A Python library of tools for obtaining, processing and interacting with DKIST data.
Documentation
See the documentation at https://docs.dkist.nso.edu/projects/python-tools.
Installation
The recommended way to install dkist is with miniforge. To install dkist once miniforge is installed run the following command:
$ conda install dkistFor detailed installation instructions, see the installation guide in the dkist docs.
License
This project is Copyright (c) NSO / AURA and licensed under the terms of the BSD 3-Clause license.
Code of Conduct
When you are interacting with the dkist project you are asked to follow the SunPy Code of Conduct.
Releasing The dkist package
Doing a release of this package is automated using GitHub actions, the release can be done following these steps:
Run the pre-release workflow on GitHub actions, this can be done by clicking “run workflow” here.
That workflow will have opened a PR, you should review it and merge it as normal.
That workflow will also have drafted a GitHub release here, once the PR is merged you can publish that release, this will trigger the rest as long as the CI passes.
Wheel compatibility matrix
Files in release
aiohttp
(>=3.9)
asdf
(>=4.0.0)
asdf-astropy
(>=0.11.0)
asdf-coordinates-schemas
(>=0.4.0)
asdf-standard
(>=1.1.0)
asdf-transform-schemas
(>=0.6.0)
asdf-wcs-schemas
(>=0.4.0)
astropy
(>=6.1)
dask[array]
(>=2024.4.1)
globus-sdk
(>=4.0)
gwcs
(>=0.24.0)
matplotlib
(>=3.9)
ndcube[reproject,plotting]
(>=2.4.0)
numpy
(>=1.26.4)
parfive[ftp]
(>=2.2.0)
platformdirs
(>=4.5)
packaging
(>=25.0)
sunpy[asdf,net]
(>=6)
tqdm
(>=4.65)