Robust Statistics Python Packages

robustats

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

cloudsealed-jit

Detects structural waste in cloud billing exports (AWS/GCP/Azure) using rolling-median + MAD, robust to the masking effect that breaks mean+stddev anomaly detection. Python library, CLI, FastAPI service, and GitHub Action.

robustcov

Robust scatter geometry for anomaly detection, kernels, and ML workflows in Python.

lmo

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

delicatessen

Delicatessen: the Python one-stop sandwich (variance) shop 🥪

rcr

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

hypothesize

Robust statistics in Python

rsklpr

Robust locally weighted multiple regression in Python

levy-stable-jax

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

embarrassingly

robust optimization

pyrobustregressionlib

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

robustgp

Robust Gaussian Process with Iterative Trimming

robust-statistics-simulator

Robust statistics in Python

robustats-py

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