stable-fluids VS pybobyqa

Compare stable-fluids vs pybobyqa and see what are their differences.

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stable-fluids pybobyqa
2 1
202 78
- -
0.0 6.6
about 3 years ago 6 months ago
Python Python
The Unlicense GNU General Public License v3.0 only
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.

stable-fluids

Posts with mentions or reviews of stable-fluids. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-14.

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.

What are some alternatives?

When comparing stable-fluids and pybobyqa you can also consider the following projects:

pysph - A framework for Smoothed Particle Hydrodynamics in Python

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.

Stable-Fluids - Real-time simulation of Stable Fluids, Jos Stam, SIGGRAPH 1999.

OMLT - Represent trained machine learning models as Pyomo optimization formulations

rpi-rgb-led-matrix - Controlling up to three chains of 64x64, 32x32, 16x32 or similar RGB LED displays using Raspberry Pi GPIO

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

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