Metadata-Version: 2.1
Name: paramaterial
Version: 0.0.7
Summary: Software toolkit for parameterising materials test data. Easily batch process experimental measurements to determine mechanical properties and material model parameters.
Home-page: https://github.com/dan-slater/paramaterial
Author: Daniel Slater
Author-email: danielgslater@gmail.com
Keywords: python,mechanical testing,materials testing,post-processing,stress-strain,flow stress,yield stress,tensile test,strength,elastic modulus,strain,universal testing machine,fitting constitutive model,material model,solid mechanics,materials science,engineering
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE

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## About

A Python package for parameterizing materials test data. Given a set of experimental measurements, Paramaterial can be
used to determine material properties and constitutive model parameters.

* **Source Code**: [https://github.com/dan-slater/paramaterial](https://github.com/dan-slater/paramaterial)

* **Documentation**: [https://dan-slater.github.io/paramaterial/](https://dan-slater.github.io/paramaterial/)

* **PyPI**: [https://pypi.org/project/paramaterial/](https://pypi.org/project/paramaterial/)

The package was designed to help improve the quality and quantity of data available for materials modeling and
simulation. It is hoped that using Paramaterial will help improve repeatability and reproducibility of materials test
data analyses, and help to reduce the time and effort required to perform such analyses.

> **Note**: Paramaterial is currently in alpha development. The API is subject to change.

## Usage

Usage of the toolkit is demonstrated in the [example]() notebook.

## Installation

```shell
pip install paramaterial
```

## Contributing

Please go to the GitHub repository and submit an issue or pull request.

## License

Paramaterial is licensed under the MIT license. 


