Etage VS creatur

Compare Etage vs creatur and see what are their differences.

Etage

A general data-flow framework featuring nondeterminism, laziness and neurological pseudo-terminology. (by mitar)
AI

creatur

Framework for artificial life and other evolutionary algorithms. (by mhwombat)
AI
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Etage creatur
- -
0 31
- -
0.0 0.0
about 12 years ago almost 4 years ago
Haskell Haskell
GNU Lesser General Public License v3.0 only BSD 3-clause "New" or "Revised" 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.

Etage

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

We haven't tracked posts mentioning Etage yet.
Tracking mentions began in Dec 2020.

creatur

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

We haven't tracked posts mentioning creatur yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Etage and creatur you can also consider the following projects:

moo - Genetic algorithm library for Haskell. Binary and continuous (real-coded) GAs. Binary GAs: binary and Gray encoding; point mutation; one-point, two-point, and uniform crossover. Continuous GAs: Gaussian mutation; BLX-α, UNDX, and SBX crossover. Selection operators: roulette, tournament, and stochastic universal sampling (SUS); with optional niching, ranking, and scaling. Replacement strategies: generational with elitism and steady state. Constrained optimization: random constrained initialization, death penalty, constrained selection without a penalty function. Multi-objective optimization: NSGA-II and constrained NSGA-II.

csp - Constraint satisfaction problem (CSP) solvers for Haskell

tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.

neet - Neuroevolution of Augmented Topologies (NEAT) -- in Haskell

hmep - Haskell Multi Expression Programming implemented with the focus on speed

CV - Haskell wrappers and utilities for OpenCV machine vision library

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SaaSHub helps you find the best software and product alternatives
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