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scikit-image__scikit-image

https://github.com/swe-gym-raw/scikit-image__scikit-image

Science Score: 57.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: SWE-Gym-Raw
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 77.8 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Contributing License Code of conduct Citation Security Support

README.md

scikit-image: Image processing in Python

Image.sc forum Stackoverflow project chat

Installation

  • pip: pip install scikit-image
  • conda: conda install -c conda-forge scikit-image

Also see installing scikit-image.

License

See LICENSE.txt.

Citation

If you find this project useful, please cite:

Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu, and the scikit-image contributors. scikit-image: Image processing in Python. PeerJ 2:e453 (2014) https://doi.org/10.7717/peerj.453

Owner

  • Name: SWE-Gym-Raw
  • Login: SWE-Gym-Raw
  • Kind: organization
  • Email: jingmai@pku.edu.cn

Citation (CITATION.cff) 

cff-version: 1.2.0
title: scikit-image
type: software
authors:
  - name: The scikit-image team
message: "If you use scikit-image in a scientific publication, we would appreciate it if you would cite the following paper:"
preferred-citation:
  type: article
  title: "scikit-image: image processing in Python"
  authors:
  - family-names: van der Walt
    given-names: Stéfan J.
  - family-names: Schönberger
    given-names: Johannes L.
  - family-names: Nunez-Iglesias
    given-names: Juan
  - family-names: Boulogne
    given-names: François
  - family-names: Warner
    given-names: Joshua D.
  - family-names: Yager
    given-names: Neil
  - family-names: Gouillart
    given-names: Emmanuelle
  - family-names: Yu
    given-names: Tony
  - family-names: the scikit-image contributors
  journal: PeerJ
  volume: 2
  start: e453
  year: 2014
  month: 6
  url: "https://doi.org/10.7717/peerj.453"
  doi: 10.7717/peerj.453

GitHub Events

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Last Year
  • Push event: 1
  • Fork event: 1
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Dependencies

pyproject.toml pypi
  • imageio >=2.33,!=2.35.0
  • lazy-loader >=0.4
  • networkx >=3.0
  • numpy >=1.24
  • packaging >=21
  • pillow >=10.1
  • scipy >=1.11.2
  • tifffile >=2022.8.12
requirements/_release_tools.txt pypi
  • changelist ==0.5
requirements/build.txt pypi
  • Cython >=3.0.8
  • build >=1.2.1
  • meson-python >=0.16
  • ninja >=1.11.1.1
  • numpy >=2.0
  • pythran >=0.16
  • setuptools >=68
  • spin ==0.13
requirements/data.txt pypi
  • pooch >=1.6.0
requirements/default.txt pypi
  • imageio >=2.33,
  • lazy-loader >=0.4
  • networkx >=3.0
  • numpy >=1.24
  • packaging >=21
  • pillow >=10.1
  • scipy >=1.11.2
  • tifffile >=2022.8.12
requirements/developer.txt pypi
  • ipython * development
  • pre-commit * development
requirements/docs.txt pypi
  • PyWavelets >=1.6
  • dask >=2022.11.0
  • intersphinx-registry >=0.2411.14
  • ipykernel *
  • ipywidgets *
  • kaleido ==0.2.1
  • matplotlib >=3.7
  • myst-parser *
  • numpydoc >=1.7
  • pandas >=2.0
  • plotly >=5.20
  • pooch >=1.6
  • pydata-sphinx-theme >=0.16
  • pytest-doctestplus *
  • scikit-learn >=1.2
  • seaborn >=0.11
  • sphinx >=8.0
  • sphinx-copybutton *
  • sphinx-gallery >=0.18
  • sphinx_design >=0.5
  • tifffile >=2022.8.12
requirements/optional.txt pypi
  • PyWavelets >=1.6
  • SimpleITK *
  • astropy >=6.0
  • cloudpickle >=3.0
  • dask >=2022.11.0,
  • matplotlib >=3.7
  • pooch >=1.6.0
  • pyamg >=5.2
  • scikit-learn >=1.2
requirements/test.txt pypi
  • asv * test
  • numpydoc >=1.7 test
  • pooch >=1.6.0 test
  • pytest >=7.0 test
  • pytest-cov >=2.11.0 test
  • pytest-doctestplus * test
  • pytest-faulthandler * test
  • pytest-localserver * test
requirements.txt pypi