Simframe
Framework for scientific simulations
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.ndarrays. Therefore, Simframe can only work with data, that can be stored in NumPy arrays.
Installation
pip install simframe
Documentation
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
- 7. Signal Handling
- Example: Coupled Oscillators
- Example: Double Pendulum
- Example: Compartmental Models
- Example: N-body Problem
- A. Citation
- B. Contributing/Bugs/Features
- C. Changelog
- Module Reference
Ackowledgements
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.
1 maintainer
Metadata
1 maintainer
Release files for simframe 1.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| simframe-1.0.6.tar.gz | 14.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| simframe-1.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.0 MB
Release files / simframe-1.0.6.tar.gz
| Download URL | simframe-1.0.6.tar.gz |
|---|---|
| Size | 14.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.14.4
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Release files / simframe-1.0.6-py3-none-any.whl
| Download URL | simframe-1.0.6-py3-none-any.whl |
|---|---|
| Size | 69.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.14.4
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