BlenderNC is an open source add-on and Python module to visualize netCDF, grib, and zarr datasets in Blender.
BlenderNC builds upon xarray and dask to lazy load, manipulate, and display datasets as images in Blender.
Science visualization is a fundamental part of science communication and the exploration of large datasets. However, production quality real-time visualization and animation of scientific data has remained unreachable to the scientific community. BlenderNC main goal is to facilitate the generation of quality animations of scientific gridded data with a powerful and simple interface. For example:
- Quick load of datasets:
- Nodes tree for more complex visualizations:
- Math computations in BlenderNC node tree.
Learn more about BlenderNC in the official documentation at https://blendernc.readthedocs.io
All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome. More information about contributing to BlenderNC can be found at our Contribution page.
Use Github to:
- report bugs,
- suggest features,
- provide examples,
- and view the source code.
BlenderNC is supported by:
To implement and improve support of weather and climate data visualizations in GRIB format and visualize numerical models of the global ocean and sea-ice.