CeRULEo
CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds - Published in JOSS (2023)
Science Score: 95.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓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
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Scientific Fields
Repository
CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
Basic Info
- Host: GitHub
- Owner: lucianolorenti
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://lucianolorenti.github.io/ceruleo/
- Size: 84.1 MB
Statistics
- Stars: 29
- Watchers: 2
- Forks: 6
- Open Issues: 7
- Releases: 15
Topics
Metadata Files
README.md

CeRULEo
CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
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.
Owner
- Name: Luciano Lorenti
- Login: lucianolorenti
- Kind: user
- Location: Berlin, Germany
- Repositories: 31
- Profile: https://github.com/lucianolorenti
JOSS Publication
CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
Authors
Tags
predictive maintenance remaining useful lifeGitHub Events
Total
Last Year
Committers
Last synced: 5 months ago
Top Committers
| Name | 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 |
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
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
- Homepage: https://github.com/lucianolorenti/ceruleo
- Documentation: https://lucianolorenti.github.io/ceruleo/
- License: MIT
-
Latest release: 3.0.6
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- jupyter_contrib_nbextensions *
- keras-tcn *
- mkdocs *
- mkdocs-bibtex *
- mkdocs-jupyter *
- mkdocs-material *
- mkdocstrings *
- tensorflow *
- tensorflow_probability *
- torch *
- torchsummary *
- xgboost *
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- actions/create-release v1 composite
- actions/setup-python v3 composite
- actions/upload-release-asset v1 composite
- pypa/gh-action-pypi-publish release/v1 composite
- AndreMiras/coveralls-python-action develop composite
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- actions/setup-python v2 composite
