultra-fast and customizable Python charts. Contribute to reflex-dev/xy development by creating an account on GitHub.
Jul 2026 · github.com · its alternatives →
12
Shadeup – A language that makes WebGPU easier▲179
2024 · shadeup.dev · its alternatives →
13
WoolyAI Acceleration Service▲100
Hi HN, We’re a small team of OS, virtualization, and ML engineers, and after three years of development, we’re thrilled to launch the beta of our CUDA abstraction layer! We decouple the Kernel Shader execution from applications that use CUDA into a Wooly Abstraction layer. In this abstraction layer, we compile these to a new binary, and Shaders are compiled into a Wooly Instruction Set. At runtime, Kernel Shader launch events initiate a transfer of Shader over the network from a CPU host to a GPU host, where they are recompiled. Their execution is managed by Wooly Server software to achieve…
2025 · woolyai.com · its alternatives →
14
Physically-Based GPU Pathtracer with Mitsuba XML Support▲63
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 →
15
Metashade – a Pythonic GPU shading/compute EDSL▲47
Superficially, it may look similar to Nvidia's Warp or OpenAI's Triton, but instead of transpiling a subset of Python to the target language, it implements dynamic codegen in pure Python. These slides discuss the existing GPU programming solutions and make a case for Metashade's approach: https://docs.google.com/presentation/d/e/2PACX-1vQtYIwXIkMnV...
2024 · github.com · its alternatives →
16
Hyperdiv – Reactive, immediate-mode web UI framework for Python▲170
Hello HN, I'm releasing Hyperdiv (https://hyperdiv.io), a framework for rapidly developing reactive browser UIs in Python, with immediate-mode syntax and using Shoelace (https://shoelace.style) as its built-in component system. This short coding video will give you a good idea of what it is: https://www.youtube.com/watch?v=4XJKfxaqvGE I wrote a brief article about the motivation and approach: https://hyperdiv.io/intro.html Hyperdiv doesn't aim to compete with serious full-stack frameworks. The core aim was to make it easy and fast to…
2024 · github.com · its alternatives →
17
A physically-based GPU ray tracer written in Julia▲198
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 →
18
High speed graphics rendering research with tinygrad/tinyJIT▲31
I saw a tweet that tinygrad is so good that you could make a graphics library that wraps tg. So I’ve been hacking on a gtinygrad, and honestly it convinced me it could be used for legit research. The JIT + tensor model ends up being a really nice way to express light transport all in simple python, so I reimplemented some new research papers from SIGGRAPH like REstir PG and SZ and it just works. instead of complicated cpp its just a 200 LOC of python.
Jan 2026 · github.com · its alternatives →
19
Run Qwen3-Next-80B on 8GB GPU at 1tok/2s throughput▲123
Contribute to Mega4alik/ollm development by creating an account on GitHub.
2025 · github.com · its alternatives →
20
micro-gl▲101
Run vector graphics on any computer (without GPU or FPU)
2023 · github.com · its alternatives →
21
AffineUI a 2 file C++ GPU/HTML5 UI that can replace Electron▲6
I thought this might be useful to C++ engineers working on games, graphics, content in C++ looking for a good lightweight html5 Electron style UI engine. AffineUI is deeply optimized and meant to run as close to 120hz as possible, but supports (most) of html5 and is easy to integrate with your app. It also is highly crash resistant using weakrefs, handles, etc. to avoid footguns. A zero-dep drop in lib that could be a cross between DearIMGUI and Electron. A full featured GPU accelerated html5 rendering engine you can drop into any C++ project with two files (cpp/h) that adds a gpu…
Jul 2026 · github.com · its alternatives →
22
GPT-2 implemented using graphics shaders▲228
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 →
23
htmgo - build simple and scalable systems with golang + htmx▲166
Hey all, I just wanted to share a project I've been working on for the past month. After years of heavy frameworks, I really like the idea of using htmx, but it’s a little too low level for me and needs a thin layer above it to facilitate things like components, better syntax with complex JS inside of an attribute, etc To try and solve this problem with a very minimal stack (golang + htmx) that I've been really enjoying, I'm building this project to cater to my needs and was thinking it would be useful for other developers.
2024 · htmgo.dev · its alternatives →
24
Timber – Ollama for classical ML models, 336x faster than Python▲207
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference. - kossisoroyce/timber
Mar 2026 · github.com · its alternatives →

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