Utility package for working with spectral data cubes.
Project description
🌈 spectralcubekit
⚙️ A modern toolkit for working with any and all flavors of spectral data cubes.
🧠 What is spectralcubekit?
spectralcubekit is a lightweight, modular Python package designed to make analysis of spectral data cubes simple, flexible, and fun. Whether you're exploring planetary hyperspectral data, performing band analysis, or building your own spectral pipelines — this toolkit’s got you covered.
🧰 Currently Available Modules
| Module | Description |
|---|---|
🧪 band_parameters |
Provides parameters that describe spectral band shapes and sizes. |
📈 linear_fitting |
Fits lines to entire spectral cubes along the spectral domain (z-axis). |
🧩 misc_utils |
Miscellaneous utility functions for spectral cube operations. |
And more modules coming soon! As a work through my Ph.D., I will add all the utility functions I write for hyperspectral data processing here!
🚀 Quick Start
pip install spectralcubekit
import spectralcubekit as sck
fit_result = sck.fit_linear_cube(cube)
sck.save_fit(fit_result, "path/to/save.fits")
🔗 Links
- GitHub: https://github.com/z-vig/spectralcubekit.git
- Docs: (coming soon!)
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