Finch VS EasyGA

Compare Finch vs EasyGA and see what are their differences.

EasyGA

EasyGA is a python package designed to provide an easy-to-use Genetic Algorithm. The package is designed to work right out of the box, while also allowing the user to customize features as they see fit. (by danielwilczak101)
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Finch EasyGA
1 1
32 47
- -
8.4 0.0
2 months ago 8 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Finch

Posts with mentions or reviews of Finch. We have used some of these posts to build our list of alternatives and similar projects.

EasyGA

Posts with mentions or reviews of EasyGA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-08.

What are some alternatives?

When comparing Finch and EasyGA you can also consider the following projects:

ruck - 🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

genetic-algorithm-in-python - A genetic algorithm written in Python for educational purposes.

genetic-algorithm-learning - A simple genetic algorithm written in Python. The aim is to reconstruct a particular given string

easy_GA - genetic algorithm module for python 3

GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

gen - genetic algorithms playground

MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

pyneat - NEAT: NeuroEvolution of Augmenting Topologies