Metadata-Version: 2.0
Name: reliability
Version: 0.1.6
Summary: Reliability Engineering toolkit for Python
Home-page: https://github.com/MatthewReid854/reliability
Author: Matthew Reid
Author-email: m.reid854@gmail.com
License: MIT
Keywords: reliability,engineering,RAM,weibull,survival analysis,censored data,lifelines,probability distributions,probability,quality
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3
Description-Content-Type: text/markdown
Requires-Dist: autograd (>=1.2.0)
Requires-Dist: autograd-gamma (>=0.4.1)
Requires-Dist: matplotlib (>=3.0.3)
Requires-Dist: numpy (>=1.16.2)
Requires-Dist: pandas (>=0.23.4)
Requires-Dist: scipy (>=1.2.1)

![](https://i.imgur.com/P7sjQ0C.png)

# reliability

*reliability* is a Python library for reliability engineering and survival analysis. It offers the ability to create and fit probability distributions intuitively and to explore and plot their properties. *reliability* is designed to be much easier to use than scipy.stats  whilst also extending the functionality to include many of the same tools that are typically only found in proprietary software such as Minitab, Reliasoft, and JMP Pro. It is somewhat similar to *lifelines* but with a greater focus on the application of survival analysis to reliability engineering.

## Installation

```
pip install reliability
```

## Documentation

Check out [readthedocs](https://reliability.readthedocs.io/en/latest/) for detailed documentation and examples.


