visualens

A visual, fast interface to explore and manipulate astronomical images, catalogs, and lens models created using Lenstool.

visualens uses PyQt for fast handling of large astronomical images. Main lensing functionalities include:

An interactive interface to create Lenstool input files and visualize and manipulate lens models,
Fast, easy-to-run lensing calculations using Lenstool's engine,
Visual forward modeling based on lenstronomy.

Installation:

Many visualens functions rely on Lenstool, which is easy to install through conda (highly recommended). We also recommend installing lenstronomy through conda rather than pip, before installing visualens.

Some IDEs like Spyder may cause conflicts with PyQt. We suggest installing your favorite IDE in your conda virtual environment before installing visualens.

Installation steps:

conda create -n visualens_env -c conda-forge lenstool lenstronomy python==3.12.2
conda activate visualens_env
pip install visualens

Starting guide:

If using Jupyter notebooks, run these lines in your first cell:

%gui qt5
from PyQt5.QtWidgets import QApplication
import sys
app = QApplication.instance()
if app is None:
    app = QApplication(sys.argv)

Then

from visualens import Visualens
vl = Visualens()

A window should open, with a side panel accessible by clicking the top left button. Click "Open..." under the Image, Catalog, or Lens model tab to get started.

More examples here: https://github.com/tomresseguier/visualens/tree/main/examples

Metadata

Release files for visualens 1.0.3

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Source distribution (sdist)

Source distribution for visualens 1.0.3
File	Size	Uploaded	Provenance
visualens-1.0.3.tar.gz	154.5 kB	Oct 21, 2026	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for visualens 1.0.3
File	Interpreter	ABI	Platform	Reset
visualens-1.0.3-py3-none-any.whl 172.7 kB Oct 21, 2026 Without provenance	Python 3	none	any	Details

Total release size: 327.2 kB

Release files / visualens-1.0.3.tar.gz

Download URL	visualens-1.0.3.tar.gz
Size	154.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`34f1c60f1d55166b6efdf4de054cddd928e0167f66b8f63eb5243e82954ee0ac`
BLAKE2b-256 checksum How to use checksums	`3cca038218ad6e2ad779e668edc03dfe880ad29073ecd1c78a3d9d32943d0bbb`
Upload date	Oct 21, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.9`

Release files / visualens-1.0.3-py3-none-any.whl

Download URL	visualens-1.0.3-py3-none-any.whl
Size	172.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`1b4d67171b6c48140fe322d4a3fc4ef23f6c27b7e9498bc9ece11c302a7ab3c5`
BLAKE2b-256 checksum How to use checksums	`a0978320b008384ec486f866cac7417205209e15f21e018bb56474a94d73a558`
Upload date	Oct 21, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.9`

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