whitebox-tools VS gdal

Whiteboxtools. Very fast and powerful. Works nice for hydrology and LiDAR. Good interface to Python as well.

Are you planning to mention Whitebox [1]? It seems the most significant existing geospatial project implemented in rust.

[1]: https://www.whiteboxgeo.com/

Here

Here's the link, for those that are interested: https://www.whiteboxgeo.com/

WhiteboxTools is written in Rust (with a Python API): https://github.com/jblindsay/whitebox-tools

Well..it's a white box, as opposed to Esri's black box..

WhiteboxTools (https://www.whiteboxgeo.com/) is a CLI tool that is about 500,000 lines of Rust (https://github.com/jblindsay/whitebox-tools) and is used for geospatial analysis in all kinds of industries. Most people use one of the many front-ends for it though (e.g. the QGIS plugin), so as to avoid the CLI, but at the most basic level, it's just a CLI. (Note, I'm the author of this tool, and so a little biased.)

We are pleased to announce the release of WhiteboxTools Open-Core v2.1 today. WhiteboxTools is an open-source platform for advanced geospatial analysis, and is used for GIS, remote sensing, lidar, hydrology, geomorphology, and many other data processing areas. This release includes new functionality and enhancements, including new tools for the calculation of various surface curvatures, multi-scale land surface parameter calculation, and the popular Geomorphons landform classification method. You may download the WhiteboxTools open-core here. Updated tool description files for the QGIS front-end, which include all of the new tools featured in this release, are available from here (see bottom of page). For more information about usage, please see the user manual.

TiTiler is a dynamic tile server built on FastAPI and Rasterio/GDAL. Its main features include support for Cloud Optimized GeoTIFF(COG), multiple projection methods, various output formats (JPEG, JP2, PNG, WEBP, GTIFF, NumpyTile), WMTS, and virtual mosaic. It also provides Lambda and ECS deployment environments using AWS CDK.

GDAL is the real heart, the python aspect is mostly wrappers around that I'm fairly sure. I love python for the record, the only reason I bring it up, is cause python haters accuse it of being slow, but QGIS drops down to C++ when speed is necessary, like most modern packages do.

gdal 0.15 (repo, docs), a set of Rust bindings for the GDAL library, used for access to geo-spatial data formats, is now out!

GDAL (Geospatial Data Abstraction Library) is a the geospatial data processing library. It handles a lot of Raster/Vector analysis and alteration. gdal_contour and gdal_rasterize which would be used to create isolines (contour lines) . There's more complex processing and analyses than that. More common is reprojecting multiple layers, and some that being as Vector files, into different coordiatne systems.

Access: GDAL

As an example we use GDAL heavily through its C# binds. We do all the additional data processing, that isn't done by the C++ GDAL, in C#. The final results are both Data (held in memory or temp exported to a file), and a normalized Raster Texture that we can display on a TextureRect. Most of the C# data processing scripts aren't even Inheriting from any Godot Class.

I think this would be the best way to handle this. GDAL is what you should look into for this project.