User Tools

Site Tools


index

This is an old revision of the document!


FitPy

FitPy – A Python framework for advanced fitting of models to spectroscopic data.

FitPy is a Python framework for the advanced fitting of models to spectroscopic data focussing on reproducibility. Supported are semi-stochastic sampling of starting conditions, global fitting of several datasets at once, and fitting several concurrent models to one dataset. FitPy builds upon and extends the ASpecD framework. At the same time, it relies on the SciPy software stack and on lmfit for its fitting capabilities.

Making use of the concept of recipe-driven data analysis, actual fitting no longer requires programming skills, but is as simple as writing a text file defining both, the model and the fitting parameters in an organised way. Curious? Have a look at its documentation.


FitPy is free and open source licensed under a BSD 2-clause license. However, if you use FitPy for your own research, please cite it appropriately:

Till Biskup. FitPy (2022). doi:10.5281/zenodo.5920380

As FitPy is based on the SciPy and lmfit packages, you are highly encouraged to cite these two packages as well: SciPy: doi:10.1038/s41592-019-0686-2, lmfit: doi:10.5281/zenodo.598352.

To make things easier, FitPy has a DOI provided by Zenodo, and you may click on the badge below to directly access the record associated with it. Note that this DOI refers to the package as such and always forwards to the most current version.

index.1643559203.txt.gz · Last modified: 2022/01/30 17:13 by till