Open-source alternatives to Xarray Spatial

A utility to search, download and process Landsat 8 satellite imagery

Construct and use OGC TileMatrixSets (TMS)

A light-weight, versatile XYZ tile server, built with Flask and Rasterio :earth_africa:

BlenderGIS is an addon for Blender that provides a suite of tools for importing, georeferencing, and rendering geographic data and terrain meshes. It functions as a 3D terrain generator and geographic data importer, enabling the creation of three-dimensional surfaces from elevation models, contour lines, and topographic textures. The project distinguishes itself through its ability to fetch basemaps, building footprints, and street data directly from web services into the 3D environment. It includes a georeferencing toolset to align coordinates and virtual cameras using spatial reference syst

Read and write rasters in parallel using Rasterio and Dask

Scripts to extract spectral change information from LandTrendr data to a geodatabase

Processing and gridding spatial data, machine-learning style

OSMnx is a Python library for downloading, modeling, and analyzing street networks and other geospatial features from OpenStreetMap. It enables users to retrieve and work with real-world infrastructure data anywhere in the world, providing tools for network analysis, spatial queries, and visualization. The library offers capabilities for working with urban features such as building footprints, transit stops, and elevation data, along with network statistics like intersection density and circuity. It supports multiple travel modes including driving, walking, and biking, and can calculate short

Using SQLAlchemy with spatial databases

Software for Advanced Spatial Econometrics

GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic geometries—points, lines, and polygons—as a first-class column type within DataFrames, enabling users to store, manipulate, and analyze vector spatial data alongside traditional tabular attributes. The library is built on top of proven geospatial components: it uses Shapely for all geometric operations, Fiona and GDAL for reading and writing standard spatial file formats, PyProj for coordinate reprojection, and an R‑tree spatial index (from Shapely) to accelerate spatial queries. Wh

geopy is a Python geocoding library and geolocation client used to convert human-readable addresses into geographic coordinates and resolve coordinates back into street addresses using various third-party web services. The library provides a consistent provider-based interface that abstracts multiple external geocoding services, allowing for interchangeable backends. It includes built-in request rate limiting and asynchronous client interfaces to manage API call frequency and execute concurrent lookups without halting execution. Beyond geocoding, the project includes geospatial utilities for

Geospatial Image Processing for Python

geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery analysis using Google Earth Engine data and cloud computing. It provides a mapping tool for displaying geospatial datasets within Jupyter notebooks and a suite of tools for classifying imagery and calculating zonal statistics. The project includes a utility to convert geospatial analysis scripts from JavaScript into Python code to facilitate data manipulation. It also enables the generation of timelapse animations and time-series visualizations from satellite imagery catalogs. The

A Python package for delineating nested surface depressions from digital elevation data.

WhiteboxTools Python Frontend

ArcGIS Python Toolbox for WhiteboxTools

Xarray-Beam is a Python library for building Apache Beam pipelines with Xarray datasets.

geobeam adds GIS capabilities to your Apache Beam pipelines.

gpdvega is a bridge between GeoPandas and Altair that allows to seamlessly chart geospatial data

Tool to suck data from ArcGIS Server and spit it into PostgreSQL

framework for large-scale SAR satellite data processing

Python interface to PROJ (cartographic projections and coordinate transformations library)

Extract and analyze space-time-series characteristics from raster data.