Simframe
is a Python framework to facilitate scientific simulations. The scope of the software is to provide a framework which can hold data fields, which can be used to integrate differential equations, and which can read and write data files.
Data fields are stored in modified numpy.ndarray
s. Therefore, Simframe
can only work with data, that can be stored in NumPy
arrays.
pip install simframe
https://simframe.readthedocs.io/
- 1. Simple Integration
- 2. Advanced Integration
- 3. Updating Groups and Fields
- 4. Custom Integration Schemes
- 5. Adaptive Integration Schemes
- 6. Implicit Integration
- Example: Coupled Oscillators
- Example: Double Pendulum
To contribute to the software, please read the contribution guidelines.
If you use Simframe
, please remember to cite Stammler & Birnstiel (2022).
@article{simframe,
doi = {10.21105/joss.03882},
url = {https://doi.org/10.21105/joss.03882},
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {69},
pages = {3882},
author = {Sebastian M. Stammler and Tilman Birnstiel},
title = {Simframe: A Python Framework for Scientific Simulations},
journal = {Journal of Open Source Software}
}
simframe
has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 714769.
simframe
was developed at the University Observatory of the Ludwig Maximilian University of Munich.