napari-musa
A Napari plugin to perform analysis on Hyperspectral Imaging datasets
This napari plugin was generated with copier using the napari-plugin-template (None).
Installation
You can install napari-musa via pip:
pip install napari-musa
If napari is not already installed, you can install napari-musa with napari and Qt via:
pip install "napari-musa[all]"
To install latest development version :
pip install git+https://github.com/hyperpolimi/napari-musa.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 BSD-3 license, "napari-musa" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
1 maintainer
Metadata
1 maintainer
Release files for napari-musa 1.0.0
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_musa-1.0.0.tar.gz | 54.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_musa-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 105.8 kB
Release files / napari_musa-1.0.0.tar.gz
| Download URL | napari_musa-1.0.0.tar.gz |
|---|---|
| Size | 54.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e7b4854a22e257bc66ff06bb3bd6278f9d2dfd02ec3481a5b082dfc552618870
|
|
BLAKE2b-256 checksum How to use checksums |
d8f1c297b4e02dfcfb8d037dd444fbbd9c410a11a3e9aaed39e64f588b561356
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Nov 10, 2025.
Transparency logRelease files / napari_musa-1.0.0-py3-none-any.whl
| Download URL | napari_musa-1.0.0-py3-none-any.whl |
|---|---|
| Size | 51.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b40e1c8147ff7de150a8cad9c1c069262ad249727956cd0f609e3c2d57927986
|
|
BLAKE2b-256 checksum How to use checksums |
aba4ed07d35fde6b52b9a60df5a57b482be054a3b0806630bb20164d41cf5070
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Nov 10, 2025.
Transparency log
