Dev tools · alternatives · 2026

CUDA, Shmuda is a port of Alphafold3 optimized for Apple Silicon Macs, enabling users to generate protein structures from amino acid sequences in minutes without requiring high-performance computing clusters. Designed… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1. 1
   An open-source implementation of AlphaFold3▲314

   Hi HN - we’re the founders of Ligo Biosciences and are excited to share an open-source implementation of AlphaFold3, the frontier model for protein structure prediction. Google DeepMind and their new startup Isomorphic Labs, are expanding into drug discovery. They developed AlphaFold3 as their model to accelerate drug discovery and create demand from big pharma. They already signed Novartis and Eli Lilly for $3 billion - Google’s becoming a pharma company! (https://www.isomorphiclabs.com/articles/isomorphic-labs-kick...) AlphaFold3 is a biomolecular structure prediction…

   2024 · github.com · its alternatives →

2. 2
   Run TRELLIS.2 Image-to-3D generation natively on Apple Silicon▲202

   I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…

   Apr 2026 · github.com · its alternatives →

3. 3
   Ollama v0.19▲410

   Massive local model speedup on Apple Silicon with MLX

   Apr 2026 · ollama.com · its alternatives →

4. 4
   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 →

5. 5
   AlphaFold 3▲161

   Predicting the structure & interactions of life’s molecules

   2024 · blog.google · its alternatives →

6. 6
   Fructose – LLM calls as strongly typed functions▲218

   Hi HN! Erik here from Banana (formerly the serverless GPU platform), excited to show you what we’ve been working on next: Fructose Fructose is a python package to call LLMs as strongly typed functions. It uses function type signatures to guide the generation and guarantee a correctly typed output, in whatever basic/complex python datatype requested. By guaranteeing output structure, we believe this will enable more complex applications to be built, interweaving code with LLMs with code. For now, we’ve shipped Fructose as a client-only library simply calling gpt-4 (by default) with json…

   2024 · github.com · its alternatives →

7. 7
   A hash array-mapped trie implementation in C▲171

   Long-simmering side project that is finally ready to see the light. HAMTs are a cool persistent data structure and implementing one has been a lot of fun. Beyond the code, there is likely some value in the extensive and largely complete implementation docs; basic benchmarks are linked in the README, too. Kind of aiming to be "the libavl for HAMTs". That is obviously a high and aspirational bar but a distinct possibility if it stirs up a little interest and/or contribution. Anyways, it's time for this to go out, collect feedback and maybe even some use outside of toy projects. Let me…

   2023 · github.com · its alternatives →

8. 8
   I built a tensor library from scratch in C++/CUDA▲119

   Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…

   2025 · github.com · its alternatives →

9. 9
   Open-source protein and ligand viewer▲32

   I just published an open-source protein and ligand viewer. Goal: fast and easy-to-use. Long-term: It's a platform for docking and molecular dynamics. The basic functionality for viewing and inspecting work. I'm currently working on Coot-like electron-density viewing. I'm gradually splitting it into standalone libs, published to crates.io. Some are up already, others are integrated, and will be split off when sufficiently mature and decoupled. Uses parallel execution when able, through thread pools (Rayon), CPU SIMD and Cuda. The default control scheme is non-standard, unless you play video…

   2025 · github.com · its alternatives →

10. 10
    PlasCAD: Open-source plasmid editor▲101

    Hey! This is an open source plasmid and vector (Short, often circular segments of DNA) editor, with features related to primer quality checks, PCR cloning, and protein analysis. I plan to add more restriction-enzyme-based features in the near future. It has some extras like a solution-mixing helper, automatic feature annotation. From a technical standpoint, this is a standalone binary written using the EGUI library in rust. A project goal is performance, with small memory footprint, and small application and file sizes. This is a continuous work-in-progress, and I'm open to any and all…

    2024 · github.com · its alternatives →

11. 11
    Apple MLX▲138

    An array framework for machine learning on Apple silicon

    2023 · pypi.org · its alternatives →

12. 12
    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 →

13. 13
    A Fast, Malloc-Free C++14 Json Parser and Encoder▲98

    Meta programming utilities for C++14. Merged in matt-42/lithium - matt-42/iod

    2014 · github.com · its alternatives →

14. 14
    Embedding Atlas▲150

    Hey HN, we're happy to release Mycelium, a JavaScript library for creating graph visualizations of machine learning models or any other directed acyclic graphs. Mycelium powers the graph viewer of the Talaria [0] a research model visualization and optimization system, which was used to optimize the efficiency of Apple Foundation Models [1]. Everything works entirely on the client-side in the browser — we provide a rudimentary ONNX loader out of the box, which you can try by dragging model files into our website. It is also simple to define loaders for your own model formats. The library was…

    2025 · apple.github.io · its alternatives →

15. 15
    KiviDB, a faster Redis-compatible memory database and vector cache▲69

    A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in - kividbio/kividb

    4d ago · github.com · its alternatives →

16. 16
    MCP-stama – An ultra-fast Rust MCP server with no dependencies▲73

    An ultra-fast, single-binary MCP server written in Rust as a lightweight alternative to Node.js/Python. - StamManif/mcp-stama

    Aug 2026 · github.com · its alternatives →

17. 17WA
    Web App Generators for React, Angular, Vue, SQL, MongoDB or Firestore▲53

    Model your entities, generate the full stack: schema, API, forms, tables, RBAC, i18n. React, Hono, Prisma, shadcn/ui. Tuned for AI coding assistants.

    2019 · scaffoldhub.io · its alternatives →

18. 18
    Scaffolder, CLI tool to generate project structure, taken from YAML▲30

    Scaffolder is a CLI tool written in Golang to instantly generate skeleton project structure with boilerplate code, that's taken from configurable YAML file, to quickly kick-start your project I was tired of manually creating the project structure, with all those folder, files... So I decided to create a CLI tool that allows you to instantly generate skeleton projects, based on a reusable YAML file with boilerplate code if specified. YAML is very easy for both humans and programs to work with and parse, hence why it's the most logical choice in context of Scaffolder. Check out the GitHub page…

    2023 · github.com · its alternatives →

19. 19
    Python library for embedding large graphs (Written in Rust)▲84

    Python library for embedding large graphs in 2D space, using force-directed layouts. - H4kor/graph-force

    2022 · github.com · its alternatives →

20. 20
    PyGeno, a Python Package for Precision Medicine▲64

    Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs - tariqdaouda/pyGeno

    2016 · github.com · its alternatives →

21. 21WA
    Web app for DNA sequence manipulation and PCR Primer design▲40

    Online DNA and Protein Sequence Tools, Alignments, Reverse complement, Translation, Sequence annotation, design Primers

    2017 · genewarrior.com · its alternatives →

22. 22
    ESM C, setting a new state of the art for protein language models▲11

    Hey HN! We're releasing ESM C, a series of protein language models that set a new state of the art. By training on metagenomics and fine-tuning on UniRef, we're able to match ESM2 650M with ESM C 300M, and ESM C 6B has incredible unsupervised contact precision performance. These models are meant to be used as base models and representation learning models for protein sequences, and we'll release a preprint describing exact details soon.

    2024 · evolutionaryscale.ai · its alternatives →

23. 23AG
    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 →

24. 24PO
    PlaidML, open source deep learning for any GPU▲52

    Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml

    2017 · 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 →