DynamicalSystems.jl
7.1#11 in physics simulation softwareFree planFree planLinuxmacOSWindows
VisitDynamicalSystems.jl vs FeenoX
What both publish
| Fact | DynamicalSystems.jl | FeenoX |
|---|---|---|
| 3D visuals | Yes | Yes |
| Audience | The project describes use in scientific research and education, and says it gives teachers a framework for demonstrating runnable nonlinear-dynamics code. | Official pages present FeenoX for industry engineers, Unix hackers and academic professors, with advanced users as the target audience. |
| Authoring tools | Yes | Yes |
| Data export | Yes | Yes |
| Delivery mode | desktop | desktop |
| Free plan | Yes | Yes |
| Installation | The documented installation command is `import Pkg; Pkg.add("DynamicalSystems")` in Julia. | Official installation options include Debian or Ubuntu packages, statically linked GNU/Linux binaries, source tarballs and the GitHub repository. |
| Integrations | The documentation says Julia interoperability lets users of Python, R, and MATLAB use parts of the ecosystem, and gives juliacall as a Python example for ComplexityMeasures.jl. | It reads Gmsh meshes, uses PETSc and SLEPc solvers, and writes Gmsh MSH or ParaView VTK/VTU results. |
| Offline access | Yes | Yes |
| Purpose | DynamicalSystems.jl is a Julia-based general-purpose library for nonlinear dynamics and nonlinear time-series analysis. | FeenoX is a cloud-first computational engineering tool for solving engineering problems with one or many computers in parallel. |
| Support | Users can ask questions through Julia Discourse, Julia Slack, or GitHub issues, with the project recommending Discourse for involved questions and issues for unexpected behavior. | The project directs users to GitHub Discussions for help and GitHub Issues for bug reporting. |
DynamicalSystems.jl plans
- DynamicalSystems.jlFree
FeenoX plans
- FeenoXFree
- FreeFree
Pick DynamicalSystems.jl if…
It suits researchers and educators working with nonlinear systems or time-series analysis in Julia. Python, R, and MATLAB users may also use parts of the ecosystem through Julia interoperability.
Pick FeenoX if…
FeenoX suits advanced users such as engineers, Unix hackers, and academic professors who work with engineering models and plain-text inputs. It targets GNU/Linux users and can also be accessed through browser-based interfaces.