No project description provided
Project description
ngff-zarr
A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.
Table of Contents
Installation
pip install 'ngff-zarr[dask-image]'
Features
- Minimal dependencies
- Work with arbitrary Zarr store types
- Lazy, parallel, and web ready -- no local filesystem required
- Process extremely large datasets
- Multiple downscaling methods
- Supports Python>=3.7
See also
License
ngff-zarr
is distributed under the terms of the MIT license.
Development
Contributions are welcome and appreciated.
To run the unit tests:
pip install -e ".[test,dask-image]"
pytest
Updating test data
- Generate new test data tarball
cd test
tar cvf ../data.tar baseline input
gzip -9 ../data.tar
-
Upload the data to web3.storage
-
Upload the
test_data_ipfs_cid
(from web3.storage web UI) andtest_data_sha256
(sh256sum ../data.tar.gz
) variables in test/_data.py.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ngff_zarr-0.1.6.tar.gz
(12.5 kB
view hashes)
Built Distribution
ngff_zarr-0.1.6-py3-none-any.whl
(13.4 kB
view hashes)
Close
Hashes for ngff_zarr-0.1.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6dbc376e093069fdad834d2f82ff897d334462604e85f976ec9eb81ba6f924f0 |
|
MD5 | c01d29fb4556eea9947ec0dcae9faf9b |
|
BLAKE2b-256 | bb3e3667ac685ae83887b874896bcb55584797ba6b52a292df3e4b37736a9610 |