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DOI

What is shapelets?

Shapelets is a Python-based library that implements several shapelet functions and some of their applications in science and engineering. Shapelet functions are a complete and orthogonal set of localized basis functions with mathematical properties convenient for image analysis and manipulation. Applications include:

The shapelets library provides reference code and documentation for the following shapelet functions:

Getting Started

  1. If you have Python 3.10+ installed, you can install the shapelets library via pip:
pip install shapelets
  1. If you do not have Python 3.10+ installed, consult the installation guide.
  2. Consult the examples to see how the library can be used.
  3. Checkout other documentation:

If you plan to use the shapelets library for your own work, please cite appropriately using the citation below.

Issues

If you encounter any problems with shapelets, please create a post using the issue tracker. Provide a clear and concise description of the problem with images/code-snippets where appropriate. We will address these problems as fast as possible.

Contribute

The authors of the shapelets library welcome contributions to the source code. Please follow the contribution policy:

  • Open an issue on the library issue tracker clearly describing your intentions on code modifications
  • Ensure your modifications or additions adhere to the existing standard of the shapelets library (i.e. how are your docstrings?)
  • Test your modifications to ensure the integrity of the library is intact via the entry point:
shapelets-test
  • Once the issue has been discussed with a library author, you may open a pull request containing your modifications

Citation

If you plan to use shapelets in your own work, please cite using the following bibtex citation:

@article{TinoShapelets2024,
author = {Tino, Matthew Peres and Abdulaziz, Abbas Yusuf and Suderman, Robert and Akdeniz, Thomas and Abukhdeir, Nasser Mohieddin},
title = {Shapelets: A Python package implementing shapelet functions and their applications},
doi = {10.21105/joss.06058},
journal = {Journal of Open Source Software},
number = {95},
pages = {6058},
volume = {9},
year = {2024},
url = {https://joss.theoj.org/papers/10.21105/joss.06058}
}

Authors

  • Matthew Peres Tino ([email protected])
  • Abbas Yusuf Abdulaziz
  • Nasser Mohieddin Abukhdeir
  • Robert Suderman
  • Thomas Akdeniz