RePyability

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Reliability Engineering Tools

This is a series of tools created to make an open source set of methods to be used by reliability engineers to make it more accessible for students right through to practicing professionals.

Install

RePyability can be installed via pip using the PyPI repository

pip install repyability

Documentation

The full documentation — overview, user guide, and API reference — is hosted at derrynknife.github.io/RePyability.

It is built with MkDocs from the sources in docs/ and mkdocs.yml, and published to GitHub Pages on every push to master. To build and serve it locally:

pip install -e .[docs]
mkdocs serve            # then open http://127.0.0.1:8000

The source lives in docs/ and mkdocs.yml; start with docs/index.md.

Testing

Run the testing suite by simply executing:

pytest

or use coverage to get a coverage report:

coverage run -m pytest  # Run pytest under coverage's watch
coverage report         # Print coverage report
coverage html           # Make a html coverage report (really useful), open htmlcov/index.html

Pre-commit

TL;DR

  • Pip install pre-commit (it's in requirements_dev.txt anyways)
  • Run pre-commit install which sets up the git hook scripts
  • If you'd like, run pre-commit run --all-files to run the hooks on all files
  • When you go to commit, it will only proceed after all the hooks succeed

Why?

To ensure the good code quality and consistency it is recommended that when contributing to this repository to use the provided .pre-commit-config.yaml configuration for the Python package pre-commit (https://pre-commit.com). Upon making a commit, it checks that imports and requirements are sorted, syntax is up-to-date, code is formatted, linted, and statically type-checked, all with the same tools and configurations as one another.

Project links

Data verified by PyPI on Jul 18, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
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  • Released:
Newer release available (0.8.0)

2 maintainers

PyPI data
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Avatar for anthonycarbone from gravatar.com anthonycarbone Avatar for Derryn from gravatar.com Derryn

Credits

Author: derrynknife

GitHub Statistics

Data verified by PyPI on Jul 18, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (Copyright (c) 2020 The Python Packaging Authority)

Requires

Python >=3.11

Provides Extra

dev docs

Tags

reliability reliability-engineering reliability-block-diagram rbd survival-analysis availability maintainability

Classifiers

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