Reverse Dependencies of rio-cogeo
The following projects have a declared dependency on rio-cogeo:
- cgls-cpe — This package is in the cgls cloud processing environment
- digitalarztools — Digital Arz tools for applications
- eodatasets3 — Packaging, metadata and provenance for OpenDataCube EO3 datasets
- experiment-goodies — Useful helpers, callbacks and more for experimenting with ml models
- fake-geo-images — Fake geospatial images for unit tests
- fldpln — Flood inundation modeling and mapping using the FLDPLN model
- geemap — A Python package for interactive mapping using Google Earth Engine and ipyleaflet
- geoips — Geolocated Information Processing System
- geomanager — Wagtail based Geospatial Data Manager
- geomockimages — A module to programmatically create geotiff images which can be used for unit tests.
- geospatial — A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
- glam-processing — no summary
- gval — Flexible, portable, and efficient geospatial evaluations for a variety of data.
- large-image-source-rasterio — A rasterio tilesource for large_image.
- leafmap — A Python package for geospatial analysis and interactive mapping in a Jupyter environment.
- net2cog — NetCDF to COG Conversion Service
- pygis — A Python package for installing optional dependencies for geemap and leafmap.
- raster-loader — Python library for loading GIS raster data to standard cloud-based data warehouses that don't natively support raster data.
- rastless-cli — A cli for managing data and user access for the cloud application rastless
- rio-viz — Visualize Cloud Optimized GeoTIFF in browser
- three-d-city-model-generator — 3d-city-model-generator is an easy and one-stop tool to output 3d city models for microclimate simulation by integrating multiple geospatial open-data
- titiler.extensions — Extensions for TiTiler Factories.
- up42-blockutils — Block development toolkit for UP42
- voxelcity — voxelcity is an easy and one-stop tool to output 3d city models for microclimate simulation by integrating multiple geospatial open-data
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