{"id":13688915,"url":"https://github.com/fatiando/verde","last_synced_at":"2025-05-14T13:07:49.114Z","repository":{"id":41207673,"uuid":"131073898","full_name":"fatiando/verde","owner":"fatiando","description":"Processing and gridding spatial data, machine-learning 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src=\"https://github.com/fatiando/verde/raw/main/doc/_static/readme-banner.png\" alt=\"Verde\"\u003e\n\n\u003ch2 align=\"center\"\u003eProcessing and gridding spatial data, machine-learning style\u003c/h2\u003e\n\n\u003cp align=\"center\"\u003e\n\u003ca href=\"https://www.fatiando.org/verde\"\u003e\u003cstrong\u003eDocumentation\u003c/strong\u003e (latest)\u003c/a\u003e •\n\u003ca href=\"https://www.fatiando.org/verde/dev\"\u003e\u003cstrong\u003eDocumentation\u003c/strong\u003e (main branch)\u003c/a\u003e •\n\u003ca href=\"https://github.com/fatiando/verde/blob/main/CONTRIBUTING.md\"\u003e\u003cstrong\u003eContributing\u003c/strong\u003e\u003c/a\u003e •\n\u003ca href=\"https://www.fatiando.org/contact/\"\u003e\u003cstrong\u003eContact\u003c/strong\u003e\u003c/a\u003e •\n\u003ca href=\"https://github.com/orgs/fatiando/discussions\"\u003e\u003cstrong\u003eAsk a question\u003c/strong\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\nPart of the \u003ca href=\"https://www.fatiando.org\"\u003e\u003cstrong\u003eFatiando a Terra\u003c/strong\u003e\u003c/a\u003e project\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n\u003ca href=\"https://pypi.python.org/pypi/verde\"\u003e\u003cimg src=\"http://img.shields.io/pypi/v/verde.svg?style=flat-square\" alt=\"Latest version on PyPI\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/conda-forge/verde-feedstock\"\u003e\u003cimg src=\"https://img.shields.io/conda/vn/conda-forge/verde.svg?style=flat-square\" alt=\"Latest version on conda-forge\"\u003e\u003c/a\u003e\n\u003ca href=\"https://codecov.io/gh/fatiando/verde\"\u003e\u003cimg src=\"https://img.shields.io/codecov/c/github/fatiando/verde/main.svg?style=flat-square\" alt=\"Test coverage status\"\u003e\u003c/a\u003e\n\u003ca href=\"https://pypi.python.org/pypi/verde\"\u003e\u003cimg src=\"https://img.shields.io/pypi/pyversions/verde.svg?style=flat-square\" alt=\"Compatible Python versions.\"\u003e\u003c/a\u003e\n\u003ca href=\"https://doi.org/10.21105/joss.00957\"\u003e\u003cimg src=\"https://img.shields.io/badge/doi-10.21105%2Fjoss.00957-blue?style=flat-square\" alt=\"DOI used to cite this software\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## About\n\n**Verde** is a Python library for processing spatial data (topography, point\nclouds, bathymetry, geophysics surveys, etc) and interpolating them on a 2D\nsurface (i.e., gridding) with a hint of machine learning.\n\nOur core interpolation methods are inspired by machine-learning.\nAs such, Verde implements an interface that is similar to the popular\n[scikit-learn](https://scikit-learn.org/) library.\nWe also provide other analysis methods that are often used in combination with\ngridding, like trend removal, blocked/windowed operations, cross-validation,\nand more!\n\n## Project goals\n\n* Provide a machine-learning inspired interface for gridding spatial data\n* Integration with the Scipy stack: numpy, pandas, scikit-learn, and xarray\n* Include common processing and data preparation tasks, like blocked means and 2D trends\n* Support for gridding scalar and vector data (like wind speed or GPS velocities)\n* Support for both Cartesian and geographic coordinates\n\n## Project status\n\n**Verde is stable and ready for use!**\nThis means that we are careful about introducing backwards incompatible changes\nand will provide ample warning when doing so. Upgrading minor versions of Verde\nshould not require making changes to your code.\n\nThe first major release of Verde was focused on meeting most of these initial\ngoals and establishing the look and feel of the library.\nLater releases will focus on expanding the range of gridders available,\noptimizing the code, and improving algorithms so that larger-than-memory\ndatasets can also be supported.\n\n## Getting involved\n\n🗨️ **Contact us:**\nFind out more about how to reach us at\n[fatiando.org/contact](https://www.fatiando.org/contact/).\n\n👩🏾‍💻 **Contributing to project development:**\nPlease read our\n[Contributing Guide](https://github.com/fatiando/verde/blob/main/CONTRIBUTING.md)\nto see how you can help and give feedback.\n\n🧑🏾‍🤝‍🧑🏼 **Code of conduct:**\nThis project is released with a\n[Code of Conduct](https://github.com/fatiando/community/blob/main/CODE_OF_CONDUCT.md).\nBy participating in this project you agree to abide by its terms.\n\n\u003e **Imposter syndrome disclaimer:**\n\u003e We want your help. **No, really.** There may be a little voice inside your\n\u003e head that is telling you that you're not ready, that you aren't skilled\n\u003e enough to contribute. We assure you that the little voice in your head is\n\u003e wrong. Most importantly, **there are many valuable ways to contribute besides\n\u003e writing code**.\n\u003e\n\u003e *This disclaimer was adapted from the*\n\u003e [MetPy project](https://github.com/Unidata/MetPy).\n\n## License\n\nThis is free software: you can redistribute it and/or modify it under the terms\nof the **BSD 3-clause License**. A copy of this license is provided in\n[`LICENSE.txt`](https://github.com/fatiando/verde/blob/main/LICENSE.txt).\n","funding_links":[],"categories":["`Python` processing of optical imagery (non deep learning)","Python","Geospatial Library","Software"],"sub_categories":["Processing imagery - post processing","Python","Geospatial"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffatiando%2Fverde","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffatiando%2Fverde","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffatiando%2Fverde/lists"}