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The PyMAPDL project supports Pythonic access to MAPDL to be able to communicate with the MAPDL process directly from Python. The latest ansys-mapdl-core package enables a more comprehensive interface with MAPDL and supports:
All the features of the original module (for example, Pythonic commands and interactive sessions).
Remote connections to MAPDL from anywhere via gRPC.
Direct access to MAPDL arrays, meshes, and geometry as Python objects.
Low-level access to the MAPDL solver through APDL math in a SciPy- like interface.
Here's a quick demo of PyMAPDL within Visual Studio Code:
PyMAPDL works within Jupyter Notebooks, the standard Python console, or in batch mode on Windows, Linux, and even Mac OS.
Documentation for the latest stable release of PyMAPDL is hosted at PyMAPDL Documentation.
In the upper right corner of the documentation's title bar, there is an option for switching from viewing the documentation for the latest stable release to viewing the documentation for the development version or previously released versions.
You can also download the PyMAPDL cheat sheet. This one-page reference provides syntax rules and commands for using PyMAPDL.
For troubleshooting, visit Troubleshooting PyMAPDL
On the PyMAPDL Issues page, you can create issues to report bugs and request new features. On the PyMAPDL Discussions page or the Discussions page on the Ansys Developer portal, you can post questions, share ideas, and get community feedback.
To reach the project support team, email PyAnsys Core team. Unfortunately, this team cannot answer specific library questions or issues. You must use the PyMAPDL Issues and PyMAPDL Discussions pages for raising issues, request new features, and asking questions.
You can contribute to PyMAPDL by developing new features, fixing bugs, improving the documentation, fixing typos, writing examples, etc. To learn how to contribute to PyMAPDL, visit Contributing section.
This project was formerly known as pyansys
, and we'd like to thank
all the early adopters, contributors, and users who submitted issues,
gave feedback, and contributed code through the years. The
pyansys
project has been taken up at Ansys and is being leveraged in
creating new Pythonic, cross-platform, and multi-language service-based
interfaces for Ansys's products. Your contributions to
pyansys
has shaped it into a better solution.
The pyansys
project is expanding beyond just MAPDL, and while
there are many new features and changes to the original Python module,
many steps have been taken to ensure compatibility with legacy code
while supporting new features. The original Python module has been
split up into the following projects and modules:
For more information on each project, visit their GitHub pages.
If you use PyMAPDL for research and would like to cite the module and source, you can visit pyansys Zenodo and generate the correct citation. For example, the BibTex citation is:
@software{alexander_kaszynski_2020_4009467,
author = {Alexander Kaszynski},
title = {{pyansys: Pythonic interface to MAPDL}},
month = nov,
year = 2021,
publisher = {Zenodo},
version = {0.60.3},
doi = {10.5281/zenodo.4009466},
url = {https://doi.org/10.5281/zenodo.4009466}
}
Because the citation here might not be current, visit the link above to obtain the most recent citation.
PyMAPDL is licensed under the MIT license.
ansys-mapdl-core package
makes no commercial claim over Ansys whatsoever.
This tool extends the functionality of MAPDL
by adding a Python
interface to the MAPDL service without changing the
core behavior or license of the original software. The use of the
interactive APDL control of PyMAPDL
requires a legally licensed local copy of Ansys.
To get a copy of Ansys, visit Ansys.
FAQs
A Python wrapper for Ansys MAPDL.
We found that ansys-mapdl-core demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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