FeenoX
7.5#3 in physics simulation softwareFree planFree planWebAPILinuxSelf-hosted
VisitFeenoX vs PySDM
What both publish
| Fact | FeenoX | PySDM |
|---|---|---|
| Authoring tools | Yes | Yes |
| Data export | Yes | Yes |
| Delivery mode | desktop | hybrid |
| Free plan | Yes | Yes |
| Installation | Official installation options include Debian or Ubuntu packages, statically linked GNU/Linux binaries, source tarballs and the GitHub repository. | PySDM is available from PyPI and can be installed with pip; the documentation also gives instructions for installing from a local Git checkout. |
| Lesson library | No | Yes |
| License | FeenoX is distributed under the GNU General Public License version 3 or any later version, with freedom to use, modify and redistribute it under the license terms. | PySDM and PySDM-examples are free/libre open-source software released under the GNU GPL v3 license. |
| Purpose | FeenoX is a cloud-first computational engineering tool for solving engineering problems with one or many computers in parallel. | PySDM simulates particle populations undergoing diffusional and collisional growth and breakage, with a focus on atmospheric cloud physics and aerosol, cloud, and rain microphysics. |
| Support | The project directs users to GitHub Discussions for help and GitHub Issues for bug reporting. | The project recommends GitHub Discussions for help understanding, using, and extending PySDM, and its GitHub issue tracker for reporting incorrect or undocumented behavior. |
FeenoX plans
- FeenoXFree
- FreeFree
PySDM plans
- PySDMFree
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.
Pick PySDM if…
PySDM suits developers and researchers building simulation systems involving dispersed phases, especially in atmospheric cloud physics. Users can choose a CPU backend or, with the required hardware and driver, the CUDA GPU backend.