Data

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Open Source Science

https://github.com/commons-research/read-mine-results

To process a to big dataset, it is needed to work with specific tools.

https://github.com/commons-research/read-mine-results

Science Score: 26.0%

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
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

To process a to big dataset, it is needed to work with specific tools.

Basic Info
  • Host: GitHub
  • Owner: commons-research
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 313 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Contributing License

README.md

read-MINE-results

Release Build status codecov Commit activity License

to handle the big data output of MINEs, we need the specific tools.

Getting started with your project

First, create a repository on GitHub with the same name as this project, and then run the following commands:

bash git init -b main git add . git commit -m "init commit" git remote add origin git@github.com:pamrein/read-MINE-results.git git push -u origin main

Finally, install the environment and the pre-commit hooks with

bash make install

You are now ready to start development on your project! The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

To finalize the set-up for publishing to PyPi or Artifactory, see here. For activating the automatic documentation with MkDocs, see here. To enable the code coverage reports, see here.

Releasing a new version

Repository initiated with fpgmaas/cookiecutter-poetry.

Owner

  • Name: commons-research
  • Login: commons-research
  • Kind: organization

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Dependencies

poetry.lock pypi
  • 153 dependencies
pyproject.toml pypi
  • mypy ^1.5.1 develop
  • pre-commit ^3.4.0 develop
  • pytest ^7.2.0 develop
  • tox ^4.11.1 develop
  • mkdocs ^1.4.2 docs
  • mkdocs-material ^9.2.7 docs
  • mkdocstrings ^0.23.0 docs
  • dask ^2024.6.1
  • ipython ^8.25.0
  • jupyter ^1.0.0
  • numpy ^2.0.0
  • polars ^0.20.31
  • python >=3.10,<4.0