Dev tools · alternatives · 2026
24 alternatives to An open-source implementation of AlphaFold3
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…
Ligo Biosciences has released an open-source implementation of AlphaFold3, a protein structure prediction model. The software predicts protein structures, drug-protein interactions, and nucleic acid-protein complex… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. An open-source implementation of AlphaFold3 launched in 2024; newer entries below may have overtaken it.
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AlphaFold 3▲161Predicting the structure & interactions of life’s molecules
2024 · blog.google · its alternatives →
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End-to-end deep dive of the project, spanning a large GPU cluster, distributed RocksDB, and terabytes of sharded HNSW.
2025 · blog.wilsonl.in · its alternatives →
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I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…
2024 · github.com · its alternatives →
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Accelerate R&D and boost innovation and efficiency. AI models for life sciences, minimal setup, customizable workflows, and AI assistant.
2020 · deepchain.bio · its alternatives →
- 5CS
Alphafold3 used to be fodder for HPC clusters; now I've got a port running smoothly on Apple Silicon. If you have an M-series Mac (~2023-present), you can generate protein structures from sequences in minutes. Give it a try! GitHub repo: https://github.com/latent-spacecraft/openfold-3-mlx
Nov 2025 · latentspacecraft.com · its alternatives →
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Query OpenAI’s GPT-3 from directly inside your database
2023 · mindshub.ai · its alternatives →
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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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TxGemma▲134AI models for faster drug development
2025 · developers.googleblog.com · its alternatives →
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- 10KG
Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and…
2025 · theophilecantelob.re · its alternatives →
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Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
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When I read papers, I have to jump between multiple tabs to find the dataset, code, videos, peer reviews, and so on. I tried to fix this with this project. It started as a project just for papers on arXiv, but after its initial success on Twitter (got like 1.9k views: the most I have gotten for a post), I have now expanded it to include other openly available papers from PubMed Central, bioRxiv, medRxiv, and eLife. These papers have been linked with their genes, proteins, diseases, drugs, clinical trials, 3D protein structures, code, and cited and similar papers. This project now has four…
Jul 2026 · tomesphere.com · its alternatives →
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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 →
- 14OO
I've built an open-source implementation of Google DeepMind's AlphaEvolve system called OpenEvolve. It's an evolutionary coding agent that uses LLMs to discover and optimize algorithms through iterative evolution. Try it out: https://github.com/codelion/openevolve What is this? OpenEvolve evolves entire codebases (not just single functions) by leveraging an ensemble of LLMs combined with automated evaluation. It follows the evolutionary approach described in the AlphaEvolve paper but is fully open source and configurable. I built this because I wanted to experiment with…
2025 · its alternatives →
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I am excited to announce the release of TabPFN v2, a tabular foundation model that delivers state-of-the-art predictions on small datasets in just 2.8 seconds for classification and 4.8 seconds for regression compared to strong baselines tuned for 4 hours. Published in Nature, this model outperforms traditional methods on datasets with up to 10,000 samples and 500 features. The model is available under an open license: a derivative of the Apache 2 license with a single modification, adding an enhanced attribution requirement inspired by the Llama 3 license:…
2025 · nature.com · its alternatives →
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Hey HN, I'm Adithya, a 20-year-old dev from India. I have been working with GenAI for the past year, and I've found it really painful to deal with the many different forms of data out there and get the best representation of it for my AI applications. That's why I built OmniParse—an open-source platform designed to handle any unstructured data and transform it into optimized, structured representations. Key Features: - Completely local processing—no external APIs - Supports ~20 file types - Converts documents, multimedia, and web pages to high-quality structured markdown - Table extraction,…
2024 · github.com · its alternatives →
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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 →
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Embedding Atlas▲150Hey 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 →
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I made a web game inspired by Geoguessr and Wordle, where you get shown a 3D model of a random human protein each day, and you have to triangulate its gene name using similarity clues. My background is in wet lab molecular biology and I intend this game to be engaging mostly to other biologists. But if you're outside the field, I'm interested to know if you can still solve it with browser use LLMs, and if you learned something interesting doing so. Let me know what you think. I made it with Claude over the last 2 months. My coding experience is limited to basic python data analysis and…
Dec 2025 · geneguessr.brinedew.bio · its alternatives →
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2022 · github.com · its alternatives →
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Hey HN! This has been my project for a few years now. I recently brought it back to life after taking a pause to focus on my studies. My goal with this project is to separate fluff from science when shopping for supplements. I am doing this in 3 steps: 1.) I index every supplement on the market (extract each ingredient, normalize by quantity) 2.) I index every research paper on supplementation (rank every claim by effect type and effect size) 3.) I link data between supplements and research papers Earlier last year, I took pause on a project because I've ran into a few issues: Legal: Shady…
Jan 2026 · pillser.com · its alternatives →
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Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
2023 · vectara.com · its alternatives →
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Hi HN - Marcello and Vaibhav here. We built smolmodels to experiment with using LLMs for ML development. It's a fully open-source library that generates complete model training and inference code from natural language descriptions. It combines graph search with LLM code generation to find a model that gives as good predictions as possible. The core idea is that LLMs are overkill for a lot of predictive tasks. Smolmodels automates the trial-and-error process of finding the right model architecture and training approach, letting you build small, specialised models. You can either provide your…
2025 · github.com · its alternatives →
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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 →