A Python 2.* port of 3.4 Statistics Module
Powerful data structures for data analysis, time series, and statistics
Vega-Altair: A declarative statistical visualization library for Python.
Statistical computations and models for Python
A Python package for describing statistical models and for building design matrices.
Statistical data visualization
A light-weight and flexible data validation and testing tool for statistical data objects.
Time series forecasting suite using statistical models
Library and standards for schema and statistics.
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor
Calculate statistical features from text
OpenVINO™ Telemetry package for sending statistics with user's consent, used in combination with other OpenVINO™ packages.
Propensity score matching for python and graphical plots
Probabilistic modeling and statistical inference in TensorFlow
A Python library for probabilistic modeling and inference
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Generic API for dispatch to Pyro backends.
Statistical computation and diagnostics for ArviZ.
Pingouin: statistical package for Python
Pure Python geodesy tools
Probabilistic modeling and statistical inference in TensorFlow
Record file download statistics
Web Statistics and Analytics Package
Model summary in PyTorch, based off of the original torchsummary.
Pytest plugin to track and report system usage statistics
Linear Panel, Instrumental Variable, Asset Pricing, and System Regression models for Python
Classification Schemes for Choropleth Maps.
MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data. It provides methods for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, machine learning, and statistics.
Core components of PySAL - A library of spatial analysis functions
Offline statistics solver: descriptive statistics, probability distributions, confidence intervals, hypothesis tests, regression and correlation, experimental design, quality control and reliability, with steps, LaTeX and honest refusals
Design of Experiments for Python
A pytest plugin to list worker statistics after a xdist run.
Data Exploratory stats and Quality diagnostics for pandas and Polars DataFrames. One easy call each.
DataFrame with inline stock statistics support.
Summarize geospatial raster datasets based on vector geometries
KRATOS Multiphysics ("Kratos") is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
Exploratory Spatial Data Analysis in PySAL
Statistical learning for neuroimaging in Python
A home for new additions to PyMC, which may include unusual probability distribitions, advanced model fitting algorithms, or any code that may be inappropriate to include in the pymc repository, but may want to be made available to users.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
Publication-ready tables from regression results (pyfixest, statsmodels, linearmodels, lifelines, Stata, or any package via a plug-in interface), descriptive statistics, and balance tables, with output to LaTeX, Word, Typst, and HTML (via Great Tables)
empyrical is a Python library with performance and risk statistics commonly used in quantitative finance
Compute statistics and regression in one pass
Marketing Statistical Models in PyMC
Retrieve baseball data in Python
Utility for examining python source files to ensure proper documentation. Lists missing docstrings, and calculates overall docstring coverage percentage rating.
High-precision error functions and normal distribution (Cody's algorithm)