OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
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Updated
Nov 2, 2024 - Python
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
Long list of geospatial tools and resources
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
A cluster computing framework for processing large-scale geospatial data
USC urban data science course series with Python and Jupyter
Repository contains pgRouting library. Development branch is "develop", stable branch is "master"
High-level geospatial data visualization library for Python.
Raster-based Spatial Analytics for Python
Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data sc…
Kriging Toolkit for Python
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
Google Earth Engine for R
Java map matching library for integrating the map into software and services with state-of-the-art online and offline map matching that can be used stand-alone and in the cloud.
The GIS Tools for Hadoop are a collection of GIS tools for spatial analysis of big data.
Boost.Geometry - Generic Geometry Library | Requires C++14 since Boost 1.75
Spatial Single Cell Analysis in Python
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis.
Notebooks and libraries for spatial/geo Python explorations
Tidy Geospatial Networks in R
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