uravu — Peer-reviewed • Rank 10.4 • Science 100%

uravu: Making Bayesian modelling easy(er) - Published in JOSS (2020)

Fitspy — Peer-reviewed • Rank 9.6 • Science 98%

Fitspy: A Python package for spectral decomposition - Published in JOSS (2024)

iminuit • Rank 21.1 • Science 77%

Jupyter-friendly Python interface for C++ MINUIT2

spectrafit • Rank 11.6 • Science 67%

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

petrofit • Rank 9.8 • Science 64%

Python package for calculating Petrosian properties and fitting galaxy light profiles

interactive_data_editor • Rank 4.6 • Science 67%

A Software to interactively edit data in a graphical manner

diffusional-fitter • Rank 2.1 • Science 57%

This program fits diffusional baselines to cyclic voltammetry data, allowing for a more accurate measurement of peak Faradaic current than linear methods.

https://github.com/mpes-kit/fuller • Rank 6.9 • Science 49%

Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data

fitpy • Rank 5.2 • Science 44%

A Python package for fitting models to (spectroscopic) data.

reptate • Rank 9.9 • Science 36%

RepTate (Rheology of Entangled Polymers: Toolkit for Analysis of Theory & Experiment)

mpes • Rank 8.6 • Science 33%

Distributed data processing routines for multidimensional photoemission spectroscopy (MPES)

smpl • Rank 12.0 • Science 26%

pydtmc • Rank 13.6 • Science 23%

A library for discrete-time Markov chains analysis.

AdMit • Rank 11.4 • Science 13%

Adaptive Mixture of Student-t distributions

https://github.com/arunoruto/lumafit • Science 26%

A Numba-accelerated Levenberg-Marquardt fitting library

spey • Science 67%

Smooth inference for reinterpretation studies

numere • Science 67%

Framework for numerical computations, data analysis and visualisation

flama • Science 67%

This code adjusts interatomic potentials from a reference database of atomic structures and their corresponding DFT energies. For the calculation of energies from atomic positions, it uses the GULP or LAMMPS program via an interface. The adjustment of the potentials is done by means of a genetic algorithm. The code has been tested for the calculation of interatomic potentials of perovskites PbCs(Br,I,Cl)3 and Pb(MA,FA,Cs)(Br,I)3. The calculation of the reference database of energies and geometries was calculated using the VASP code.

swissfit • Science 67%

General-purpose library for fitting models to data with correlated Gaussian-distributed noise

sherpa • Science 67%

Fit models to your data in Python with Sherpa.