pybobyqa VS PyGenetic

Compare pybobyqa vs PyGenetic and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
pybobyqa PyGenetic
1 1
71 16
- -
5.8 0.0
18 days ago over 2 years ago
Python Python
GNU General Public License v3.0 only 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.

pybobyqa

Posts with mentions or reviews of pybobyqa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-28.

PyGenetic

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

What are some alternatives?

When comparing pybobyqa and PyGenetic you can also consider the following projects:

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

tf-quant-finance - High-performance TensorFlow library for quantitative finance.

prima - PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.

WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.

Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

BayesianOptimization - A Python implementation of global optimization with gaussian processes.

probnum - Probabilistic Numerics in Python.

Code-for-Numerical-Analysis-Executed-in-FORTRAN-and-MATLAB - This is a Git repository containing code for a numerical analysis lab using Fortran and MATLAB

OMLT - Represent trained machine learning models as Pyomo optimization formulations

stable-fluids - A minimal Stable Fluids inspired fluid solver with Python and NumPy.

argmin - Numerical optimization in pure Rust