HSpeQ · IDCube Community

Share Knowledge. Advance Hyperspectral Science.

Discover, download, and share Python algorithms, scripts, and reproducible workflows for hyperspectral imaging and analysis. Tools may work with IDCubePro 2026 or standalone Python.

✓ Free to explore✓ No registration required✓ Research-focused

Explore the library

Find Tools for Your Research

From spectral preprocessing to AI-powered analysis, discover community contributions for a wide range of hyperspectral workflows.

Example contribution

What You'll Find in the Library

Each published tool can include source code, usage instructions, dependencies, sample results, and an appropriate license.

Illustrative listing

2D Spatial Deconvolution

An example of a Python workflow that processes a selected image or applies deconvolution across the spectral bands of a hyperspectral cube.

PythonImage ProcessingCompatibility not yet verified
Visit the Library →

Simple and open

How IDCube Community Works

No accounts or subscriptions are needed to browse or download shared resources.

01 · DISCOVER

Find an Algorithm

Explore scientific applications, descriptions, and compatibility information.

02 · DOWNLOAD

Get the Code

Follow the published download link and review the instructions and license.

03 · CONTRIBUTE

Share Your Work

Submit your own code for review. Approved contributions are published in the library.

Contribute to the community

Have an Algorithm to Share?

Help researchers and developers expand the possibilities of hyperspectral imaging. Share Python scripts, algorithms, utilities, or reproducible workflows — no registration required.

IDCube Community is a platform for community-contributed research software. Individual submissions are reviewed before publication.