finito VS genprog

Compare finito vs genprog and see what are their differences.

finito

A constraint solver for finite domains, written in Haskell. (by typedbyte)

genprog

Genetic programming library (by jsnajder)
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finito genprog
- -
10 24
- -
1.8 0.0
over 2 years ago over 10 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License 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.

finito

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

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

genprog

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

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

What are some alternatives?

When comparing finito and genprog you can also consider the following projects:

nn - A tiny neural network 🧠

heukarya - genetic programming in haskell

hasktorch - Tensors and neural networks in Haskell

smarties - haskell behavior tree library

keera-posture - Alleviate your back pain using Haskell and a webcam

HSGEP - Haskell Gene Expression Programming Library

fei-cocoapi

GA - Haskell module for working with genetic algorithms

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.

hnn - haskell neural network library

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

creatur - Framework for artificial life and other evolutionary algorithms.