AI · alternatives · 2026

24 alternatives to FizzBuzz using neural networks in Rust

A FizzBuzz solver using a Rust autodifferentiation library. - maciejkula/fizzbuzz

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. FizzBuzz using neural networks in Rust launched in 2017; newer entries below may have overtaken it.

1
FizzBuzz purely in Rust's trait system▲120
We all know Rust's trait system is Turing complete, so tell me, why aren't we exploiting this??? - cofibrant/trait-eval
2020 · github.com · its alternatives →
2
Algorithm Cookbook in Rust▲320
Common data structures and algorithms in Rust. Contribute to EbTech/rust-algorithms development by creating an account on GitHub.
2017 · github.com · its alternatives →
3
Neural networks tutorial series with code▲107
The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.
2020 · github.com · its alternatives →
4
Cant – Library written in Rust that provides PyTorch-like functionality▲50
Hey! This is something i have been working on. A tiny neural networking lib to learn how something like pytorch works, and to improve my own coding standards.
2025 · github.com · its alternatives →
5
Applying the Unix philosophy to neural networks▲251
Neural network inference the Unix way. Contribute to cloudkj/layer development by creating an account on GitHub.
2019 · github.com · its alternatives →
6
Neural Network Evolution Playground with Backprop NEAT▲73
2016 · blog.otoro.net · its alternatives →
7
MacMind – A transformer neural network in HyperCard on a 1989 Macintosh▲159
I trained a transformer in HyperCard. 1,216 parameters. 1989 Macintosh. And yes, it took a while. MacMind is a complete transformer neural network, embeddings, positional encoding, self-attention, backpropagation, and gradient descent, implemented entirely in HyperTalk, the scripting language Apple shipped with HyperCard in 1987. Every line of code is readable inside HyperCard's script editor. Option-click any button and read the actual math. The task: learn the bit-reversal permutation, the opening step of the Fast Fourier Transform. The model has no formula to follow. It discovers the…
Apr 2026 · github.com · its alternatives →
8
I wrote an autodiff in C++ and implemented LeNet with it▲36
2024 · gitlab.com · its alternatives →
9
An easy to understand FizzBuzz using TensorFlow▲5
2016 · github.com · its alternatives →
10
Single neuron neural network written in COBOL▲94
A perceptron written in COBOL. Contribute to victorqribeiro/perceptronCobol development by creating an account on GitHub.
2020 · github.com · its alternatives →
11JE
Juggernaut – Experimental Neural Network in Rust▲54
2017 · juggernaut.rs · its alternatives →
12
A competition for small neural networks that play strategy gamesfree▲116
A ranked ladder for small neural networks that play strategy games. Train a model, write an adapter, upload two files, and get measured into a weight class from 8 KiB up.
Sep 2026 · tinybrains.dev · its alternatives →
13AV
A Visual and Interactive Guide to the Basics of Neural Networks▲63
Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train
2016 · jalammar.github.io · its alternatives →
14
Machine learning (entirely) in Rust▲20
Machine Learning library for Rust. Contribute to AtheMathmo/rusty-machine development by creating an account on GitHub.
2016 · github.com · its alternatives →
15
Layered – Neural Networks in Python 3▲56
Clean implementation of feed forward neural networks - danijar/layered
2015 · github.com · its alternatives →
16
LambdaNet – A functional neural network library written in Haskell▲56
Purely functional artificial neural network library implemented in Haskell. - jbarrow/LambdaNet
2014 · github.com · its alternatives →
17
A Implementation of Alpha Zero for Chess in MLX▲71
A chess engine implementation inspired by AlphaZero, using MLX for neural network computations and Monte Carlo Tree Search (MCTS) for move selection.
2025 · github.com · its alternatives →
18
Spektral – Deep learning on graphs with Keras▲67
Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral
2019 · github.com · its alternatives →
19
Kalosm an embeddable framework for pre-trained models in Rust▲66
Hi everyone, I'm happy to announce the release of Kalosm! [Kalosm](https://floneum.com/kalosm/) is a framework for embedded AI in rust. ## What is Kalosm? Kalosm provides a simple interface for pre-trained language, audio, and image models models. To make it easy to use with these models in your application, Kalosm includes a set of integrations other systems like your database or documents. ```rust use kalosm::language::*; #[tokio::main] async fn main() { let mut model = Llama::new_chat(); let mut chat = Chat::builder(&mut model) .with_system_prompt("The assistant will…
2024 · floneum.com · its alternatives →
20
Inception: Automatic Rust Trait Implementation by Induction▲10
Hi HN, I thought this would be a good place to share a little puzzle I've been working on. Inception is a Rust library that helps you share behaviors in Rust using structural induction. Practically, this means that instead of having a derive macro for each behavior, a single derive can be used to enable any number of behaviors. It doesn't do this using runtime reflection, but rather type-level programming - so there is monomorphization across the substructures, and (at least in theory) no greater overhead than with macro expansion. While there are a lot of things missing still and the…
2025 · github.com · its alternatives →
21
Glowstick – type level tensor shapes in stable rust▲53
Hi HN, In the past few years I've become more interested in machine learning. Since I'm sure the same is true for many here, I wanted to share this project I've been working on: glowstick uses type-directed metaprogramming to keep track of tensor shapes in Rust's type system and determine which operations are permitted or not at compile time. I find Rust has a lot of strengths when it comes to ML applications, but waiting until runtime to find shape related issues feels a bit strange since normally I don't run the code all that often while developing. Given Rust has fancy types available, I…
2025 · github.com · its alternatives →
22
Comgra: A library for debugging and understanding neural networks▲66
I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…
2023 · github.com · its alternatives →
23AS
A syntax-diagram generator for rust's macro_rules()▲36
2018 · lukaslueg.github.io · its alternatives →
24AB
A browser-based neural network simulation▲31
2015 · neurovis.dataphoric.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 →