This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 0.2.2 instead.
Reason given by maintainers: Bad pinning to Segment-Flow 0.1
AIoD Napari Plugin
Napari plugin part of AI OnDemand (AIoD) to provide an accessible interface for running deep learning models on images via our Nextflow pipeline.
Installation
See our latest installation information in our documentation!
In general, you should see the official Napari installation instructions first to ensure Napari is installed with an appropriate Qt backend.
uv
A uv.lock file is provided for smoother installation:
uv add aiod_napari
Conda
We have also provided a conda environment file to install all the dependencies for this plugin. To install the environment, run the following command:
conda env create -f ai-od.yml
Getting Started
For a step-by-step walkthrough, please see our First Segmentation guide.
Usage
For general usage of the plugin, see the documentation.
Contributing
Contributions are very welcome! Please see our AIoD Developer Guide for general advice and information.
Development setup
Install with test dependencies using either:
uv sync # uv dependency group (dev)
pip install -e ".[testing]" # pip/tox extra (testing)
Both install the same test dependencies (pytest, tox, napari[qt], ...), but allow for either uv or plain pip/tox workflows. (Note that, at present, the CI uses the testing extra via tox.)
Issues
If you encounter any problems, please raise an issue along with a detailed description!
Metadata
Release files for aiod-napari 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aiod_napari-0.2.0.tar.gz | 295.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aiod_napari-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 449.5 kB
Release files / aiod_napari-0.2.0.tar.gz
| Download URL | aiod_napari-0.2.0.tar.gz |
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| Tags | Source |
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Yes |
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Transparency logRelease files / aiod_napari-0.2.0-py3-none-any.whl
| Download URL | aiod_napari-0.2.0-py3-none-any.whl |
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| Size | 153.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 14, 2026.
Transparency log