Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.

Symbolic Fitting; fitting as it should be.

Generic curve fitting package with nonlinear mixed effects model

Implementation of the Nelson-Siegel-Svensson interest rate curve model.

Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.

Code examples for using the originpro Python package to interact with Origin software.

Automatic parametric modeling with symbolic regression

GPU/TPU accelerated nonlinear least-squares curve fitting using JAX

Solution to Kaggle's PLAsTiCC Astronomical Classification Competition

MiraPy: A Python package for Deep Learning in Astronomy

Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs

Master's disseration source code to find peaks of Raman Spectroscopy of CZTS and fit Lorentzians to decompose the structure.

Application for data analysis and curve fitting

Pearson Type III Curve Fitting and Plotting

Tools for uncertainty propagation and measurement unit conversion — Outils pour la propagation des incertitudes et la conversion d'unités de mesure

📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.

Tool for estimating growth rates from microbial growth curves

Analysis platform for large-scale dose-dependent data

An open-source and easy-to-use software for the comprehensive analysis of grain-size distributions