RigidBodySim.jl VS ComponentArrays.jl

Compare RigidBodySim.jl vs ComponentArrays.jl 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
RigidBodySim.jl ComponentArrays.jl
- 1
68 277
- -
0.0 7.3
almost 4 years ago 18 days ago
Jupyter Notebook Julia
GNU General Public License v3.0 or later 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.

RigidBodySim.jl

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

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

ComponentArrays.jl

Posts with mentions or reviews of ComponentArrays.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-15.
  • Recursion absolutely necessary for distributed computing?
    3 projects | /r/Julia | 15 Oct 2021
    But for these to be as fast as say an Array when being used as the object in a differential equation solve or as the underlying construct of a nonlinear optimization, you would need the compiler to elide the struct construction which it doesn't always do. This is why the tools evolved to be around things like https://github.com/jonniedie/ComponentArrays.jl instead, where it's an Array-backed object with a higher level. Such immutable objects are used in these array-like contexts when the problems are small enough (FieldVectors or SLVector LabelledArrays.jl in DiffEq), and such applications work well in Haskell as well, but I haven't seen a compiler do well with say a 1,000 ODE model written in this style. And it's not quite an extreme case if it's what people are doing daily.

What are some alternatives?

When comparing RigidBodySim.jl and ComponentArrays.jl you can also consider the following projects:

Julia-DataFrames-Tutorial - A tutorial on Julia DataFrames package

DiffEqBase.jl - The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

carbon-simulator - This is an open-source python package developed by Bancor Research. It is meant to assist in the design, testing, and validating of the Carbon Protocol.

JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

transient_rotordynamic - transient dynamics of elastic rotors in journal bearings with Julia and Python

RayTracer.jl - Differentiable RayTracing in Julia

dkt - A Tutorial on Manipulator Differential Kinematics

ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

webots - Webots Robot Simulator

ControlSystems.jl - A Control Systems Toolbox for Julia

egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation

DSGE.jl - Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)