StellarSpecModel interpolates the stellar spectral grid; provided with stellar parameters (Teff, FeH, logg), the package will return the corresponding stellar spectrum. It also generates and analyzes theoretical stellar spectral energy distributions (SEDs). StellarSpecModel includes functionality for both single and binary star systems, incorporating extinction models and the ability to handle photometric data in various filter bands.

BRAINS (BLR Reverberation-mapping Analysis In AGNs with Nested Sampling) dynamically models the broad-line regions of active galactic nuclei using reverberation-mapping and spectro-astrometric observations. It couples flexible geometric and kinematic BLR models with radiative transfer and line-response prescriptions to reproduce observed emission-line light curves, spectra, and spatial signatures. The code employs nested sampling to infer BLR structure and black hole mass, providing posterior distributions for physical and nuisance parameters and enabling rigorous model comparison. Implemented in C and Python, BRAINS supports configurable data sets, model components, and priors, and includes utilities for data preparation, parameter estimation, and visualization of inferred BLR and black hole properties.

Spectool processes astronomical spectral data, offering a collection of common spectral analysis algorithms. The toolkit includes functions for spectral resampling, spectral flattening, radial velocity measurements, spectral convolution broadening, among others. Each function in the package is implemented independently, allowing users to select and utilize the desired features as needed. Spectool's functions have simple and intuitive interfaces, ensuring ease of use for various data sets and analysis tasks.