python-geospatial VS whitebox-tools

Here is also a great list of other geospatial packages.

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.