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GeezerVison is showing vis.gl — Frameworks | vis.gl | vis.gl vis.gl Framework Catalog The vis.gl Framework Catalog The vis.gl frameworks support GPU-powered geospatial visualization and analytics on the web. Each framework can be used independently or combined through shared conventions. Frameworks provide composable modules such as loaders, visualization layers, and math utilities that developers can cherry-pick and combine for their applications. The kepler.gl demo application is a widely used geospatial tool for visualization and exploration of geospatial data using deck.gl. It demonstrates the power of the kepler.gl application framework, designed to let users build advanced custom geospatial applications.
Providing high-performance, GPU-powered visualization layers for large scale geospatial data. deck.gl is the cornerstone of the vis.gl framework suite. A selection of submodules provide layers for various geospatial and 3D use cases.
Python bindings for deck.gl that enable powerful custom geospatial visualizations to be programmed directly in Jupyter Notebooks.
A wide range of highly optimized, framework-independent loaders for geospatial, tabular and 3D file formats. Supports worker-based binary data loading. Supported outputs include geospatial layers, point clouds, 3D geometries, images, textures and tabular data.
Flowmap.gl is a flow map drawing layer for deck.gl. It can be used for visualization of geographic movement: mobility, transportation, migration, etc.
Unofficial layers, basemaps, add-on modules for deck.gl including high-performance feature editing layers for deck.gl.
An open source React toolkit for building human and agent collaborative analytics apps with DuckDB, modular UI components, and integrations for popular data visualization libraries.
Related Frameworks In addition to the core frameworks, the vis.gl framework suite integrates with a number of related open source frameworks that are not under open governance. |
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