HyperCube is a python-based spectral fitting tool designed to make integral field spectroscopic (IFS), or hyperspectral data analysis more interactive and intuitive, while preserving automation and repeatability. The tool combines a user-friendly PyQT5 GUI with the robust and flexible fitting capabilities of lmfit, and is particularly well-suited for interactive and batch process spectral modeling of 3D spectral data.

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RedPack is a Python3-based pipeline designed to transform sparse stellar photometry into continuous interstellar reddening maps. The tool processes Gaia proper motion-selected stars to construct interstellar reddening maps by first fitting empirical ridge lines to stellar photometric data, then calculates differential extinction for individual stars by shifting them along reddening vectors to match these references. Using Gaussian Process Regression with a rational quadratic kernel, the tool interpolates sparse extinction measurements into continuous maps while preserving multi-scale dust structures and propagating photometric uncertainties through covariance ellipses. RedPack achieves 5" resolution maps validated against WISE 12μm dust emission, demonstrating robust performance in handling nonuniform spatial sampling and variable measurement errors characteristic of crowded stellar fields.