6 projects
Statistical Modeling Libraries
Libraries that provide tools for building and analyzing statistical models, including formula specification, design matrices, and model fitting interfaces. These libraries serve as the foundation for statistical analysis and machine learning workflows.
4,640 contributors
$28M
Most contributors
statsmodels
Statsmodels is a Python library for statistical modeling and econometrics that provides classes and functions for estimating various statistical models, conducting statistical tests, and exploring statistical data. It includes linear regression models, time series analysis, discrete choice models, and many other statistical methods.
Contributors
3,406
Organizations
618
Software value
$24M
StatsBase.jl
StatsBase.jl is a foundational Julia package that provides core statistical functionality and basic descriptive statistics, including measures of central tendency, dispersion, correlation, sampling, empirical distributions, and other essential statistical computing tools
Contributors
548
Organizations
188
Software value
$344K
Patsy
Patsy is a Python library for describing statistical models and building design matrices, particularly for use with linear models, generalized linear models, and other regression models. It provides a powerful formula mini-language similar to R's formulas for specifying models.
Contributors
240
Organizations
82
Software value
$472K
MixedModels.jl
MixedModels.jl is a Julia package for fitting and analyzing linear and generalized linear mixed-effects models. It provides tools for statistical modeling of data with both fixed and random effects, particularly useful for analyzing grouped or hierarchical data structures.
Contributors
181
Organizations
57
Software value
$450K
QuantEcon.py
QuantEcon.py is a Python library for quantitative economics, providing tools and algorithms for computational economics, dynamic programming, and numerical methods. It includes implementations of economic models, optimization routines, and statistical tools used in quantitative research and education.
Contributors
174
Organizations
33
Software value
$660K
easystats
easystats is a collection of R packages that provide utilities for statistical analysis, making it easier to compute, interpret, and visualize statistical operations in R. It aims to simplify statistical workflows by providing consistent, intuitive interfaces across multiple statistical packages.
Contributors
91
Organizations
24
Software value
$1.8M