Statistics Python Packages

scikit-learn

scikit-learn: machine learning in Python

statsmodels

Statsmodels: statistical modeling and econometrics in Python

boltons

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

about-time

A cool helper for tracking time and throughput of code blocks, with beautiful human friendly renditions.

lifelines

Survival analysis in Python

ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

pytensor

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

tensorflow-probability

Probabilistic reasoning and statistical analysis in TensorFlow

reliability

Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

pandas-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

mne

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

pingouin

Statistical package in Python based on Pandas

tfp-nightly

Probabilistic reasoning and statistical analysis in TensorFlow

rpy2

Interface to use R from Python

hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

lifetimes

Lifetime value in Python

causal-learn

Causal Discovery in Python. Learning causality from data.

pylibraft-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

libraft-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

pyflux

Open source time series library for Python

preliz

Exploring and eliciting probability distributions

sweetviz

Visualize and compare datasets, target values and associations, with one line of code.