napari-parallel
This plugin is used for parallel computing of image processing using the code
generation capabilities of the napari-assistant plugin and the distributed
computing library dask.
Plugin to process images in parallel using several computers
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-parallel via pip:
pip install napari-parallel
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 BSD-3 license, "napari-parallel" 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-parallel 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| napari-parallel-0.0.2.tar.gz | 11.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_parallel-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.3 kB
Release files / napari-parallel-0.0.2.tar.gz
| Download URL | napari-parallel-0.0.2.tar.gz |
|---|---|
| Size | 11.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.0rc1
|
Release files / napari_parallel-0.0.2-py3-none-any.whl
| Download URL | napari_parallel-0.0.2-py3-none-any.whl |
|---|---|
| Size | 12.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.0rc1
|
Security for napari-parallel 0.0.2
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None of the files in this release were uploaded with provenance metadata.
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