# napari-workflows
[](https://github.com/haesleinhuepf/napari-workflows/raw/main/LICENSE)
[](https://pypi.org/project/napari-workflows)
[](https://python.org)
[](https://github.com/haesleinhuepf/napari-workflows/actions)
[](https://codecov.io/gh/haesleinhuepf/napari-workflows)
[](https://en.wikipedia.org/wiki/Software_release_life_cycle#Alpha)
This repository contains data structures for managing image processing workflows in napari.
There are no user interface in this repository as it serves as backend.
Multiple front-ends for managing workflows are available in these napari plugins:
* [napari-assistant](https://github.com/haesleinhuepf/napari-assistant)
* [napari-lattice](https://www.napari-hub.org/plugins/napari-lattice)
* [napari-script-editor](https://www.napari-hub.org/plugins/napari-script-editor)
* [napari-workflow-optimizer](https://github.com/haesleinhuepf/napari-workflow-optimizer)
* [napari-workflow-inspector](https://github.com/haesleinhuepf/napari-workflow-inspector)
Using workflows, you can combine functions from these napari plugins in workflows:
* [devbio-napari](https://www.napari-hub.org/plugins/devbio-napari)
* [napari-accelerated-pixel-and-object-classification](https://www.napari-hub.org/plugins/napari-accelerated-pixel-and-object-classification)
* [napari-cupy-image-processing](https://www.napari-hub.org/plugins/napari-cupy-image-processing)
* [napari-segment-blobs-and-things-with-membranes](https://www.napari-hub.org/plugins/napari-segment-blobs-and-things-with-membranes)
* [napari-simpleitk-image-processing](https://www.napari-hub.org/plugins/napari-simpleitk-image-processing)
* [napari_pyclesperanto_assistant](https://github.com/clesperanto/napari_pyclesperanto_assistant)
If you want to learn how these workflows function under the hood, the
[demo notebook](https://github.com/haesleinhuepf/napari-workflows/blob/main/docs/demo.ipynb)
gives some insights.
----------------------------------
This repository was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.
## Installation
You can install `napari-workflows` via [pip]:
pip install napari-workflows
## 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-workflows" is free and open source software
## Acknowledgements
This project was supported by the Deutsche Forschungsgemeinschaft under Germany’s Excellence Strategy – EXC2068 - Cluster of Excellence "Physics of Life" of TU Dresden.
This project has been made possible in part by grant number [2021-240341 (Napari plugin accelerator grant)](https://chanzuckerberg.com/science/programs-resources/imaging/napari/improving-image-processing/) from the Chan Zuckerberg Initiative DAF, an advised fund of the Silicon Valley Community Foundation.
## Issues
If you encounter any problems, please [file an issue] along with a detailed description.
[napari]: https://github.com/napari/napari
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[@napari]: https://github.com/napari
[MIT]: http://opensource.org/licenses/MIT
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt
[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt
[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin
[file an issue]: https://github.com/haesleinhuepf/napari-workflows/issues
[napari]: https://github.com/napari/napari
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/
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