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AutoClassWrapper

AutoClassWrapper: a Python wrapper for AutoClass C classification - Published in JOSS (2019)

https://github.com/pierrepo/autoclasswrapper

Science Score: 93.0%

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 7 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Keywords from Contributors

shiny

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation

Repository

AutoClassWrapper: a Python :snake: wrapper for AutoClass C classification :package: :rocket:

Basic Info
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 4
  • Open Issues: 4
  • Releases: 12
Created about 8 years ago · Last pushed over 6 years ago
Metadata Files
Readme Changelog Contributing License Code of conduct Zenodo

README.md

AutoClassWrapper: a Python wrapper for AutoClass C classification

License: BSD autoclasswrapper version on PyPI Build Status Documentation Status Binder Zenodo DOI JOSS DOI

AutoClass is an unsupervised Bayesian classification system.

AutoClass C is an implementation of the AutoClass algorithm made by the NASA.

AutoClassWrapper is a Python wrapper to ease the use of Autoclass C.

Installation and dependencies

AutoClass C installation

AutoClass C can be found here. The installation process can be achieved with the following commands: $ wget https://ti.arc.nasa.gov/m/project/autoclass/autoclass-c-3-3-6.tar.gz $ tar zxvf autoclass-c-3-3-6.tar.gz $ rm -f autoclass-c-3-3-6.tar.gz $ export PATH=$PATH:$(pwd)/autoclass-c

Please note that is you are running a 64-bit operating system, you will also need to install the standard 32-bit libraries. For instance, on a Debian/Ubuntu-like system: $ sudo apt-get install -y libc6-i386

AutoClassWrapper installation

Dependencies:

  • Python 3.6 or above
  • Python libraries: NumPy, Pandas, Scipy, matplotlib, chardet

AutoClassWrapper is available through the Python Package Index (PyPI):

$ python3 -m pip install autoclasswrapper

Documentation

Documentation is available on ReadTheDocs

License

AutoClassWrapper is free software made available under the BSD 3-clause license. For more details see the LICENSE file.

Contributing

If you want to report a bug, request a feature, or propose an improvement use the GitHub issue system.

Please, see also the CONTRIBUTING file.

Note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms. See the CODEOFCONDUCT file.

Owner

  • Name: Pierre Poulain
  • Login: pierrepo
  • Kind: user
  • Location: Paris, France

JOSS Publication

AutoClassWrapper: a Python wrapper for AutoClass C classification
Published
July 25, 2019
DOI
Volume 4, Issue 39, Page 1390
Authors
Jean-Michel Camadro ORCID
Mitochondria, Metals and Oxidative Stress group, Institut Jacques Monod, UMR 7592, Univ. Paris Diderot, CNRS, Sorbonne Paris Cité, France.
Pierre Poulain ORCID
Mitochondria, Metals and Oxidative Stress group, Institut Jacques Monod, UMR 7592, Univ. Paris Diderot, CNRS, Sorbonne Paris Cité, France.
Editor
Tania Allard ORCID
Tags
python autoclass Bayesian proteomics clustering
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GitHub Events

Total
Last Year

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 297
  • Total Committers: 4
  • Avg Commits per committer: 74.25
  • Development Distribution Score (DDS): 0.01
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Pierre Poulain p****n@c****t 294
Tania Allard t****d@g****m 1
Kyle Niemeyer k****r@g****m 1
Arfon Smith a****n 1
Committer Domains (Top 20 + Academic)
cupnet.net: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 16
  • Total pull requests: 4
  • Average time to close issues: 2 months
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 5
  • Total pull request authors: 4
  • Average comments per issue: 0.69
  • Average comments per pull request: 0.75
  • Merged pull requests: 4
  • 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
View more stats
Top Authors
Issue Authors
  • pierrepo (9)
  • rpetit3 (2)
  • lowandrew (2)
  • PeterPirog (2)
  • SamGG (1)
Pull Request Authors
  • pierrepo (1)
  • trallard (1)
  • arfon (1)
  • kyleniemeyer (1)
Top Labels
Issue Labels
enhancement (3)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 192 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 27
  • Total maintainers: 1
pypi.org: autoclasswrapper

AutoClassWrapper: a Python wrapper for AutoClass C classification.

  • Versions: 27
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 192 Last month
  • Docker Downloads: 0
Rankings
Docker downloads count: 1.6%
Dependent packages count: 10.1%
Average: 15.1%
Downloads: 15.4%
Forks count: 16.9%
Dependent repos count: 21.6%
Stargazers count: 25.1%
Maintainers (1)
pierrepo
Last synced: 6 months ago

Dependencies

environment.yml conda
  • chardet
  • jupyter
  • matplotlib
  • numpy
  • pandas
  • pip
  • python 3.7.*
  • scipy
requirements.txt pypi
  • chardet *
  • matplotlib *
  • numpy *
  • pandas *
  • scipy *