napari-nasa-samples
This napari plugin written by Loic A. Royer provides sample datasets from NASA. In particular, you can access directly from napari the recently released images for the James Webb Space Telescope, as well as some of the classic and most beautiful images obtained by the venerable and still strong Hubble Space Telescope. More images will be added over time.
Thanks to (NASA)[https://www.nasa.gov/] for releasing these incredible images!
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-nasa-samples via pip:
pip install napari-nasa-samples
To install latest development version :
pip install git+https://github.com/royerloic/napari-nasa-samples.git
Contributing
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the Mozilla Public License 2.0 license, "napari-nasa-samples" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
1 maintainer
Metadata
1 maintainer
Release files for napari-nasa-samples 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| napari-nasa-samples-0.0.5.tar.gz | 12.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_nasa_samples-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.6 kB
Release files / napari-nasa-samples-0.0.5.tar.gz
| Download URL | napari-nasa-samples-0.0.5.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
|
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No |
| Uploaded via |
twine/4.0.1 CPython/3.10.5
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Release files / napari_nasa_samples-0.0.5-py3-none-any.whl
| Download URL | napari_nasa_samples-0.0.5-py3-none-any.whl |
|---|---|
| Size | 14.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.5
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