Awesome Geospatial

🍃 Organic Maps is a free Android & iOS offline maps app for more than 6M travelers, tourists, hikers, and cyclists. It uses crowd-sourced OpenStreetMap data and is developed with love by the community. No ads, no tracking, no data collection, no crapware. Please donate to support the development!

WebGL2 powered visualization framework

A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.

a language for fast, portable data-parallel computation

Open Source Routing Engine for OpenStreetMap

Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

Python tools for geographic data

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

GeoAI: Artificial Intelligence for Geospatial Data

Computational geometry and spatial indexing on the sphere

Rasterio reads and writes geospatial raster datasets

Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis

A high performance Python graph library implemented in Rust.

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

Build your own Raster dynamic map tile services

Specification for storing geospatial vector data (point, line, polygon) in Parquet

Fast, interactive geospatial data visualization in Jupyter.

Easy access to official spatial data sets of Brazil in R and Python

A Python interface for the Generic Mapping Tools.

Python Package for Airborne RGB machine learning

Simple, concise geographical visualization in Python

geospatial xarray extension powered by rasterio

User friendly Rasterio plugin to read raster datasets.

Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray

Python library for working with any SpatioTemporal Asset Catalog (STAC)

Earth Observation Data Access Gateway

A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.

GeoArrow in Rust, Python, and JavaScript (WebAssembly) with vectorized geometry operations

Cloud Optimized GeoTIFF creation and validation plugin for rasterio

tsl: a PyTorch library for processing spatiotemporal data.

Notebooks and libraries for spatial/geo Python explorations

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

🌎 Python library to access all public routing, isochrones and matrix APIs in a consistent manner.

Download, cache and clip global terrain digital elevation models: Mapzen terrain tiles, Copernicus DEM and SRTM 30m and 90m DEMs.

STAC API implementation with FastAPI.

Tree detection from aerial imagery in Python

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

Schema, functions and a python library for storing and accessing STAC collections and items in PostgreSQL

Tile-based geodata processing using rasterio & Fiona

Geospatial extension for Polars DataFrames.

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

Kriging | Poisson Kriging | Variogram Analysis

The power of Rust for the STAC ecosystem

A Cython port of Martini for fast RTIN terrain mesh generation

Python client for Tile38 geo-database

Python bindings to `hmm` for fast terrain mesh generation

emem is the machine-maintained, external memory of our physical world a.k.a. Satellites for AI.