Observed since 20 Oct, 21:09 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
Chunked scientific arrays with JSON records and integrity manifests
Store named scientific arrays with optional JSON records and explicit SHA-256 integrity checks. The local storage uses standard Zarr v3; arrays remain readable without afolio. Python 3.13 or newer is required.
Released under the MIT License.
uv sync --all-extras --managed-python
uv run python examples/local_dataset.py
For another uv project in a sibling directory, add this checkout with
uv add ../afolio --extra tiff --extra ome (adjust the checkout path as needed).
The package has not been published to PyPI.
Read the getting started guide, API reference, disk format, and OME-Zarr and TIFF guide. Read-only SFTP access is described in the remote guide. Development decisions and progress live in memo/. See development setup for Git hooks and verification commands.
The current implementation supports local datasets, stage records, integrity checks, TIFF/OME-TIFF exports, optional OME-Zarr 0.5 image reading/writing, and read-only SFTP access with connection reuse, bounded memory/disk caching and ROI prefetch. Trusted signatures, remote writes and pyramid generation are planned extensions.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.1.0 | 9 Oct 2026 | 6 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 21:09 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:05775c5b30aa21d6914567abf6ef346ddb82edd9b8d08cd117bb3a768fef98d0