Metadata-Version: 2.4
Name: elasticipy
Version: 4.2.0
Summary: A Python library for elasticity tensor computations
Author-email: Dorian Depriester <dorian.dep@gmail.com>
License: MIT
Project-URL: Homepage, https://pypi.org/project/Elasticipy/
Project-URL: Source, https://github.com/DorianDepriester/Elasticipy
Project-URL: Tracker, https://github.com/DorianDepriester/Elasticipy/issues
Project-URL: Documentation, https://elasticipy.readthedocs.io/
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: qtpy
Requires-Dist: pyqt5
Requires-Dist: pandas
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: pymatgen; extra == "dev"
Requires-Dist: orix; extra == "dev"
Requires-Dist: mp_api==0.45.9; extra == "dev"
Dynamic: license-file

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[![DOI](https://zenodo.org/badge/876162900.svg)](https://doi.org/10.5281/zenodo.14501849)
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# ![Elasticipy](docs/source/logo/logo_text.svg)

A python toolkit to manipulate stress and strain tensors, and other linear elasticity-related tensors (e.g. stiffness). 
This package also provides a collection of easy-to-use and very fast tools to work on stress and strain tensors.

## Main features
Among other features, this package implements:

- Computation of elasticity tensors,
- Analysis of elastic anisotropy and wave propagation,
- Working with multidimensional arrays of tensors,
- Thermal expansion tensors,
- Rotation of tensors,
- Integration with crystal symmetry groups,
- Visualization and tutorials for ease of use,
- A graphical user interface to plot the spatial dependence of engineering constants,
- Compatibility with the [Materials Project](https://next-gen.materialsproject.org/) API, [pymatgen](https://pymatgen.org/) and 
[orix](https://orix.readthedocs.io/).

## Installation
Elasticipy can be installed with PIP:
````
pip install Elasticipy
````

## Documentation
Tutorials and full documentation are available on [ReadTheDoc](https://elasticipy.readthedocs.io/).

## Sources
The source code is available on [GitHub](https://github.com/DorianDepriester/Elasticipy) under the [MIT licence](https://github.com/DorianDepriester/Elasticipy/blob/c6c3d441a2d290ab8f4939992d5d753a1ad3bdb0/LICENSE).

## Tests and Code Coverage

The project uses unit tests with `pytest` and coverage reports generated using `coverage`. These reports are hosted on 
[codecov](https://app.codecov.io/gh/DorianDepriester/Elasticipy).

### **Coverage Exclusions**
Certain parts of the code, particularly those related to graphical user interfaces (GUIs) or visual plotting, are 
**excluded from code coverage analysis**. This includes the following file:

- **`src/Elasticipy/gui.py`**

## Cite this package
If you use Elasticipy, please cite [![DOI](https://zenodo.org/badge/876162900.svg)](https://doi.org/10.5281/zenodo.14501849)

You can use the following BibTeX entry:
````bibtex
@software{Elasticipy,
author = {Depriester, Dorian},
doi = {10.5281/zenodo.15188346},
month = apr,
title = {{Elasticipy}},
url = {https://github.com/DorianDepriester/Elasticipy},
version = {4.0.0},
year = {2025}
}
````
