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napari-memmap-tiff

License MIT PyPI Python Version tests codecov napari hub npe2 Copier

When installed and enabled in the options, it adds an option that when enabled will make napari load tiffs via memory mapping instead of fully into RAM.

That is, .tif and .tiff files will be loaded into memory using memory mapping, which loads the data directly from disk instead of loading the file at once into RAM. This is beneficial for large files that may not fit into available RAM.


This napari plugin was generated with copier using the napari-plugin-template.

Installation

You can install napari-memmap-tiff via pip:

pip install napari-memmap-tiff

To install latest development version :

pip install git+https://github.com/matham/napari-memmap-tiff.git

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 MIT license, "napari-memmap-tiff" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

Release files for napari-memmap-tiff 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for napari-memmap-tiff 1.1.0
File Size Uploaded
napari_memmap_tiff-1.1.0.tar.gz 10.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for napari-memmap-tiff 1.1.0
File Interpreter ABI Platform
napari_memmap_tiff-1.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 18.1 kB

Release files / napari_memmap_tiff-1.1.0.tar.gz

Download URL napari_memmap_tiff-1.1.0.tar.gz
Size 10.8 kB
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Release files / napari_memmap_tiff-1.1.0-py3-none-any.whl

Download URL napari_memmap_tiff-1.1.0-py3-none-any.whl
Size 7.2 kB
Tags Python 3
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Uploaded via twine/6.1.0 CPython/3.13.3

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1.1.0 This release

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1.0.0

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