fatiando / verde
Processing and gridding spatial data, machine-learning style
Why this job: works in the areas we cover, but does not say which job it does
What it does
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!
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 677
- +1 this week
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.9.0
- Released 7 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 4
- Last 90 days
- Issues
- 76% closed
- 37 still open
- Pull requests
- 387 merged
- 5 waiting
- Releases
- 15
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 100%
- Makefile <1%
Topics
- geophysics
- earth-science
- geospatial
- python
- scipy
- interpolation
- python3
- scipy-stack
- fatiando-a-terra
- geoscience
- machine-learning
Project record
- JobOther AI tools
- StatusListed
- Commits398
- Forks75
- Watching21
- Stars in 28 days+3
- CreatedApr 25, 2018
- First seen by usNov 7, 2026
- CheckedNov 12, 2026