🪐 Imaging Server Kit
Turn Python-based image processing workflows into algorithms that gain extra functionalities.
- Turn your algorithms into web servers and run computations from Napari, QuPath, or Python via HTTP requests.
https://github.com/user-attachments/assets/0be819ea-fcc1-48ee-8fae-7265e63a00d4
- Generate dock widgets to run your algorithms interactively in Napari or QuPath.
https://github.com/user-attachments/assets/1ff572f7-f159-4f5a-afd4-7a157de3d9f8
- Run your algorithms tile-by-tile on the input data.
https://github.com/user-attachments/assets/47c2f734-5683-49d9-8aea-388c3a2bc16d
- Stream results to inspect them in real-time.
https://github.com/user-attachments/assets/a3f69a9f-fb68-4580-a804-6c57d5807b9a
Development status
The Imaging Server Kit is being actively developed and is iterating rapidly. It is likely that there will be compatibility-breaking changes in future versions.
Installation
Install the imaging-server-kit package with pip:
pip install imaging-server-kit
or clone the project and install the development version:
git clone https://github.com/Imaging-Server-Kit/imaging-server-kit.git
cd imaging-server-kit
pip install -e .
To use the Napari-related functionalities, you additionally have to install napari and napari-toolkit which are not included by default. Install the package with:
pip install "imaging-server-kit[napari]"
To use the QuPath-related functionalities, you additionally have to install qubalab>=0.2.0, which is not included by default. Install the package with:
pip install "imaging-server-kit[qupath]"
Getting started
The documentation is available on this page.
Contributing
Contributions are very welcome.
License
This software is distributed under the terms of the BSD-3 license.
Issues
If you encounter any problems, please file an issue along with a detailed description.
Citing
If you use the Imaging Server Kit in the context of scientific publication, you can cite it as below.
BibTeX:
@software{mallory_wittwer_2025_15673152,
author = {Mallory Wittwer and Edward Andò and Maud Barthélemy and Florian Aymanns},
title = {Imaging-Server-Kit/imaging-server-kit: v0.0.14},
url = {https://doi.org/10.5281/zenodo.15673152},
doi = {10.5281/zenodo.15673152},
version = {v0.0.14},
year = 2025,
}
Acknowledgements
We thank the Personalized Health and Related Technologies for funding this project.
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 imaging_server_kit-0.2.0.tar.gz.
File metadata
- Download URL: imaging_server_kit-0.2.0.tar.gz
- Upload date:
- Size: 15.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d8a4b4c879c45efaebe3f0134be2b81e4daac72a1651dad2a4893619b1e6554a
|
|
| MD5 |
134941fb3cf4c9eb71bbb6cfcb651725
|
|
| BLAKE2b-256 |
1077fa36212b6fed52a01982d9e237cdb8e4922908c8b711c74b34c3e2421417
|
File details
Details for the file imaging_server_kit-0.2.0-py3-none-any.whl.
File metadata
- Download URL: imaging_server_kit-0.2.0-py3-none-any.whl
- Upload date:
- Size: 741.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1cea7be9c14f0bdddfb8635595eaa6ba77640a8b861d2886cc5821c3653e7330
|
|
| MD5 |
3c8174870d6a377adce9e0056ce79b1c
|
|
| BLAKE2b-256 |
851080258135987c00c85892a9e2d8f6b0e81bb081a153f1bc7b81193342694b
|