napari-maskel
Simon Wittmann, Dominik Pysch, Anna Möller
napari plugin for maskel: skeletonization and graph-based feature extraction for branching biological structures — vasculature, fibers, neurites, and other network-like objects — with interactive visualization of branches and node features.
Quick start
- Install napari itself first if you haven't, with a Qt backend (e.g.
pip install "napari[all]"), then the plugin:pip install napari-maskel(this also installsmaskel). - In napari, open a segmentation mask (2D or 3D) and convert it to a labels layer.
- Run Analyze mask (Maskel) from the Plugins menu, pick that layer as the input, and configure the extraction/cleanup parameters.
- Click Analyze mask to add the resulting branches/nodes/summary/radius layers to the viewer, and inspect them with napari's built-in feature table widget.
See the full documentation for every configurable parameter, the 2D multi-label workflow, and sharing recipes with the maskel CLI for batch processing.
License
napari-maskel is released under the MIT License. See LICENSE for details.
1 maintainer
Metadata
1 maintainer
Release files for napari-maskel 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| napari_maskel-1.3.0.tar.gz | 98.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_maskel-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 183.3 kB
Release files / napari_maskel-1.3.0.tar.gz
| Download URL | napari_maskel-1.3.0.tar.gz |
|---|---|
| Size | 98.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2fef6c5cbf809e960d94ca01e33b769fcbe3cdbbe515361eaf483edc5d6caaf2
|
|
BLAKE2b-256 checksum How to use checksums |
1493ca2b24c9c9c21c15e8349c58bf1fe44f4025973b927fb39762cb7cc72a74
|
| 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 7, 2026.
Transparency logRelease files / napari_maskel-1.3.0-py3-none-any.whl
| Download URL | napari_maskel-1.3.0-py3-none-any.whl |
|---|---|
| Size | 85.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6349d3bda45074537f2f5cd950ed9c407ee7157ca00913d9db4856dfa87ce5e1
|
|
BLAKE2b-256 checksum How to use checksums |
eb896202d3dd9b603fded47d1af166aca83f4ffd70506ed58d8282e03db2593a
|
| 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 7, 2026.
Transparency log
