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

Deep probabilistic analysis of single-cell and spatial omics data

PySAL: Python Spatial Analysis Library Meta-Package

Repository contains pgRouting library. Development branch is "develop", stable branch is "master"

USC urban data science course series in Python

High-level geospatial data visualization library for Python.

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

A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

Spatial analysis algorithms for xarray implemented in numba

Kriging Toolkit for Python

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

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 science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times

GeoDa: An introduction to spatial data analysis

Google Earth Engine for R

OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

The Esri Geometry API for Java enables developers to write custom applications for analysis of spatial data. This API is used in the Esri GIS Tools for Hadoop and other 3rd-party data processing solutions.

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.

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics

Spatial Single Cell Analysis in Python

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

A single-node analytical database engine with geospatial as a first-class citizen

PDFM Embeddings: location-based vectors for geo-spatial analysis.

Tidy Geospatial Networks in R

The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis.