Dev tools · alternatives · 2026
24 alternatives to Automatic Induction of Machine Code by Genetic Programming
An AIMGP (Automatic Induction of Machine code by Genetic Programming) engine - evoasm/evoasm.rb
Evoasm is a genetic programming engine that automatically generates machine code by evolving solutions through automated processes. It is designed for developers and researchers working on code generation and… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Automatic Induction of Machine Code by Genetic Programming launched in 2016; newer entries below may have overtaken it.
- 1AG
2010 · puremango.co.uk · its alternatives →
- 2
Contribute to FeSens/auto-arch-tournament development by creating an account on GitHub.
Apr 2026 · github.com · its alternatives →
- 3
- 4
- 5
Genetic algorithm library written in JavaScript. Contribute to lodenrogue/genetic-algorithm-js development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 6
Contribute to sacert/Genetic-Hello-World development by creating an account on GitHub.
2017 · github.com · its alternatives →
- 7
2016 · blog.otoro.net · its alternatives →
- 8
Gradio 5.0▲224connect nodes to build AI pipelines, powered by Hugging Face
2024 · gradio.app · its alternatives →
- 9
Provide an input CSV and a target field to predict, generate a model + code to run it. - minimaxir/automl-gs
2019 · github.com · its alternatives →
- 10
An ultra-fast model for real-time coding in Codex
Feb 2026 · openai.com · its alternatives →
- 11
Autocode 1.0▲276Automate easily with code and APIs, level up from workflows.
2020 · superuser.app · its alternatives →
- 12ZA
Zyme is an esoteric language for genetic programming: creating computer programs by means of natural selection.
2024 · zyme.dev · its alternatives →
- 13GB
2025 · attentionmech.github.io · its alternatives →
- 14DA
Hey HN! I've been working on a project called Darwin that I'm thrilled to share with you. Darwin is essentially your GitHub agent powered by large language models (LLMs). It checks out your projects, understands them through natural language prompts, and automates tasks such as fixing issues, documenting code, reviewing pull requests, and more. What drove me to create Darwin was a desire to harness the power of LLMs in a way that's seamlessly integrated with the tools I use daily. The motivation came from my curiosity about what could be possible when writing code that understands code.…
2024 · darwin-ai.dev · its alternatives →
- 15
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. - reiinakano/xcessiv
2017 · github.com · its alternatives →
- 16OS
Everyone saw the AlphaEvolve hype. I got obsessed with how it might work under the hood and decided to just build it myself. My setup uses GPT-4.1 to mutate matrix multiplication code, guided by a bunch of hand-crafted mutation strategies (loop reordering, tiling, Strassen, etc.). Each candidate is evaluated on both speed and accuracy. Then I apply Pareto selection with crowding distance to evolve better ones over generations. I ran into all the usual LLM reward hacks-returning the input, calling np.dot, etc. So I forced primitive-only implementations and tightly constrained the mutation…
2025 · its alternatives →
- 17
Hi HN, Gentrace is our new evaluation and observability tool for generative AI (open beta). Generative pipelines are hard to evaluate because outputs are subjective. Lots of developers end up just doing “gut checks” on a few inputs before shipping changes, or they build up a spreadsheet of test cases that they manually run through the pipeline. Some companies outsource filling out the spreadsheet. However, in any of these cases, you end up with a very slow and expensive process for evaluation. At one point, we did this too. Gentrace is the result of a pivot; it was an internal tool we used…
2023 · gentrace.ai · its alternatives →
- 18
AI4Animation in javascript & three.js. Contribute to sneha-belkhale/AI4Animation-js development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 19
Haskell re-implementation of STOKE, the stochastic superoptimizer - blaze/notebooks/tutorial.ipynb at master · bollu/blaze
2019 · github.com · its alternatives →
- 20
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! - gradio-app/gradio
2020 · github.com · its alternatives →
- 21MF
Wrote a program in FreeBASIC to try and find out how Genetic Algorithms work. It's a quick hack that I wrote to try some theories with because the Wikipedia Article on GAs reads like greek to me. So I built it from the general principles i knew at the time. The "genome" per individual is an array of 9000 integers but I used only monochrome pictures with either black or white; An individual also has a fitness score. There are 1000 individuals in the population and only two are selected to reproduce. So that makes 9 million (yes, MEELION as El Reg would write) data points and the scoring…
2015 · its alternatives →
- 22
Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation. - blobcity/autoai
2021 · github.com · its alternatives →
- 23MB
Beautiful Data Science
2020 · shahinrostami.com · its alternatives →
- 24AG
2016 · leverlabs.io · its alternatives →
Also compare
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 →