AIoD Model Registry
This repository contains the central manifests/schemas that define the models available within AIoD.
In addition, are:
- Tests for validating schemas
- Utility functions for ingesting the schemas and filtering by whether a user has access to each model, enabling us to automatically write the UI for our Napari plugin
Installation
Install the PyPI version with:
pip install aiod_registry
Note that you should do this from within a conda, uv etc. environment.
Development
For development/contributing, you should clone and install the dev version:
git clone https://github.com/FrancisCrickInstitute/aiod_registry.git
cd aiod_registry
pip install -e ".[dev]"
Contact Details
Contribution Guidelines
See our documentation for guidance on adding models to this repo.
Local Validation
To locally test whether a new manifest is eligible, simply run pytest -v tests/, where any errors will be detailed by Pydantic. Note that this will need the development version. Otherwise, the tests will be run automatically on pull requests.
1 maintainer
Metadata
1 maintainer
Release files for aiod-registry 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_registry-0.2.0.tar.gz | 41.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aiod_registry-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 71.7 kB
Release files / aiod_registry-0.2.0.tar.gz
| Download URL | aiod_registry-0.2.0.tar.gz |
|---|---|
| Size | 41.3 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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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / aiod_registry-0.2.0-py3-none-any.whl
| Download URL | aiod_registry-0.2.0-py3-none-any.whl |
|---|---|
| Size | 30.4 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? |
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 4, 2026.
Transparency log
