Dev tools · alternatives · 2026

24 alternatives to wc-GPU: The Unix util `wc` running on a GPU

The unix util `wc` running on a GPU. Contribute to fragmede/wc-gpu development by creating an account on GitHub.

wc-GPU is a GPU-accelerated version of the Unix `wc` utility, which counts lines, words, and characters in files. It's designed for users who need to process large text files and want to leverage GPU computing for… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. wc-GPU: The Unix util `wc` running on a GPU launched in 2024; newer entries below may have overtaken it.

1. 1
   ChartGPU – WebGPU-powered charting library (1M points at 60fps)▲670

   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 →

2. 2
   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 →

3. 3
   Parsing CSV files with GPU▲123

   Fast, gpu-based CSV parser. Contribute to antonmks/nvParse development by creating an account on GitHub.

   2015 · github.com · its alternatives →

4. 4
   Utilyze – an open source GPU monitoring tool more accurate than nvtop▲128

   The standard GPU utilization metric reported by nvidia-smi, nvtop, Weights & Biases, Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor is highly misleading. It reports the fraction of time that any kernel is running on the GPU, which means a GPU can report 100% utilization even if only a small portion of its compute capacity is actually being used. In practice, we've seen workloads with ~1–10% real compute throughput while dashboards show 100%. This becomes a problem when teams rely on that metric for capacity planning or optimization decisions, it can make underutilized systems…

   Apr 2026 · systalyze.com · its alternatives →

5. 5
   cuTile Rust: Safe, data-race-free GPU kernels in Rust▲106

   cuTile Rust provides a safe, tile-based kernel programming DSL for the Rust programming language. It features a safe host-side API for passing tensors to asynchronously executed kernel functions. - NVlabs/cutile-rs

   Jun 2026 · github.com · its alternatives →

6. 6
   Richard – A CNN written in C++ and Vulkan (no ML or math libs)▲184

   This started out as a personal effort to learn more about machine learning. It's currently a CLI app where you give it a JSON file specifying your network architecture and hyperparameters and point it to your training data, then invoke it again in 'eval' mode with some data it's not seen before and it will try to classify each sample. I don't see many other people using Vulkan for GPGPU, and there may be many good reasons for that, but I wanted to try something a bit different. I've made every attempt to make the code very clean and readable and I've written up the math in…

   2024 · github.com · its alternatives →

7. 7
   Attaching to a virtual GPU over TCP▲344

   We developed a tool to trick your computer into thinking it’s attached to a GPU which actually sits across a network. This allows you to switch the number or type of GPUs you’re using with a single command.

   2024 · thundercompute.com · its alternatives →

8. 8GA
   GPU-Accelerated Digit Recognition with WebGL▲135

   2016 · erkaman.github.io · its alternatives →

9. 9
   Shadeup – A language that makes WebGPU easier▲179

   2024 · shadeup.dev · its alternatives →

10. 10
    Run – a CLI universal code runner I built while learning Rust▲96

    Hi HN — I’m learning Rust and decided to build a universal CLI for running code in many languages. The tool, Run, aims to be a single, minimal dependency utility for: running one-off snippets (from CLI flags), running files, reading and executing piped stdin, and providing language-specific REPLs that you can switch between interactively. I designed it to support both interpreted languages (Python, JS, Ruby, etc.) and compiled languages (Rust, Go, C/C++). It detects languages from flags or file extensions, can compile temporary files for compiled languages, and exposes a unified REPL…

    2025 · github.com · its alternatives →

11. 11
    crunr ▲106

    Launch and run any compute job on AWS with 1 command

    May 2026 · crunr.com · its alternatives →

12. 12AS
    A Simple GPU Hash Table▲119

    A Simple GPU Hash Table

    2020 · nosferalatu.com · its alternatives →

13. 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. 14AG
    A GPU-accelerated binary vector index▲65

    This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.

    2025 · rlafuente.com · its alternatives →

15. 15
    A fast CLI and MCP server for managing Lambda cloud GPU instances▲24

    I built an unofficial CLI and MCP server for Lambda cloud GPU instances. The main idea: your AI agents can now spin up and manage Lambda GPUs for you. The MCP server exposes tools to find, launch, and terminate instances. Add it to Claude Code, Cursor, or any agent with one command and you can say things like "launch an H100, ssh in, and run big_job.py" Other features: - Notifications via Slack, Discord, or Telegram when instances are SSH-ready - 1Password support for API keys - Also includes a standalone CLI with the same functionality Written in Rust. MIT licensed. Note: This is an…

    Jan 2026 · github.com · its alternatives →

16. 16
    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 →

17. 17
    A simple scheduler for running jobs on GPUs▲60

    Simple scheduler for running jobs on GPUs. Contribute to ExpectationMax/simple_gpu_scheduler development by creating an account on GitHub.

    2019 · github.com · its alternatives →

18. 18
    An Easy Library for GPGPU in JavaScript (Mobile and Web)▲15

    turbo.js - perform massive parallel computations in your browser with GPGPU. - turbo/js

    2016 · github.com · its alternatives →

19. 19WA
    wcp – a reimplementation of cp using io_uring. With a nice progress bar▲32

    2021 · wheybags.com · its alternatives →

20. 20
    a Rust ray tracer that runs on any GPU – even in the browser▲95

    I’ve been experimenting with Rust lately and wanted a project that would help me explore some of its lower-level and performance-oriented features. Inspired by Sebastian Lague’s videos, I decided to implement my own ray tracer from scratch. The initial goal was just to render a simple 3D scene in the browser at a reasonable frame rate. It evolved into a small renderer that can: • Run locally or on the web using wgpu and WebAssembly • Perform mesh rendering with a Bounding Volume Hierarchy (BVH) for acceleration • Simulate both direct and indirect illumination for photorealistic results • Be…

    Nov 2025 · github.com · its alternatives →

21. 21
    L9gpu – GPU telemetry that ties each GPU to the K8s pod or Slurm job▲20

    GPU Observability with workload attribution. One OTLP agent per node ties hardware metrics (NVIDIA, AMD, Intel Gaudi) to the K8s pod or Slurm job burning the GPU. - last9/gpu-telemetry

    Jul 2026 · github.com · its alternatives →

22. 22
    Eyot, A programming language where the GPU is just another thread▲79

    Mar 2026 · cowleyforniastudios.com · its alternatives →

23. 23
    A Minimal Code Example of Using Vulkan for Computations on the GPU▲68

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

    2017 · github.com · its alternatives →

24. 24
    Rgpu – a PyTorch device whose tensors live on a remote GPU▲57

    Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation. - ymcrcat/rgpu

    16d ago · github.com · its alternatives →

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →