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Least Squares Python Packages

Python packages with the GitHub topic least-squares. Sorted by relevance, with stars and monthly downloads.
numericalalgorithmsgroup
dfo-ls

Python-based Derivative-Free Optimizer for Least-Squares

20K 48 16
bjodah
pyneqsys

Solve symbolically defined systems of non-linear equations numerically.

9K 53 7
xcsf-dev
xcsf

XCSF learning classifier system: rule-based online evolutionary machine learning

4K 36 14
Sm00thix
cvmatrix

Computation of training set (X^T * W * X) and (X^T * W * Y) or (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm and Jensen (2025).

4K 21 2
bdhammel
lsq-ellipse

Fitting an Ellipse using a Least Squares method, in Python

3K 161 46
econcz
pyclsp

A modular two-step convex optimization estimator for ill-posed problems

2K 1 0
tBuLi
symfit

Symbolic Fitting; fitting as it should be.

2K 244 19
econcz
pytmpinv

Tabular Matrix Problems via Pseudoinverse Estimation

1K 1 0
numericalalgorithmsgroup
dfogn

DFO-GN: Derivative-Free Optimization using Gauss-Newton

916 25 7
Gattocrucco
lsqfitgp

A general purpose Gaussian process regression module

789 11 0
econcz
pylppinv

Linear Programming via Regularized Least Squares

780 1 0
Effective-Quadratures
equadratures

Polynomial approximations

742 101 46
econcz
pytmpinvi

Interactive Tabular Matrix Problems via Pseudoinverse Estimation

684 1 0
berndporr
fir1

FIR & LMS filter implementation in C++ with Python & JAVA wrappers

654 85 23
himoto
hillfit

Fitting the Hill Equation to Experimental Data

558 13 3
powei-lin
py-minisam

Pure python implementation of minisam.

543 2 0
Technologicat
wlsqm

Weighted least squares meshless interpolator and differentiator. Py3.11-3.14.

510 19 4
antononcube
regressionizer

Python package with a class that allows pipeline-like specification and execution of regression workflows.

500 2 0
NiMlr
pyfunctionbases

A Python module to compute multidimensional arrays of evaluated functions.

300 11 0
dudusegovia
mmq-high-precision

Solução robusta para o Método dos Mínimos Quadrados em Python. Projetada para ajustar polinômios de grau alto (10+) sem divergência. Integra aritmética de precisão infinita, correção automática para falta de dados e estabilização de matrizes mal-condicionadas. Ideal para modelagem matemática onde o NumPy padrão falha por erros de arredondamento.

282 1 1
powei-lin
tiny-solver

General factor graph solver in rust

276 19 2
Dipolar-Quantum-Gases
jaxfit

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

252 61 11
davidkowalk
fitting-toolkit

A python package for modelling data with a high degree of flexibillity and control.

250 6 1
bschulz81
pyrobustregressionlib

A library that implements algorithms for linear and non-linear robust regression.

232 7 4
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