FourierFlows.jl vs ApproxFun.jl

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FourierFlows.jl		ApproxFun.jl
	Project
-	Mentions	2
197	Stars	524
-0.5%	Growth	2.7%
8.4	Activity	7.1
3 months ago	Latest Commit	about 1 month ago
Julia	Language	Julia
MIT License	License	GNU General Public License v3.0 or later

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.

FourierFlows.jl

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

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

ApproxFun.jl

Posts with mentions or reviews of ApproxFun.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-19.

Chebfun – Numerical Computing with Functions
2 projects | news.ycombinator.com | 19 Sep 2021

What are some alternatives?

When comparing FourierFlows.jl and ApproxFun.jl you can also consider the following projects:

Gridap.jl - Grid-based approximation of partial differential equations in Julia

DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

DiffEqOperators.jl - Linear operators for discretizations of differential equations and scientific machine learning (SciML)

SciMLBenchmarks.jl - Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R