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JOSS: https://github.com/fatiando/verde

earth-science fatiando-a-terra geophysics geoscience geospatial interpolation machine-learning python python3 scipy scipy-stack

Score: 20.489809127365127

Last synced: about 7 hours ago
JSON representation

Repository metadata:

Processing and gridding spatial data, machine-learning style

Owner metadata:

GitHub Events

Total
Last Year

Committers metadata

Last synced: about 1 month ago

Total Commits: 361
Total Committers: 16
Avg Commits per committer: 22.563
Development Distribution Score (DDS): 0.327

Commits in past year: 28
Committers in past year: 5
Avg Commits per committer in past year: 5.6
Development Distribution Score (DDS) in past year: 0.464

Name Email Commits
Leonardo Uieda l****a@g****m 243
Santiago Soler s****r@g****m 55
dependabot[bot] 4****] 30
Fatiando a Terra Bot 5****t 10
Matt Tankersley 8****r 5
Jesse Pisel j****l 5
Souza-junior 9****r 2
Gabriel g****s@u****r 2
David Hoese d****e@s****u 2
Rowan Cockett r****1@g****m 1
Lindsey Heagy l****y@g****m 1
James Sample j****e@g****m 1
Goto15 4****5 1
Federico Esteban f****n@g****m 1
DC Slagel d****s@m****g 1
Arfon Smith a****n 1

Issue and Pull Request metadata

Last synced: about 2 months ago

Total issues: 66
Total pull requests: 234
Average time to close issues: over 1 year
Average time to close pull requests: about 1 month
Total issue authors: 13
Total pull request authors: 8
Average comments per issue: 1.06
Average comments per pull request: 0.55
Merged pull request: 192
Bot issues: 1
Bot pull requests: 44

Past year issues: 7
Past year pull requests: 37
Past year average time to close issues: 30 days
Past year average time to close pull requests: 7 days
Past year issue authors: 4
Past year pull request authors: 5
Past year average comments per issue: 1.29
Past year average comments per pull request: 0.38
Past year merged pull request: 29
Past year bot issues: 0
Past year bot pull requests: 10

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/fatiando/verde

Top Issue Authors

  • leouieda (46)
  • santisoler (6)
  • mdtanker (4)
  • ckohnke (1)
  • Gabriel-Goes (1)
  • ThomasMGeo (1)
  • Esteban82 (1)
  • dependabot[bot] (1)
  • joshdunnlime (1)
  • mtb-za (1)
  • elfring (1)
  • gabrahamastro (1)
  • ianpdavies (1)

Top Pull Request Authors

  • leouieda (136)
  • dependabot[bot] (44)
  • santisoler (41)
  • mdtanker (6)
  • Souza-junior (4)
  • Gabriel-Goes (1)
  • Phssilva (1)
  • JamesSample (1)

Top Issue Labels

  • enhancement (27)
  • maintenance (20)
  • bug (5)
  • documentation (5)
  • good first issue (4)
  • question (2)
  • dependencies (1)

Top Pull Request Labels

  • dependencies (44)
  • github_actions (10)
  • documentation (1)

Package metadata

pypi.org: verde

Processing and gridding spatial data, machine-learning style

  • Homepage: https://github.com/fatiando/verde
  • Documentation: https://www.fatiando.org/verde
  • Licenses: BSD 3-Clause License
  • Latest release: 1.9.0 (published 3 months ago)
  • Last Synced: 2026-05-01T22:02:04.574Z (about 2 months ago)
  • Versions: 17
  • Dependent Packages: 6
  • Dependent Repositories: 13
  • Downloads: 9,692 Last month
  • Docker Downloads: 120
  • Rankings:
    • Dependent packages count: 1.267%
    • Stargazers count: 2.754%
    • Dependent repos count: 4.08%
    • Average: 4.117%
    • Docker downloads count: 4.162%
    • Forks count: 5.307%
    • Downloads: 7.131%
  • Maintainers (2)
proxy.golang.org: github.com/fatiando/verde

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/fatiando/verde#section-documentation
  • Licenses: bsd-3-clause
  • Latest release: v1.9.0 (published 3 months ago)
  • Last Synced: 2026-05-01T22:02:06.489Z (about 2 months ago)
  • Versions: 13
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 5.426%
    • Average: 5.609%
    • Dependent repos count: 5.791%
conda-forge.org: verde

Verde is a Python library for processing spatial data (topography, point clouds, bathymetry, geophysics surveys, etc) and interpolating them on a 2D surface (i.e., gridding) with a hint of machine learning. Our core interpolation methods are inspired by machine-learning. As such, Verde implements an interface that is similar to the popular scikit-learn library. We also provide other analysis methods that are often used in combination with gridding, like trend removal, blocked/windowed operations, cross-validation, and more!

