Shine Stacker

ShineStacker is a focus stacking tool with an interactive GUI and a Python API, designed for advanced image processing workflows in macro photography and microscopy.

CI multiplatform PyPI version Python Versions Qt Versions pylint codecov Documentation Status License: LGPL v3 PyPI Downloads

Shine Stacker Logo

Key Features

  • 🪟 Cross-Platform GUI: Native app built with Qt6, available for Windows, macOS, and Linux.
  • 🚀 Batch Processing: Automatically align, balance, and stack hundreds of images — perfect for macro or microscopy datasets.
  • 🧩 Modular Architecture: Combine configurable modules for alignment, normalization, and blending to build custom workflows.
  • 🖌️ Retouch Editor: Interactively refine your stacked image by painting in details from individual frames.
  • 📊 Jupyter & Python Integration: Use Shine Stacker as a library inside your Python or Jupyter workflows.
  • 🎞️ Supported formats: TIFF 8-16 bits, PNG 8-16 bits, JPEG, most RAW formats via rawpy.

Interactive GUI

The graphical interface makes complex stacking tasks simple:

  • Project View – Configure, preview, and run stacking workflows with optional intermediate results.
  • Retouch View – Manually refine the final image by blending details from selected frames and applying filters.

Ideal for users who want the power of scripting and the comfort of a modern UI.

Get Started

Demo video

Shine Stacker demo video

Short demo of the new user interface introduced in Shine Stacker, release 1.13.0.

Resources

🌍 Website on WordPress • 📖 Main documentation • 📝 Changelog

Installation

See the main documentation for detailed installation instructions.

Platform notes:

  • Windows: If you download the installer or ZIP archive, you may need to whitelist the app in your antivirus software.
  • macOS: See the installation note for macOS users.

Acknowledgements & References

The first version of the core focus stack algorithm was inspired by the Laplacian pyramids method implementation by Sami Jawhar, used under permission. The implementation in the latest releases was rewritten from the original code.

Key references:

License

LGPL 3 logo

Attribution request

📸 If you publish images created with Shine Stacker, please consider adding a note such as:

Created with Shine Stacker – https://github.com/lucalista/shinestacker

This is not mandatory, but highly appreciated.

Developed and maintained by Luca Lista. 💡 Contributions, feedback, and feature suggestions are warmly welcome. If you enjoy Shine Stacker, consider giving it a ⭐️ on GitHub — it really helps visibility!

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.16.2)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for luca.lista from gravatar.com luca.lista

Credits

PyPI data
Data sourced directly from PyPI's database.

Author: Luca Lista

License expression

LGPL-3.0
View SPDX License List

Requires

Python >=3.12

Provides Extra

dev

Classifiers

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