hftsoi/symbolfit
Automatic parametric modeling with symbolic regression
SymbolFit helps scientists and analysts automatically find the best mathematical equations to describe their experimental data. You provide your data points, including any measurement uncertainties, and it generates a ranked list of candidate formulas, their optimized parameters, and uncertainty estimates. This tool is for researchers in fields like high-energy physics or any domain needing interpretable, parametric models from 1D, 2D, or higher-dimensional datasets.
Available on PyPI.
Use this if you need to derive an interpretable, closed-form equation that accurately fits your experimental or observed data without manually guessing functional forms.
Not ideal if you simply need to predict outcomes without needing to understand the underlying mathematical relationship or if your data requires extremely complex, non-interpretable models.
Stars
64
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 03, 2026
Commits (30d)
0
Dependencies
5
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