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 data visualization
Statistical computations and models for Python
A Python package for describing statistical models and for building design matrices.
Library and standards for schema and statistics.
Probabilistic modeling and statistical inference in TensorFlow
A light-weight and flexible data validation and testing tool for statistical data objects.
Time series forecasting suite using statistical models
Calculate statistical features from text
OpenVINO™ Telemetry package for sending statistics with user's consent, used in combination with other OpenVINO™ packages.
H2O, Fast Scalable Machine Learning, for python
A Python library for probabilistic modeling and inference
Generic API for dispatch to Pyro backends.
Classification Schemes for Choropleth Maps.
Pytest plugin to track and report system usage statistics
Model summary in PyTorch, based off of the original torchsummary.
Pyro PPL on NumPy
Running/online statistics for PyTorch
PyFlux: A time-series analysis library for Python
A custom statistics library/ resampling technqiues for chi-abs, boostrapting analysis and other statistical functions.
A CPython extension supporting pyinstrument
Statistical post-hoc analysis and outlier detection algorithms
short package description
Statistical Process Control Charts Library for Humans
Core components of PySAL - A library of spatial analysis functions
Web Statistics and Analytics Package
Pingouin: statistical package for Python
Summarize geospatial raster datasets based on vector geometries
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features
Linear Panel, Instrumental Variable, Asset Pricing, and System Regression models for Python
Statistical learning for neuroimaging in Python
add statistical significance or custom annotations on seaborn plots. Based on statannot 0.2.3
Feature selection using statistical significance of shap values
Utility for examining python source files to ensure proper documentation. Lists missing docstrings, and calculates overall docstring coverage percentage rating.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
PySAL-giddy for exploratory spatiotemporal data analysis
Compute statistics and regression in one pass
SpaceONE statistics service
Statistical CPU and wall-clock profilers for Python
dcor: distance correlation and energy statistics in Python.
Exploratory Spatial Data Analysis in PySAL
Methods and Functions for planar point pattern analysis
PySAL Spatial Econometric Regression in Python
A library of spatial analysis functions.
Model summary in PyTorch, based off of the original torchsummary.