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node-jupyter-widgets-base-manager
base manager of Jupyter interactive widgets
node-jupyter-widgets-base-manager provides the base manager of Jupyters
interactive widgets.
libjxl-devtools
JPEG XL Image Coding System - "JXL" (dev command line utility)
The JPEG XL Image Coding System (ISO/IEC 18181) is a lossy and
lossless image compression format. It has a rich feature set and is
particularly optimized for responsive web environments, so that
content renders well on a wide range of devices. Moreover, it includes
several features that help transition from the legacy JPEG format.
libjxl-tools
JPEG XL Image Coding System - "JXL" (command line utility)
The JPEG XL Image Coding System (ISO/IEC 18181) is a lossy and
lossless image compression format. It has a rich feature set and is
particularly optimized for responsive web environments, so that
content renders well on a wide range of devices. Moreover, it includes
several features that help transition from the legacy JPEG format.
python3-rioxarray
rasterio xarray extension
rioxarray is an extension to the xarray package that
- supports multidimensional datasets such as netCDF
- stores the CRS as a WKT, which is the recommended format
- loads in the CRS, transform, and nodata metadata in standard CF & GDAL
locations
- supports masking and scaling data with the masked and mask_and_scale kwargs
- adds the coordinate axis CF metadata
- loads in raster metadata into the attributes
libjpegxl-java
JPEG XL Image Coding System - "JXL" (java bindings)
The JPEG XL Image Coding System (ISO/IEC 18181) is a lossy and
lossless image compression format. It has a rich feature set and is
particularly optimized for responsive web environments, so that
content renders well on a wide range of devices. Moreover, it includes
several features that help transition from the legacy JPEG format.
node-bqplot
Interactive plotting library for the Jupyter notebook
bqplot is a 2-D visualization system for Jupyter, based on the constructs of
the "Grammar of Graphics". It Provide a unified framework for 2-D
visualizations with a pythonic API and a sensible API for adding user
interactions (panning, zooming, selection, etc)