Verde: Processing and gridding spatial data using Green’s functions
Verde: Processing and gridding spatial data using Green’s functions - Published in JOSS (2018)
https://github.com/fatiando/verde
Keywords
earth-science fatiando-a-terra geophysics geoscience geospatial interpolation machine-learning python python3 scipy scipy-stack
Keywords from Contributors
mesh magnetics inverse-problems finite-volume magnetic-fields open-science gravity transformer archiving measur
Last synced: 2 months ago
JSON representation
Acceptance Criteria
- Revelant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
Repository metadata
Processing and gridding spatial data, machine-learning style
- Host: GitHub
- URL: https://github.com/fatiando/verde
- Owner: fatiando
- License: bsd-3-clause
- Created: 2018-04-25T23:21:08.000Z (over 7 years ago)
- Default Branch: main
- Last Pushed: 2025-10-10T23:14:47.000Z (3 months ago)
- Last Synced: 2025-10-24T08:17:07.758Z (2 months ago)
- Topics: earth-science, fatiando-a-terra, geophysics, geoscience, geospatial, interpolation, machine-learning, python, python3, scipy, scipy-stack
- Language: Python
- Homepage: https://www.fatiando.org/verde
- Size: 82 MB
- Stars: 642
- Watchers: 20
- Forks: 74
- Open Issues: 40
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.rst
- Authors: AUTHORS.md
Owner metadata
- Name: Fatiando a Terra
- Login: fatiando
- Email:
- Kind: organization
- Description: Open-source Python tools for geophysics
- Website: https://www.fatiando.org
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/8174113?v=4
- Repositories: 46
- Last ynced at: 2024-03-27T00:12:13.906Z
- Profile URL: https://github.com/fatiando
GitHub Events
Total
- Issues event: 20
- Watch event: 39
- Delete event: 35
- Issue comment event: 22
- Push event: 105
- Pull request event: 66
- Fork event: 3
- Create event: 36
Last Year
- Issues event: 20
- Watch event: 39
- Delete event: 35
- Issue comment event: 22
- Push event: 105
- Pull request event: 66
- Fork event: 3
- Create event: 36
Committers metadata
Last synced: 2 months ago
Total Commits: 337
Total Committers: 15
Avg Commits per committer: 22.467
Development Distribution Score (DDS): 0.294
Commits in past year: 10
Committers in past year: 3
Avg Commits per committer in past year: 3.333
Development Distribution Score (DDS) in past year: 0.2
| Name | Commits | |
|---|---|---|
| Leonardo Uieda | l****a@g****m | 238 |
| Santiago Soler | s****r@g****m | 52 |
| dependabot[bot] | 4****] | 19 |
| Fatiando a Terra Bot | 5****t | 10 |
| Jesse Pisel | j****l | 5 |
| Souza-junior | 9****r | 2 |
| Matt Tankersley | 8****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 |
Committer domains:
- mailworks.org: 1
- ssec.wisc.edu: 1
Issue and Pull Request metadata
Last synced: 3 months ago
Total issues: 61
Total pull requests: 218
Average time to close issues: over 1 year
Average time to close pull requests: about 1 month
Total issue authors: 12
Total pull request authors: 7
Average comments per issue: 0.9
Average comments per pull request: 0.53
Merged pull request: 179
Bot issues: 1
Bot pull requests: 38
Past year issues: 11
Past year pull requests: 73
Past year average time to close issues: 6 days
Past year average time to close pull requests: 3 days
Past year issue authors: 3
Past year pull request authors: 4
Past year average comments per issue: 0.18
Past year average comments per pull request: 0.25
Past year merged pull request: 59
Past year bot issues: 0
Past year bot pull requests: 14
Top Issue Authors
- leouieda (45)
- santisoler (5)
- mdtanker (2)
- ckohnke (1)
- ThomasMGeo (1)
- Esteban82 (1)
- dependabot[bot] (1)
- joshdunnlime (1)
- mtb-za (1)
- elfring (1)
- gabrahamastro (1)
- ianpdavies (1)
Top Pull Request Authors
- leouieda (132)
- santisoler (39)
- dependabot[bot] (38)
- Souza-junior (4)
- mdtanker (3)
- Phssilva (1)
- JamesSample (1)
Top Issue Labels
- enhancement (25)
- maintenance (19)
- documentation (5)
- bug (4)
- good first issue (4)
- question (2)
- dependencies (1)
Top Pull Request Labels
- dependencies (38)
- github_actions (4)
- documentation (1)
Package metadata
- Total packages: 3
-
Total downloads:
- pypi: 9,768 last-month
- Total docker downloads: 120
- Total dependent packages: 8 (may contain duplicates)
- Total dependent repositories: 35 (may contain duplicates)
- Total versions: 38
- Total maintainers: 2
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: 1.8.1 (published over 1 year ago)
- Last Synced: 2025-10-26T02:10:47.246Z (2 months ago)
- Versions: 16
- Dependent Packages: 6
- Dependent Repositories: 13
- Downloads: 9,768 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: v1.8.1 (published over 1 year ago)
- Last Synced: 2025-10-26T02:10:41.002Z (2 months ago)
- Versions: 12
- 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 almost 4 years ago)
- Last Synced: 2025-10-26T02:10:32.810Z (2 months ago)
- Versions: 10
- Dependent Packages: 2
- Dependent Repositories: 22
-
Rankings:
- Dependent repos count: 7.597%
- Average: 16.877%
- Stargazers count: 17.524%
- Dependent packages count: 19.561%
- Forks count: 22.825%
Dependencies
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- black
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Score: 18.436798354612968