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
H2O, Fast Scalable Machine Learning, for python
OpenVINO™ Telemetry package for sending statistics with user's consent, used in combination with other OpenVINO™ packages.
A Python library for probabilistic modeling and inference
Generic API for dispatch to Pyro backends.
Pytest plugin to track and report system usage statistics
short package description
Record file download statistics
Classification Schemes for Choropleth Maps.
Model summary in PyTorch, based off of the original torchsummary.
Pyro PPL on NumPy
A custom statistics library/ resampling technqiues for chi-abs, boostrapting analysis and other statistical functions.
A CPython extension supporting pyinstrument
Calculate statistics in dataframes using weighting functions
SpaceONE statistics service
Statistical post-hoc analysis and outlier detection algorithms
Linear Panel, Instrumental Variable, Asset Pricing, and System Regression models for Python
A module which gives the stats of any random cricketer in form of pandas dataframe
Statistical Process Control Charts Library for Humans
add statistical significance or custom annotations on seaborn plots. Based on statannot 0.2.3
Tools for fast and robust univariate and multivariate kernel density estimation
dcor: distance correlation and energy statistics in Python.
Running/online statistics for PyTorch
Pingouin: statistical package for Python
Statistical learning for neuroimaging in Python
Statistics for biological researches
Core components of PySAL - A library of spatial analysis functions
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features
Probabilistic modeling and statistical inference in TensorFlow
Summarize geospatial raster datasets based on vector geometries
Gaussian distributions and Binomial
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
Functional Data Analysis Python package.
Utility for examining python source files to ensure proper documentation. Lists missing docstrings, and calculates overall docstring coverage percentage rating.
Model summary in PyTorch, based off of the original torchsummary.
Line-granularity, thread-aware deterministic and statistic pure-python profiler