Pyglotaran is a python library for global analysis of time-resolved spectroscopy data. It is designed to provide a state of the art modeling toolbox to researchers, in a user-friendly manner.

Its features are: - user-friendly modeling with a custom YAML (*.yml) based modeling language - parameter optimization using variable projection and non-negative least-squares algorithms - easy to extend modeling framework - battle-hardened model and algorithms for fluorescence dynamics - build upon and fully integrated in the standard Python science stack (NumPy, SciPy, Jupyter)

pyglotaran is ideal for researchers and scientists who require a powerful, yet user-friendly tool for analyzing complex systems, from time-resolved spectroscopy to broader applications in scientific modeling.