eQuimageLab is a Python package to postprocess astronomical images with JupyterLab notebooks
Author: Yann-Michel Niquet (https://astro.ymniquet.fr)
Why use JupyterLab notebooks to process your images ?
- You can easily modify/add/delete/move any operation in your workflow without the need to manually undo/redo the others.
- You can tweak your notebook any time (shall you have new ideas to deal with an image) and reprocess in a few minutes.
- You benefit from the full Python ecosystem to help you make the most out of your images (Numpy, Scikit-image, etc...).
- ...
Enjoy the power of Python to process your images !
Installation
eQuimageLab is developed in Python 3. To install the latest version of eQuimageLab, open a linux terminal/windows command prompt and run:
pip install --user eQuimageLab
pip will automatically download eQuimageLab and the missing Python modules if necessary (eQuimage, Dash, Plotly, etc...). You can then launch eQuimageLab by typing:
eQuimagelab
in this same terminal. You can also create a link to eQuimageLab from your desktop; an icon is distributed for this purpose with the Python package.
Usage
The complete documentation is available at: https://astro.ymniquet.fr/codes/equimagelab/docs/
Known bugs
Metadata
Release files for eQuimageLab 3.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| equimagelab-3.0.0.tar.gz | 1.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| equimagelab-3.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.5 MB
Release files / equimagelab-3.0.0.tar.gz
| Download URL | equimagelab-3.0.0.tar.gz |
|---|---|
| Size | 1.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / equimagelab-3.0.0-py3-none-any.whl
| Download URL | equimagelab-3.0.0-py3-none-any.whl |
|---|---|
| Size | 1.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| 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 Mar 10, 2026.
Transparency log