Geff IO
A reader and writer for the graph exchange file format (geff)
A reader and writer for the graph exchange file format (geff)
This napari plugin was generated with copier using the napari-plugin-template.
Installation
You can install napari-geff
via pip:
pip install napari-geff
If napari is not already installed, you can install napari-geff
with napari and Qt via:
pip install "napari-geff[all]"
Usage
napari-geff
supports loading directed graphs stored as GEFF files into
napari
as Tracks
layers, and saving them back out to GEFF format.
To use napari-geff
after installation, simply drag a GEFF file into the viewer and select GEFF IO
from the
plugin selection dialog, if required. The file will be loaded as a Tracks
layer.
Any node properties defined on your graph will be stored as features on your tracks layer. Edge properties
will be available under layer.metadata['edge_properties']
as a dictionary, but cannot currently be displayed
or used for visualization in napari
.
If your file contains image
or labels
related objects as per the GEFF
spec,
these will also be loaded alongside your Tracks
layer.
If you wish to open your geff file into layers programmatically, you can do so using the viewer.open
method:
import napari
path = 'path/to/top_level_zarr.zarr/my-geff-group/
viewer = napari.Viewer()
layers = viewer.open(path, plugin='napari-geff')
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 BSD-3 license, "napari-geff" is free and open source software
Issues
If you encounter any problems, please [file an issue] along with a detailed description.
Version:
- 0.0.1
Last updated:
- 2025-07-23
First released:
- 2025-07-23
License:
- Copyright (c) 2025, Live Image...
Supported data:
- Information not submitted
Plugin type:
Open extension:
Save extension:
Operating system:
- Information not submitted
Requirements:
- numpy
- magicgui
- qtpy
- scikit-image
- geff==0.4.0
- pandas
- napari[all]; extra == "all"
- tox; extra == "testing"
- pytest; extra == "testing"
- pytest-cov; extra == "testing"
- pytest-qt; extra == "testing"
- napari[qt]; extra == "testing"