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Tool to convert geopandas vector data into rasterized xarray data.

QuackOSM: an open-source Python and CLI tool for reading OpenStreetMap PBF files using DuckDB

A library to create interactive maps of geographical datasets

Fast DuckDB-powered TypeScript library for tabular, geospatial, vector, AI, Google Sheets, and data visualization workflows on Deno, Node.js, and Bun.

dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium

Library for serializing the GeoJSON vector GIS file format

Performant, cross-platform (web, desktop) GIS app written in Rust

High-performance Terrain and Hydrology Analysis

ArcGIS Python Toolbox for WhiteboxTools

Spatial data processing for geomodeling

A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments

Voronoi / Delaunay tessellations on the sphere

Self-hosted geospatial data catalog with semantic search (pgvector), OGC/STAC APIs, and map builder. Built on FastAPI, PostGIS, React, and MapLibre.

Turn a STAC catalog into a dask-based xarray

A Swift language port of Turf.js.

Raster manipulation for the Julia language

Fast 🌍️ <KML /> processing for python

Bindings for H3 to DuckDB

A hackable lidar viewer

A library for visualizing gridded data 🌐

pycsw is an OGC CSW server implementation written in Python. pycsw fully implements the OpenGIS Catalogue Service Implementation Specification [Catalogue Service for the Web]. Initial development started in 2010 (more formally announced in 2011). The project is certified OGC Compliant, and is an OGC Reference Implementation. pycsw allows for the publishing and discovery of geospatial metadata via numerous APIs (CSW 2/CSW 3, OpenSearch, OAI-PMH, SRU). Existing repositories of geospatial metadata can also be exposed, providing a standards-based metadata and catalogue component of spatial data infrastructures. pycsw is Open Source, released under an MIT license, and runs on all major platforms (Windows, Linux, Mac OS X). Please read the docs at https://pycsw.org/docs for more information.

Generic Mapping Tools Library Wrapper for Julia

Geo Assist is a spatial library to manage spatial data in-memory.

On-Demand Earth System Data Cubes (ESDCs) in Python

A modular Python framework for end to end InSAR and time-series processing with GUI support.

Fast and storage-efficient spatial database engine for OpenStreetMap data

An R 📦 for getting point and gridded climate data by AOI

Geospatial extension for Polars DataFrames.

A Rust crate and Python library for packed, immutable, zero-copy spatial indexes.

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