JuliaDataCubes / JuliaDataCubes/YAXArrays.jl
Digesting intake catalogs
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- Dominant language
- Julia
- Stars
- 132
- Forks
- 25
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Description
Hello!
I see a lot of tutorial that uses intake (Python package) for data loading. Especially for remote datasets such as CMIP6, ERA5, etc.. How hard it is to be able to load those datasets into YAXArrays.jl? I am not a specialist of intake, but if linked with YAXArrays.jl, it could potentially open up lots of Datasets around the world on cloud hosting. `
For example
https://hydrocloudservices.github.io/catalogs/notebooks/ipynb/atmosphere.html
http://gallery.pangeo.io/repos/pangeo-gallery/cmip6/intake_ESM_example.html
edit - intake-xarray : https://intake-xarray.readthedocs.io/en/latest/index.html
Best regards!
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Research direction
Start by reviewing YAXArrays.jl's existing data-loading approach and the linked intake and intake-xarray examples for CMIP6 and ERA5. Clarify which catalog formats and remote datasets should be supported, then define a concrete completion target for loading one representative catalog into YAXArrays.jl.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia, python
- Domain
- cloud, data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100