GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Long list of geospatial tools and resources
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
ππΊοΈ The most powerful leaflet plugin for drawing and editing geometry layers
Documentation and samples for ArcGIS API for Python
GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.
MovingPandas - a Python library for movement data exploration and analysis
Community Datasets added by users and made available for use at large
Overture Maps Data
Easy access to official spatial data sets of Brazil in R and Python
Geospatial resources for web development :earth_africa: πΊοΈ
GeoDa: An introduction to spatial data analysis
Google Earth Engine for R
Distributed version-control for geospatial and tabular data
Python framework for integrating geospatial data, 3D city modeling, and urban simulation.
GeoWave provides geospatial and temporal indexing on top of Accumulo, HBase, BigTable, Cassandra, Kudu, Redis, RocksDB, and DynamoDB.