Python toolkit for physical geodesy
Project description
Gravity field modelling and computational geodesy in Python
Overview
PyGeoid implements computational methods for modelling and analysing the Earth's gravity field and related geodetic quantities.
The library is intended for research and educational use in geodesy.
The project is under active development. APIs may and will change between minor versions.
Installation
Install from PyPI:
pip install pygeoid
Install development version:
pip install -U git+https://github.com/ioshchepkov/pygeoid@develop
Documentation
https://pygeoid.thegeodesy.com
Citation
If you use PyGeoid in academic work, please cite it.
Citation metadata is available in:
CITATION.cff- Zenodo DOI: https://doi.org/10.5281/zenodo.4692429
Contributing
Contributions related to theory, algorithms, validation, and documentation are welcome.
For substantial changes, please open an issue first to discuss your proposal.
Participation in this project is governed by the Code of Conduct.
License
MIT License.
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 pygeoid-0.0.5.tar.gz.
File metadata
- Download URL: pygeoid-0.0.5.tar.gz
- Upload date:
- Size: 3.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d7873a07b0fe76bfbee59dbaee3413692241bc6ff3de60652850b7790ec33ece
|
|
| MD5 |
9d0f5ab225d6bc315dbb17787586ee62
|
|
| BLAKE2b-256 |
68de540a44df1a32c164bf26f16aba3fc685c3f560a98a4f1654d302eeed0693
|
File details
Details for the file pygeoid-0.0.5-py3-none-any.whl.
File metadata
- Download URL: pygeoid-0.0.5-py3-none-any.whl
- Upload date:
- Size: 46.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
abcfc35fb8b1936a3b94372de26242ee27a52ce1860b7e42ad97793763f63bd1
|
|
| MD5 |
6397b5aef80a0ae426ba7edd6cc2870b
|
|
| BLAKE2b-256 |
2f5b81ae82fb047e60a1c758be3535a6b430d7337e24d3ce3b49491c889105f4
|
