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AI · alternatives · 2026

24 alternatives to Zant – A TinyML SDK in Zig

Hey HN, We’re excited to announce Zant v0.1, an open-source TinyML SDK built in Zig, designed to optimize and deploy neural networks on resource-constrained devices. Unlike existing solutions, Zant focuses on performance, portability, and ease of integration, making it a strong alternative for anyone working on Edge AI and embedded ML. Why Zant? Most TinyML frameworks are either too high-level (requiring bloated runtimes) or too low-level (requiring extensive manual optimization). Zant bridges the gap by offering: - A lightweight but powerful code generation system to translate ML models…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1
    MakeML▲274

    Train Neural Networks without a line of code

    2019 · makeml.app · its alternatives →

  2. 2

    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 →

  3. 3

    Minimalist, dependency-free virtual machine sandbox for microcontrollers and other resource-constrained devices. Single C file, no dynamic memory allocations, asynchronous design, pure C99 - ringtailsoftware/uvm32

    Dec 2025 · github.com · its alternatives →

  4. 4

    I believe the best way to learn a language is by doing an in-depth project. This is my first Zig project intended for learning the ropes on publishing a Zig package. It turns out to be quite solid and performant. It might be a bit over-engineered. This little library is packed with the following features: - Building dependency graph from dependency data. - Performing topological sort on the dependency graph. - Generating dependence-free subsets for parallel processing. - Cycle detection and cycle reporting.

    2025 · github.com · its alternatives →

  5. 5

    Hello HN! The day has finally come to stop adding features and start sharing what I've been building the last 5-6 months. It's a bit of CrewAI, OpenDevon, LangFuse/Cloud all in one, providing devs who prefer TypeScript an integrated framework thats provides a lot out of the box to start experimenting and building agents with. It started after peeking at the LangChain docs a few times and never liking the example code. I began experimenting with automating a simple Jira request from the engineering team to add an index to one of our Google Spanner databases (for context I'm the…

    2024 · github.com · its alternatives →

  6. 6

    A lightweight, single-binary coding agent harness written in Go. Anthropic, OpenAI, Kimi, DeepSeek, Google Gemini, Ollama, managed llama.cpp models, five built-in tools, three run modes, extensions in any language, and a built-in Telegram bridge.

    May 2026 · zot.sh · its alternatives →

  7. 7
    ZenML▲84

    Create reproducible machine learning pipelines

    2020 · github.com · its alternatives →

  8. 8

    I built zli, a batteries-included CLI framework for Zig with a focus on DX and composability. Key features: - Typed flags with default values and help output - Rich formatting, and layout support - Command trees with isolated execution logic - It’s designed to feel good to use, not just to work. - Built for real-world CLI apps, not toy examples. Would love feedback, feature ideas, or thoughts from other Zig devs. repo here: https://github.com/xcaeser/zli

    2025 · github.com · its alternatives →

  9. 9

    ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml

    2020 · github.com · its alternatives →

  10. 10ZA

    Hi everyone, I've made an early version of ZigFormer, a small LLM implemented in Zig with no dependencies on external ML frameworks like PyTorch or JAX. ZigFormer is modelled after a textbook LLM (like GPT-2 from OpenAI) and can be used as a Zig library as well as a standalone application to train a model and chat with it. This was mainly an educational project. I'm sharing it here in case others find it interesting or useful. Link to the project: https://github.com/CogitatorTech/zigformer

    Nov 2025 · its alternatives →

  11. 11

    I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc... Why do we need all these libraries and runtimes with all the overhead, compatibility issues and other headaches, when it's just some math to be executed? So I made a compiler that simply converts the model into plain source code with no dependencies, and it actually solved all my deployment problems. Now I'm curious if it can help anyone else too. Through the link you can submit your model file (Keras h5, onnx soon to be supported), and I'll…

    2023 · waveworks.dk · its alternatives →

  12. 12

    A minimalist deep learning library written from scratch in Python - sradc/SmallPebble

