This Zenodo repository hosts the software package StellarSpecModel, a Python toolkit designed for generating and analyzing theoretical stellar spectral energy distributions (SEDs) based on precomputed spectral grids. It supports both single-star and binary-star modeling, with features that incorporate extinction correction and multi-band photometric data fitting. Contents • stellarSpecModel/: Python modules and classes, including: • SED_model.py: Single-star SED modeling • binary_SED_model.py: Binary system SED modeling • MARCS_Model.py and BTCond_Model.py: Interfaces to MARCS and BT-Cond spectral grids • example.png: Example plot showing model output • README.md: Documentation of usage and functionalities File Types and Formats • Python source code files (.py) • Plot image (.png) • Markdown documentation (.md) Usage Summary StellarSpecModel takes fundamental stellar parameters such as effective temperature (Teff), surface gravity (logg), and metallicity (FeH) to interpolate from stellar atmosphere models (MARCS or BT-Cond). It then computes synthetic SEDs for visualization or model fitting to observed photometry. In the binary-star version, it computes the combined SED and performs chi-square or likelihood analysis based on observed magnitudes. Dependencies The code requires the following Python packages: numpy, matplotlib, astropy, pyphot, extinction, and optionally selenium (for automatic downloads of grid data). The module also uses the spectool package available at https://github.com/zhang-zhixiang/spectool.