A design-oriented mooring system library for Python
Project description
MoorPy - Quasi-Static Mooring Analysis in Python
MoorPy is a design-oriented mooring system library for Python based around a quasi-static modeling approach.
Prerequisites
- Python 3.9 or greater
- The following packages: NumPy, MatPlotLib, pyyaml, scipy
Installation
MoorPy is available on PyPi via:
pip install MoorPy
For an editable install that relies on the local source code, first clone the repository. Then, from the command line in the main MoorPy directory, run the following commands based on your additional needs...
General
pip install .
Development
pip install .[dev]
Testing
pip install .[test]
pre-commit install --hook-type pre-commit --hook-type pre-push
Documentation
pip install .[docs]
MoorPy's documentation website is under development at https://moorpy.readthedocs.io
Citing
The MoorPy software can be cited as: M. Hall, S. Housner, S. Sirnivas, and S. Wilson. MoorPy: Quasi-Static Mooring Analysis in Python. National Renewable Energy Laboratory, 2021. https://doi.org/10.11578/dc.20210726.1.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file MoorPy-1.0.2.tar.gz.
File metadata
- Download URL: MoorPy-1.0.2.tar.gz
- Upload date:
- Size: 92.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
29965a0b50bcd2c9d5bfe835b2eff581aeaaf9ccd87087db89054338b92d1847
|
|
| MD5 |
1f972a5635c22a3be6a08ccd34037a77
|
|
| BLAKE2b-256 |
658084050b99579e6f5e1026024b2b82ccc967e3719b494fdac8efbe7e353cb5
|
File details
Details for the file MoorPy-1.0.2-py3-none-any.whl.
File metadata
- Download URL: MoorPy-1.0.2-py3-none-any.whl
- Upload date:
- Size: 91.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e1cb1746a18678349521655d1a2d4eb703bf8fee0731dc7a920d5229831e3026
|
|
| MD5 |
f64ac32b11a91228da47e114717e92b4
|
|
| BLAKE2b-256 |
787d58a6afb8a54abf6a2c86aba71f6cad645aad2732f53b80440db97040b921
|
