Dev tools · alternatives · 2026
24 alternatives to GPG-fingerprint-filter-GPU – Collide GPG key fingerprints, CUDA powered
This is a tool to collide OpenPGP / GnuPG key fingerprints that follow specific pattern (e.g. ending with 8 identical digits). CUDA is required to accelerate the computation. Satisfy your vanity by getting a special key :) Initially I wrote this to learn CUDA programming, and partly to show people how easy it is to collide a short key ID - a 8-digit key fingerprint can be collided in a few seconds with my GTX 1650. Recently I found some similar tools on GitHub (keyword: vanity key) but it seems that only mine takes advantage of CUDA / GPU. My friends has used it to generate an…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. GPG-fingerprint-filter-GPU – Collide GPG key fingerprints, CUDA powered launched in 2022; newer entries below may have overtaken it.
- 1VG
2015 · vanitykeys.io · its alternatives →
- 2GA
2016 · erkaman.github.io · its alternatives →
- 3
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
GpgFrontend▲87Take the initiative to protect privacy in your own hands
2021 · github.com · its alternatives →
- 5
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 →
- 6
A pipeline that translates Rust GPU code into formal Coq models, as a foundation for memory model proofs - neelsomani/vericuda
2025 · github.com · its alternatives →
- 7
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 →
- 8
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 →
- 9
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 →
- 10
- 11
## Auto-archived due to inactivity. ## YubiKey at Datadog - DataDog/yubikey
2019 · github.com · its alternatives →
- 12
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 →
- 13
Stop bots, fraud, and abuse with industry-leading accuracy
2024 · stytch.com · its alternatives →
- 14
GPU Raytracer from scratch in C++/CUDA. Contribute to jan-van-bergen/GPU-Raytracer development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 15
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 →
- 16AG
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 →
- 17
A simple GPU hash table implemented in CUDA using lock free techniques - nosferalatu/SimpleGPUHashTable
2020 · github.com · its alternatives →
- 18
RightNow CLI▲121I locked in for 18 hours and built Claude Code for CUDA. It is completely open source! It writes CUDA kernels, debugs memory issues, and optimizes for your specific GPU. It is a fully agentic AI with tool calling built specifically for the CUDA toolkit This is the CLI version of RightNow AI code editor, our GPU-native code editor with a built-in emulator, visual profiling, and remote GPU access. The CLI is open source, lightweight, and fast. It is designed for anyone who wants AI help with CUDA without setup I used Python because it is the most common language, so anyone can build on top of…
2025 · github.com · its alternatives →
- 19
Population based metaheuristic for password cracking. Siga(Simple genetic algorithm) - lyle-nel/siga
2016 · github.com · its alternatives →
- 20
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 →
- 21AS
- 22
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 →
- 23
An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack
2016 · github.com · its alternatives →
- 24
Janus is a API router for AI models written in Go and has a Vulkan Model runner - Vibra-Ingenn/Janus
22d ago · github.com · its alternatives →
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- GPU-Accelerated Digit Recognition with WebGL alternatives
- HipScript – Run CUDA in the browser with WebAssembly and WebGPU alternatives
- GpgFrontend alternatives
- I've made a Monte-Carlo raytracer for glTF scenes in WebGPU alternatives
- Cuq – Formal Verification of Rust GPU Kernels 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 →