Metadata-Version: 2.3
Name: parepy-toolbox
Version: 2.0.2
Summary: 
Author: wmpjrufg
Author-email: wanderlei_junior@ufcat.edu.br
Requires-Python: >=3.8
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Description-Content-Type: text/markdown

# PAREpy

The PAREpy (Probabilistic Approach to Reliability Engineering) framework is a software developed by the research group headed by Professor Wanderlei M. Pereira Junior in the FENG-UFCAT. It is a framework for applying probabilistic concepts to analyze a system containing random variables. The platform is built in Python and can be used in any environment that supports this programming language.

See [documentation](https://wmpjrufg.github.io/PAREPY/).

## Quick start

To use the framework in an Python environment, use the following command:

```python
pip install parepy-toolbox
# or pip install --upgrade parepy-toolbox
```


