Dev tools · alternatives · 2026
24 alternatives to Evolve expressions that evaluate to a target number
Evolving expressions using genetic algorithms. Contribute to yati-sagade/exprolution development by creating an account on GitHub.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Evolve expressions that evaluate to a target number launched in 2015; newer entries below may have overtaken it.
- 1AG
2010 · puremango.co.uk · its alternatives →
- 2
Genetic algorithm library written in JavaScript. Contribute to lodenrogue/genetic-algorithm-js development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 3
Hey HN, I've been working on an open-source framework for creating AI agents that evolve, communicate, and collaborate to solve complex tasks. The Evolving Agents Framework allows agents to: Reuse, evolve, or create new agents dynamically based on semantic similarity Communicate and delegate tasks to other specialized agents Continuously improve by learning from past executions Define workflows in YAML, making it easy to orchestrate agent interactions Search for relevant tools and agents using OpenAI embeddings Support multiple AI frameworks (BeeAI, etc.) Current Status & Roadmap This is…
2025 · github.com · its alternatives →
- 4
Space invaders, but the invaders evolve with genetic algorithm - victorqribeiro/invaderz
2019 · github.com · its alternatives →
- 5
- 6
A research project simulating the evolution of virtual corals - 2018.
2018 · joelsimon.net · its alternatives →
- 7
Space invaders, but the invaders evolve with genetic algorithm - victorqribeiro/invaderz
2018 · github.com · its alternatives →
- 8
Random fractal or the secret behind my tree. Contribute to victorqribeiro/randomFractal development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 9
This project is a simple but fun demonstration of a genetic algorithm applied to image generation. It starts with a population of random images and evolves them over generations to resemble a target image. The output is an animated GIF that shows the entire evolution process.
2025 · github.com · its alternatives →
- 10
Breed cars and make them evolve with natural selection.
2015 · rednuht.org · its alternatives →
- 11GA
2020 · amydyer.art · its alternatives →
- 12
Contribute to sacert/Genetic-Hello-World development by creating an account on GitHub.
2017 · github.com · its alternatives →
- 13
An AIMGP (Automatic Induction of Machine code by Genetic Programming) engine - evoasm/evoasm.rb
2016 · github.com · its alternatives →
- 14MB
Beautiful Data Science
2020 · shahinrostami.com · its alternatives →
- 15
A simple tool to calculate a Pokemon's CP after it evolves
2016 · its alternatives →
- 16
Evolutionary Algorithms (EAs) are a fascinating class of algorithms for meta-heuristic optimisation. Perhaps the most difficult question to answer is where do we start? There is so much to cover, and many potential starting points.
2020 · datacrayon.com · its alternatives →
- 17ZA
Zyme is an esoteric language for genetic programming: creating computer programs by means of natural selection.
2024 · zyme.dev · its alternatives →
- 18
2016 · github.com · its alternatives →
- 19
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 →
- 20
2014 · blog.vivekpanyam.com · its alternatives →
- 21
2016 · blog.otoro.net · its alternatives →
- 22UG
2021 · victorribeiro.com · its alternatives →
- 23DA
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 →
- 24OS
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 →
Also compare
- A Genetic Algorithm I wrote in JavaScript to evolve "Hello World" alternatives
- A Genetic Algorithm library written in JavaScript alternatives
- Evolving Agents Framework alternatives
- Space Invaders but the invaders evolve with genetic algorithm alternatives
- Evogage Beta alternatives
- Evolving Corals with Neuroevolution and Novelty Search 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 →