A simple plugin to load results from Spam in Napari
Project description
napari-spam
A simple plugin to load results from Spam in Napari
Installation
The plugin obviously requires napari to run. If you don't have it yet, follow the instructions here.
The simplest way to install napari-spam is via the napari plugin manager. Open Napari, go to Plugins > Install/Uninstall Packages... and search for napari-spam. Click on the install button and you are ready to go!
You can install napari-spam via pip:
pip install napari-spam
If napari is not already installed, you can install napari-spam with napari and Qt via:
pip install "napari-spam[all]"
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 GNU GPL v3.0 license, "napari-spam" is free and open source software.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file napari_spam-0.0.7.tar.gz.
File metadata
- Download URL: napari_spam-0.0.7.tar.gz
- Upload date:
- Size: 75.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bc64a8ead6b553a8651a8784c3fe5f2c4b48f0bc94b1d3a93331300ac7ee2b19
|
|
| MD5 |
e22e6328d1e25179eee0ba424abfd209
|
|
| BLAKE2b-256 |
39504b157cb1a64eb09938c7d1a6df42090b5d7582f62b136aeedfb7fa1cfe8b
|
File details
Details for the file napari_spam-0.0.7-py3-none-any.whl.
File metadata
- Download URL: napari_spam-0.0.7-py3-none-any.whl
- Upload date:
- Size: 70.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
af9db37f161bc7b6f10017bea1e4182a21ff3be87cbea9b7608b29fba5fed917
|
|
| MD5 |
c94b83bdfc9f5c85a45a93a82fa04a23
|
|
| BLAKE2b-256 |
b54e5c7b951266d16f280245798d4ad9dc8d0d233f6f8ec4e6b373681d6575e0
|
