CeRULEo

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds - Published in JOSS (2023)

https://github.com/lucianolorenti/ceruleo

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
    1 of 6 committers (16.7%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

predictive-maintenance remaining-useful-life remaining-useful-life-prediction time-series

Scientific Fields

Artificial Intelligence and Machine Learning Computer Science - 83% confidence
Last synced: 4 months ago · JSON representation

Repository

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds

Basic Info
Statistics
  • Stars: 29
  • Watchers: 2
  • Forks: 6
  • Open Issues: 7
  • Releases: 15
Topics
predictive-maintenance remaining-useful-life remaining-useful-life-prediction time-series
Created about 5 years ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Zenodo

README.md


CeRULEo


CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds

Coverage Status Documentation pypi python-version status

What is it?

CeRULeo is a Python package that provides a flexible environment designed to make working with predictive maintenance task both easy and intuitive.

Installation

It is recommended to use pip for installation. Please make sure the latest version is installed:

bash pip install ceruleo # normal install pip install --upgrade ceruleo # or update if needed

Alternatively, you could clone and install it from the sources:

bash git clone https://github.com/lucianolorenti/ceruleo.git cd ceruleo pip install .

Contributing

We love your input! We want to make contributing to this project as easy and transparent as possible, whether it's:

  • Reporting a bug
  • Discussing the current state of the code
  • Submitting a fix
  • Proposing new features

Please feel free to open an issue if you have any questions, find any bugs, or have any ideas.
Further information on how to contribute can be found by clicking here.

Made with <3 @
University of Padova

Owner

  • Name: Luciano Lorenti
  • Login: lucianolorenti
  • Kind: user
  • Location: Berlin, Germany

JOSS Publication

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
Published
August 10, 2023
Volume 8, Issue 88, Page 5294
Authors
Luciano Lorenti ORCID
Department of Engineering, University of Padova. Italy
Gian Antonio Susto ORCID
Department of Engineering, University of Padova. Italy
Editor
Matthew Feickert ORCID
Tags
predictive maintenance remaining useful life

GitHub Events

Total
Last Year

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 462
  • Total Committers: 6
  • Avg Commits per committer: 77.0
  • Development Distribution Score (DDS): 0.015
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Luciano Lorenti l****i@g****m 455
Luciano Lorenti l****i@e****t 3
TrellixVulnTeam 1****m 1
Matthew Feickert m****t@c****h 1
Gian Antonio Susto g****o@g****m 1
FrizzoDavide 1****e 1
Committer Domains (Top 20 + Academic)
cern.ch: 1 eng.it: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 11
  • Total pull requests: 31
  • Average time to close issues: 4 months
  • Average time to close pull requests: about 2 months
  • Total issue authors: 5
  • Total pull request authors: 4
  • Average comments per issue: 1.27
  • Average comments per pull request: 0.97
  • Merged pull requests: 24
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • lucianolorenti (7)
  • FrizzoDavide (2)
  • ulf1 (1)
  • tilman151 (1)
  • AnnikaStein (1)
Pull Request Authors
  • lucianolorenti (31)
  • FrizzoDavide (2)
  • matthewfeickert (1)
  • TrellixVulnTeam (1)
Top Labels
Issue Labels
help wanted (3)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 68 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 14
  • Total maintainers: 1
pypi.org: ceruleo

Remaining useful life estimation utilities

  • Versions: 14
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 68 Last month
Rankings
Dependent packages count: 6.6%
Stargazers count: 14.9%
Forks count: 15.7%
Average: 18.1%
Downloads: 22.5%
Dependent repos count: 30.6%
Maintainers (1)
Last synced: 4 months ago

Dependencies

requirements.txt pypi
  • jupyter_contrib_nbextensions *
  • keras-tcn *
  • mkdocs *
  • mkdocs-bibtex *
  • mkdocs-jupyter *
  • mkdocs-material *
  • mkdocstrings *
  • tensorflow *
  • tensorflow_probability *
  • torch *
  • torchsummary *
  • xgboost *
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