    2021 · github.com · its alternatives →

  13. 13ZD

    Hi everyone, I've made an open-source library for using design by contract (DbC) principles in the Zig programming language. It's called Zig-DbC, and it currently provides the following features: - A simple API to define preconditions, postconditions, and invariants. - Contracts are active in `Debug`, `ReleaseSafe`, and `ReleaseSmall` modes to catch bugs early. - All checks are removed at compile time in `ReleaseFast` mode for zero performance cost. - An optional mode to handle partial state changes in functions that return errors. - Transparent error handling that propagates errors from…

    2025 · its alternatives →

  14. 14IB

    Hi everyone, I recently built a tool called Ziggy. Ziggy is a alternative to tools like Typeform except Ziggy uses AI to ask dynamic questions like you would ask when doing an interview with a user with some pretty powerful analytics. It's completely open source and was made to help save time and money doing 1-on-1 interviews with a lot of users in a short amount of time. We're also looking for any and all feedback so let me know what you think! Give it a try here by doing a feedback survey for Ziggy: https://www.useziggy.com/zy/MtAp-d7ebzylr

    2024 · useziggy.com · its alternatives →

  15. 15

    A collection of high-performance data structures for Zig.

    Dec 2025 · github.com · its alternatives →

  16. 16

    Ensemble ML models with zero code

    2023 · jigsaw-ai.vercel.app · its alternatives →

  17. 17E0

    Hi everyone, I've made a new experimental Lisp dialect (named "Element 0"). It comes with an interpreter written in Zig and a small standard library. The project is open source, and feedback is welcome. Project's GitHub repo: https://github.com/habedi/element-0

    2025 · its alternatives →

  18. 18
    oneML▲3

    An optimized and portable Machine Learning SDK

    2022 · sertiscorp.com · its alternatives →

  19. 19

    Native Zig inference server for Apple Silicon. Runs any LLM — MLX and GGUF — faster than LM Studio. OpenAI- and Anthropic-compatible (Claude Code) APIs. No Python. Drop-in alternative to LM Studio, Ollama, and llama.cpp on macOS. Gemma 4, Qwen 3.8, Llama 3, Mistral, DeepSeek V4 Flash — local, MIT-li

    Jul 2026 · mlxserve.com · its alternatives →

  20. 20

    I built a neural network library in golang on an autograd engine. Faster and easy to use like PyTorch. Please give it a try and share your feedback. if you like it, a github star will be appreciated.

    2024 · github.com · its alternatives →

  21. 21

    A unified interface for optimization algorithms and experiments - hyperactive-project/Hyperactive

    2021 · github.com · its alternatives →

  22. 22BA

    I'm one of the creators of The Edge Agent (TEA). We built this because we needed a way to deploy agents that was verifiable and robust enough for production/edge cases, moving away from loose scripts. The architecture aims to solve critical gaps in deterministic orchestration identified by *Prof. Claudionor Coelho Jr. (Stanford alum, ML/DL Faculty at Santa Clara Univ., and Senior Fellow for AI at Majestic Labs)* during our work on the Kiroku project. *Key Technical Features:* * *Neurosymbolic Native:* We integrated Prolog to logically validate LLM outputs. This combines neural…

    Jan 2026 · fabceolin.github.io · its alternatives →

  23. 23

    I made this tool to get some better intuition on how neural networks/backpropagation worked, but I'm really unsure what to do with it now, so I've put it up on github, and I wrote a little primer on backprop and neural networks to showcase it. Really curious to hear any thoughts you might have, or anything I got wrong in the write up!

    2024 · github.com · its alternatives →

  24. 24

    I wanted something lighter than zig autodoc so I've implemented (and golfed a bit) a custom parser using parser combinators in JS. It's not 100% correct and it's also not meant to be, all I care about is if it can parse my own Zig code, not any valid Zig code. There are also some bugs, and I don't intend to support, nor develop this much further, consider it vaporware which you are free to fork and use it for something, or just have some fun reading the code and figuring out how it works (I certainly had a lot of fun implementing it - no LLMs, so it was a nice exercise too). BTW: I know it's…

    Jan 2026 · github.com · its alternatives →

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