cmocean

Colormap setup for standardizing commonly-plotting oceanographic variables.

https://github.com/matplotlib/cmocean

Science Score: 23.0%

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
  • DOI references
  • Academic publication links
  • Committers with academic emails
    2 of 20 committers (10.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.6%) to scientific vocabulary

Keywords from Contributors

gtk qt tk wx mesh closember cython geophysics notebook climate
Last synced: 10 months ago · JSON representation

Repository

Colormap setup for standardizing commonly-plotting oceanographic variables.

Basic Info
  • Host: GitHub
  • Owner: matplotlib
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 19 MB
Statistics
  • Stars: 246
  • Watchers: 13
  • Forks: 52
  • Open Issues: 14
  • Releases: 16
Created over 11 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

cmocean

Build Status Code Coverage License:MIT Conda Version Python Package Index <!-- Documentation Status --> <!-- Code Style Status -->

Documentation available: http://matplotlib.org/cmocean/.

We have a paper with guidelines to colormap selection for your application and a description of the cmocean colormaps: Thyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016). True colors of oceanography. Oceanography, 29(3), 10. link: http://tos.org/oceanography/assets/docs/29-3_thyng.pdf

Besides Python, the cmocean colormaps are also available:

To install: pip install cmocean

To install with Anaconda: conda install -c conda-forge cmocean

If you want to be able to use the plots submodule, you can instead install with:

pip install "cmocean[plots]"

which will also install viscm and colorspacious.

Owner

  • Name: Matplotlib Developers
  • Login: matplotlib
  • Kind: organization

GitHub Events

Total
  • Issues event: 3
  • Watch event: 15
  • Issue comment event: 1
  • Pull request event: 3
  • Fork event: 1
  • Create event: 1
Last Year
  • Issues event: 3
  • Watch event: 15
  • Issue comment event: 1
  • Pull request event: 3
  • Fork event: 1
  • Create event: 1

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 222
  • Total Committers: 20
  • Avg Commits per committer: 11.1
  • Development Distribution Score (DDS): 0.131
Past Year
  • Commits: 19
  • Committers: 4
  • Avg Commits per committer: 4.75
  • Development Distribution Score (DDS): 0.526
Top Committers
Name Email Commits
Kristen M. Thyng k****g@g****m 193
dependabot[bot] 4****] 7
Rémau w****g 3
ocefpaf o****f@g****m 2
andrew-s28 a****7@g****m 2
Adam J. Stewart a****6@g****m 1
Ali Ramadhan a****n@g****m 1
Andy Wickert a****y@n****m 1
Ilja Kocken j****r 1
Jed Brown j****d@j****g 1
LGTM Migrator l****r 1
MatthewFlamm 3****m 1
Matthias Bussonnier b****s@g****m 1
Todd t****8@g****m 1
shaunwbell s****l@n****v 1
Clément Robert c****2@p****m 1
Mike McCann M****e@g****m 1
Pega j****e@g****m 1
Pierre Cazenave p****a@p****k 1
bastorer s****n@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 36
  • Total pull requests: 81
  • Average time to close issues: 6 months
  • Average time to close pull requests: 14 days
  • Total issue authors: 29
  • Total pull request authors: 25
  • Average comments per issue: 2.81
  • Average comments per pull request: 0.74
  • Merged pull requests: 72
  • Bot issues: 0
  • Bot pull requests: 8
Past Year
  • Issues: 4
  • Pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 4
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 1
Top Authors
Issue Authors
  • kthyng (5)
  • stefraynaud (2)
  • TomLav (2)
  • SkirOwen (2)
  • empet (1)
  • kjordahl (1)
  • edsaac (1)
  • Mascagni-ML (1)
  • QuLogic (1)
  • neutrinoceros (1)
  • caiostringari (1)
  • rbeucher (1)
  • alpha-beta-soup (1)
  • mdunphy (1)
  • fischcheng (1)
Pull Request Authors
  • kthyng (48)
  • dependabot[bot] (10)
  • ocefpaf (4)
  • neutrinoceros (3)
  • larsoner (2)
  • pwcazenave (2)
  • MatthewFlamm (2)
  • andrew-s28 (2)
  • Carreau (1)
  • japhir (1)
  • shaunwbell (1)
  • kianmeng (1)
  • MBARIMike (1)
  • ali-ramadhan (1)
  • adamjstewart (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (10)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 83,785 last-month
  • Total docker downloads: 647
  • Total dependent packages: 77
    (may contain duplicates)
  • Total dependent repositories: 295
    (may contain duplicates)
  • Total versions: 15
  • Total maintainers: 1
pypi.org: cmocean

Colormaps for Oceanography

  • Versions: 10
  • Dependent Packages: 58
  • Dependent Repositories: 191
  • Downloads: 83,785 Last month
  • Docker Downloads: 647
Rankings
Dependent packages count: 0.3%
Dependent repos count: 1.1%
Docker downloads count: 1.4%
Downloads: 2.0%
Average: 2.6%
Stargazers count: 4.7%
Forks count: 5.9%
Maintainers (1)
Last synced: 10 months ago
conda-forge.org: cmocean
  • Versions: 5
  • Dependent Packages: 19
  • Dependent Repositories: 104
Rankings
Dependent packages count: 3.3%
Dependent repos count: 3.3%
Average: 14.9%
Forks count: 26.3%
Stargazers count: 26.7%
Last synced: 11 months ago

Dependencies

requirements.txt pypi
  • matplotlib *
  • numpy *
setup.py pypi
  • matplotlib *
  • numpy *
.github/workflows/codeql.yml actions
  • actions/checkout v3 composite
  • github/codeql-action/analyze v2 composite
  • github/codeql-action/autobuild v2 composite
  • github/codeql-action/init v2 composite
.github/workflows/test.yaml actions
  • actions/cache v3 composite
  • actions/checkout v3 composite
  • codecov/codecov-action v3 composite
  • conda-incubator/setup-miniconda v2 composite