  • Homepage: http://github.com/fatiando/verde
  • Licenses: BSD-3-Clause
  • Latest release: 1.7.0 (published about 4 years ago)
  • Last Synced: 2026-03-19T16:10:32.857Z (3 months ago)
  • Versions: 10
  • Dependent Packages: 2
  • Dependent Repositories: 22
  • Downloads: 61,244 Total
  • Rankings:
    • Dependent repos count: 7.597%
    • Average: 16.877%
    • Stargazers count: 17.524%
    • Dependent packages count: 19.561%
    • Forks count: 22.825%
guix: python-verde

Processing and gridding spatial data, machine-learning style

  • Homepage: https://github.com/fatiando/verde
  • Documentation: https://git.savannah.gnu.org/cgit/guix.git/tree/gnu/packages/geo.scm#n1862
  • Licenses: bsd-3
  • Latest release: 1.8.1 (published 4 months ago)
  • Last Synced: 2026-04-07T03:01:25.798Z (3 months ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Dependent packages count: 0.0%
    • Average: 100%

Dependencies

env/requirements-build.txt pypi
  • build *
  • twine *
env/requirements-docs.txt pypi
  • cartopy >=0.18
  • matplotlib *
  • pyproj *
  • sphinx ==4.5.
  • sphinx-book-theme ==0.3.
  • sphinx-copybutton ==0.5.
  • sphinx-design ==0.1.
  • sphinx-gallery ==0.10.
env/requirements-style.txt pypi
  • black *
  • flake8 *
  • flake8-bugbear *
  • flake8-builtins *
  • flake8-functions *
  • flake8-mutable *
  • flake8-rst-docstrings *
  • flake8-simplify *
  • flake8-unused-arguments *
  • isort *
  • pathspec *
  • pep8-naming *
env/requirements-test.txt pypi
  • cartopy >=0.18 test
  • coverage * test
  • matplotlib * test
  • pytest * test
  • pytest-cov * test
  • pytest-mpl * test
.github/workflows/docs.yml actions
  • actions/cache v3 composite
  • actions/checkout v2 composite
  • actions/checkout 5a4ac9002d0be2fb38bd78e4b4dbde5606d7042f composite
  • actions/download-artifact v2 composite
  • actions/upload-artifact v2 composite
  • conda-incubator/setup-miniconda v2 composite
  • styfle/cancel-workflow-action 148d9a848c6acaf90a3ec30bc5062f646f8a4163 composite
.github/workflows/pypi.yml actions
  • actions/checkout v2 composite
  • actions/download-artifact v2 composite
  • actions/setup-python v2 composite
  • actions/upload-artifact v2 composite
  • pypa/gh-action-pypi-publish bce3b74dbf8cc32833ffba9d15f83425c1a736e0 composite
.github/workflows/style.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/test.yml actions
  • actions/cache v3 composite
  • actions/checkout v2 composite
  • codecov/codecov-action v1 composite
  • conda-incubator/setup-miniconda v2 composite
  • styfle/cancel-workflow-action 148d9a848c6acaf90a3ec30bc5062f646f8a4163 composite
environment.yml conda
  • black
  • build
  • cartopy >=0.20
  • coverage
  • dask !=2021.03.0
  • flake8
  • flake8-bugbear
  • flake8-builtins
  • flake8-functions
  • flake8-mutable
  • flake8-rst-docstrings
  • flake8-simplify
  • gmt 6.3.*
  • ipython
  • isort
  • matplotlib 3.5.*
  • numba
  • numpy
  • pandas
  • pathspec
  • pep8-naming
  • pip
  • pooch
  • pygmt 0.6.*
  • pykdtree
  • pyproj
  • pytest
  • pytest-cov
  • pytest-mpl
  • python 3.10
  • scikit-learn
  • scipy
  • sphinx 4.5.*
  • sphinx-book-theme 0.3.*
  • sphinx-copybutton 0.5.*
  • sphinx-design 0.1.*
  • sphinx-gallery 0.10.*
  • twine
  • xarray