distfit is a python library for probability density fitting.
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Updated
Jan 22, 2026 - Jupyter Notebook
distfit is a python library for probability density fitting.
A Julia package for fitting the equation of state of solids, and more
Versatile spectrum analyser for experimental data
Several numerical methods are provided here written in Python.
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
This package is used to select the best-fitting model.
This repository contains Python code for analyzing and fitting photoluminescence spectra of semiconductor nanostructures.
Applied ideas on using Bezier curves & hybrid tetrational-polynomials to fit or approximate curves in data of virtually any magnitude.
Fits JxV curves obtained from solar cells operating in the dark and calculates important parameters
Mathematical curve-fitting library for Arduino
Tronos: TRacking of Nuclear OScillations
Fits JxV curves obtained from solar cells under illumination and calculates important parameters
Files for modelling COVID-19 virus
Script to determine your W' and CP based on data from intervals.icu
Python script to fit an empirical distribution to an theorical statistical distribution
Fitting a sine function using a Neural Network
Fitting of flow duration curves in MATLAB and Python using a suite of parametric formulations
Automated Function Fitting And Data Mapping Project
Estimating the main parameters of a Worm-Like Chain Molecule from Force-Extension Measurements.
Port of Gpufit from C++ and CUDA to Python and WebGPU, mostly vibe coded as part of 2026 BIOMICS Hackathon
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