Robust Statistics Python Packages

robustats

Robustats is a Python library for high-performance computation of robust statistical estimators.

delicatessen

Generalized M-Estimation

lmo

Trimmed L-moments and L-comoments for robust statistics.

hypothesize

Robust statistics in Python

rsklpr

Robust locally weighted multiple regression in Python

rcr

Robust Chauvenet Outlier Rejection: RCR is advanced, but easy to use, outlier rejection.

pyrobustregressionlib

a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.

levy-stable-jax

Lévy's alpha-stable distribution for the Jax numerical framework

embarrassingly

robust optimization

robustgp

Robust Gaussian process regression based on iterative trimming.

robust-statistics-simulator

Interactive simulations that demonstrate properties of robust statistics

robustats-py

Robust statistics for NumPy: replaces mean with median for outlier-resistant analysis