Reliability Engineering toolkit for Python

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  • License: MIT
  • Author: Matthew Reid
  • Tags reliability, engineering, RAM, weibull, survival analysis, censored data, lifelines, probability distributions, probability, quality
  • Requires: Python >=3
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Project description

![](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.

Project details

Verified details

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Maintainers
Avatar for MatthewReid854 from gravatar.com MatthewReid854

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT
  • Author: Matthew Reid
  • Tags reliability, engineering, RAM, weibull, survival analysis, censored data, lifelines, probability distributions, probability, quality
  • Requires: Python >=3
Classifiers

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0.8.16

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This version

0.1.6

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